Responsibilities:

• Design, construct, install, test and maintain highly scalable data platform in SAP and non-SAP environments.
• Ensure systems meet business requirements and industry practices, particularly in the food and beverage retail sector.
• Analyze business requirements and create conceptual, logical, and physical data models.
• Design database tables, columns, and relationships, and document data flow and dependencies.
• Build high-performance algorithms, prototypes, models and proof of concepts.
• Develop data set processes for data modeling, mining and production.
• Integrate new data management technologies and software engineering tools into existing structures.
• Research opportunities for data acquisition and new uses for existing data in the retail industry.
• Create custom software components and analytics applications.
• Collaborate with other IT team members on project goals.
• Work closely with the Data Lead / Architect to implement data strategies and ensure compliance with industry practices.

Requirements:

• Experience with ETL tools like SAP Data Services, SAP BW data extraction, SLT
• Understanding of data modeling principles and best practices, preferably in an SAP environment like SAC data modelling, S/4 Hana Embedded Analytics, Hana data modelling, BW and/or DWC/Datasphere
• Strong SQL skills, esp on MS SQL server environment, for querying and managing data.
• Experience with data visualization tools like SAP Analytics Cloud or BOBJ.
• Experience with cloud services like AWS, Google Cloud, Microsoft Azure, etc. SAP BTP will be an advantage.
• Experience in programming in SAP or non-SAP environments is an advantage.
• Understanding in SAP ERP or S/4 Hana is a plus.
• Understanding in ML or GenAI is a plus.
• Good command of Chinese Mandarin in speaking and writing is essential as you will be required to liaise with Chinese stakeholders.

Personal Attributes:

• Analytical Skills: Ability to make sense of complex data sets and convert them into actionable insights.
• Problem-Solving Skills: Ability to approach high-level challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time and resources.
• Attention to Detail: Precision and attention to detail in data analysis and coding is crucial to avoid errors and ensure the accuracy of the results.
• Communication Skills: Ability to clearly and fluently translate technical findings to a non-technical team, such as the Marketing or Sales departments.
• Teamwork: Ability to work effectively in teams, respecting ideas from team members, and taking on a variety of roles as needed.
• Continuous Learner: Technology is always evolving and it’s important to stay up-to-date with the latest trends and technologies in data engineering and analytics.

• To assist in processing of Purchase Orders, liaising with respective purchase requestors.
• Develop procurement strategies by monitoring inventory movement and determining inventory levels of products
• To follow and enforce the company's procurement policies and procedures.
• Managing inventories and maintaining accurate purchase and pricing records.
• Maintaining and updating supplier info, good supplier relations and negotiating contracts
• Monitor customer (internal) and vendor (external) compliance with procurement principles and practices.
• Negotiates and review long-term contracts with suppliers to ensure optimum cost and reliable supply
• To research, source and evaluating on-board potential new suppliers when required, and to follow correct procedures and documentation when engaging suppliers.
• Ensure that all approve vendors contracts are up-to-date and store appropriately

We are expanding our strong data science team and are looking for talented AI practitioner with applied experience in the fields of Machine Learning and Deep learning to join us. This role is best suited for candidate that is interested in developing new AI application that has a direct and immense, real-world healthcare impact.

You need to have a deep passion for analyzing and resolving healthcare problems. You display an intellectual curiosity about the business needs as well as the capability to engage with stakeholders to understand business issues.

Critical Work Functions and Key Tasks:

Analyze data

• Scope out problem definition and hypothesis for analysis for image related use case
• Responsible for image analysis, synthesis and other aspects of algorithm development, including visual recognition, object detection, segmentation and medical image processing, etc.
• Responsible for the exploration of cutting-edge technology in image related algorithms and ensure the technologies get successfully applied.
• Design experiments to test data assumptions
• Evaluate experiment outcomes to draw actionable conclusions
• Deploy data models across different channels and customer platforms

Collaborative work

• Partner with stakeholders to translate business problems into data science projects
• Develop strategies to identify, acquire and use appropriate data sets to develop practical solutions and support decision making
• Maintain an advanced knowledge of trends affecting the industry

Present insights

• Synthesize findings into actionable insights
• Apply data analysis, datamining and data processing to present data clearly
• Provide rationale, business cases and ROI models to support investment

Requirements / Qualifications

• PhD or Masters in a quantitative field such as Mathematics, Statistics, Information Technology, Physics, Engineering, Finance or equivalent
• Solid research and engineering background and experience in computer vision, machine learning, and image processing/analysis algorithms.
• Good experience with Python or R is prerequisite
• Good experience with Deep learning framework e.g. Tensorflow, keras, Pytorch is prerequisite
• Hands on experience in the development of image classification, object detection, segmentation or related is preferred.
• Good experience with SQL and/or NoSQL is preferred
• Preferably 5 - 7 years of relevant working experience.
• Proven communication skill to explain insights from technical work to non-technical audience through presentation or other means

Job Description:

• Collaborate with stakeholders to understand needs for actionable insights
• Work collaboratively with stakeholder to refine business questions and translate business needs into analytics and data requirements
• Provide thought leadership to stakeholders in determining which analytics techniques and solutions will enable the enterprise to achieve defined business goals
• Provide rationale, business cases and ROI models to support investment
• Execute both exploratory data analysis to identify trends and data analysis to solve business problems.
• Develop of analytical models on large-scale healthcare related datasets to address various business and clinical problems through leveraging advanced statistical modelling, machine learning, deep learning, reinforcement learning and natural language processing techniques.
• Support the rollouts, upgrades, implementation and release of analytics system changes
• Ideate intelligent algorithms to operate on large data sets
• Keep abreast of existing and emerging scientific principles/theories/techniques
• Plan project timelines and resources needed
• Deliver projects in line with agreed standards, providing fit for purpose solutions within time, quality and budget constraints
• Apply project management tools and processes to ensure project is cost-effective and identify any project risks
• Prepare project status reports for stakeholders
• Communicate project objectives at critical junctions to obtain buy-in from all stakeholders
• Provide advice on high-level Advanced Analytics solution designs.
• Evaluate technologies/services, providing regular reporting on emerging trends, value add information and potential impact to the healthcare landscape.
• Assist in vendor management to ensure contracted vendors deliver solutions that is architecturally sustainable and scalable.

Requirements / Qualifications

• PHD/Masters/Bachelors in Statistics/Biostatistics/Bioinformatics, Mathematics, Operation Research, Physics or other quantitative disciplines
• At least seven (7) years’ experience in providing data science or advanced analytics advisory, especially in designing and implementing data science or advanced analytics solutions on large datasets
• Deep understanding of statistical modelling, machine learning, deep learning, reinforcement learning and natural language processing techniques and a track record of solving problems with these methods.
• Proficient in tools such as R/SAS/SPSS/Python.
• Excellent communication, relationship skills and a strong team player.
• Demonstrate good, in-depth knowledge in relevant hardware/software products, frameworks and methodologies.
• Experience with

1. databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Greenplum)
2. data repository design (e.g. operational data stores, dimensional data stores, data marts)
3. data interrogation techniques (e.g. SQL, NoSQL).
4. structured and unstructured data analytics.

• Deep understanding of analytical models and methodologies – especially in the context of health analytics for clinical use and clinical safety (e.g. data mining, predictive analytics).
• Comfortable working independently to carry out data analysis, estimate resource requirement and managing timeline. Understanding and analysing huge volumes of data drawn from heterogeneous sources / repositories.
• Advance knowledge of Excel features and techniques required for the presentation of data
• The ability to work towards strict and conflicting deadlines, be able to plan and prioritise in an environment with multiple stakeholders.
• Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.
• A good understanding of Singapore Healthcare System
• An understanding of healthcare data governance, data acquisition and data management would be an advantage.
• Experience in interacting with analytics stakeholders (economists, statisticians, clinicians, policy makers) on a business or domain level would be preferred.

Summary

DataOperations Lead for a new large-scale National Healthcare IT System

Roles & Responsibilitiesas Data Operations Lead

1. Report to the Operations Manager, be responsible for data operations of a new national data repository
2. Accountable for the fulfilment of the system’s roles and responsibilities as one of the HealthierSG data single source of truth
3. Publish and enforce data definitions for established data subjects
4. Establish data contributor and data consumer onboarding processes with compliance to data governance policy, conduct onboarding with thorough quality assurance controls
5. Plan and Prioritise onboarding requests, track and report contributor& consumer onboarding status
6. Ensure data availability to data consumers, and provide timely communications in cases of disruptions
7. Respond to enquiries on data qualityand inform the relevant data contributor promptly
8. Receive and apply correctionsprovided by data contributors
9. Identify and establish measures on on-going basis to proactively detect data quality issues and follow up with the respective data contributors for timely data corrections, as well as implementation of preventive measures
10. Provide regular reporting of data quality issues to internal andexternal stakeholders, data owner, and trackall data quality issues till closure
11. Ensure compliance to both internal and external SLAs
12. Manage team’s support schedule to ensure full coverage of data operation services, as well as coaching team members to deliver consistent support service quality
13. Provide strong leadership for matters relating to operations support, processes, and guidelines to achieve service excellence
14. Advise improvements and assist in the development of measurable information and SOP / knowledge base / dashboards to assure continued effectiveness of system operations

Specific Requirement/Skillsets

• Degree in Computer Science, Information Technology,Management of Information Systems, or related discipline
• Minimum 8 years hands on experience in large scale IT applicationoperations, preferably in the area of data operation
• Excellent analytical skills with attention to detail
• Possesses good verbal and written communication across all levels of personnel with proven ability to translate complex, technical subjects into clear and concise communications to a variety of key stakeholders Pro-active, independent, and able to react quickly and resolve issuespromptly
• Experience in Healthcare domain is anadded advantage

Responsibilities:

• Define strategy and implement the plan to coordinate and aggregate demand across all Public Healthcare Institution (PHI) through internal and external forums.
• Scan industry and landscape for promising new areas in AI solutions based on MOH’s defined strategic objectives & thematic areas
• Engage users on new tech & pilot explorations, and manage the pilot lifecycle.
• Work with multiple stakeholders to identify, scope and support the implementation of POC, POV, pilot innovation projects, and manage and track life-cycle of innovation projects at each of the Explore, MVP, POC, POV and Scaling stage.
• Share knowledge and information on use cases and work with the funding agencies to identify and evaluate collaborators/providers that offer potential solutions that best suit the needs of users.
• Coordinate and communicate with the funding agencies (if applicable) whose investment and grant objectives are relevant to the potential solution at the POC or MVP stages.
• Participate as internal review and/or evaluation panelists during the screening and selection process as deemed appropriate by department/division.
• Manage AI and tech programmes, track and report to senior management / programme office and retain engagement with the stakeholders throughout the innovation life cycle.

Requirements / Qualifications

• Preferably 10 years’ experience and have hands-on experience in project management, client management of medium to large-scale projects, including innovation projects.
• Strong interpersonal skills with the ability to work with different groups of stakeholders.
• Possess leadership qualities.
• Experience in the healthcare industry or experience in developing different types of incubation programs for startups would also be an added advantage.
• Degree in Computer Science, Computer Engineering, Data Science or equivalent.

We are expanding our strong data science team and are looking for talented AI practitioner with applied experience in the fields of Machine Learning and Deep learning to join us. This role is best suited for candidate that is interested in developing new AI application that has a direct and immense, real-world healthcare impact.

You need to have a deep passion for analyzing and resolving healthcare problems. You display an intellectual curiosity about the business needs as well as the capability to engage with stakeholders to understand business issues.

Critical Work Functions and Key Tasks:

Analyze data

• Scope out problem definition and hypothesis for analysis for image related use case
• Responsible for image analysis, synthesis and other aspects of algorithm development, including visual recognition, object detection, segmentation and medical image processing, etc.
• Responsible for the exploration of cutting-edge technology in image related algorithms and ensure the technologies get successfully applied.
• Design experiments to test data assumptions
• Evaluate experiment outcomes to draw actionable conclusions
• Deploy data models across different channels and customer platforms

Collaborative work

• Partner with stakeholders to translate business problems into data science projects
• Develop strategies to identify, acquire and use appropriate data sets to develop practical solutions and support decision making
• Maintain an advanced knowledge of trends affecting the industry

Present insights

• Synthesize findings into actionable insights
• Apply data analysis, datamining and data processing to present data clearly
• Provide rationale, business cases and ROI models to support investment

Requirements / Qualifications

• PhD or Masters in a quantitative field such as Mathematics, Statistics, Information Technology, Physics, Engineering, Finance or equivalent
• Solid research and engineering background and experience in computer vision, machine learning, and image processing/analysis algorithms.
• Good experience with Python or R is prerequisite
• Good experience with Deep learning framework e.g. Tensorflow, keras, Pytorch is prerequisite
• Hands on experience in the development of image classification, object detection, segmentation or related is preferred.
• Good experience with SQL and/or NoSQL is preferred
• Preferably 5 - 7 years of relevant working experience.
• Proven communication skill to explain insights from technical work to non-technical audience through presentation or other means

Driven by the passion to improve quality of people’s lives, WS Audiology continues to grow as market leader in the hearing aid industry. With our commitment to increase penetration in an underserved hearing care market, we want to accelerate our business transformation in order to reach more people, more effectively.

We are seeking a well-rounded data engineer to join our team. As part of the Global Post Market Quality and Data Analytics team, you will play an integral role in processing consumer feedback through data quality assurance, data modelling, data integration and automation. Under a diverse team, you will have a plethora of opportunities to work cross-culturally and cross-functionally to streamline data processes.

What you will do

• Build and maintain data pipelines for efficient data movement. Use ETL processes to extract and store data from various sources and transform it into a clean and usable format.
• Develop and implement data models to support business intelligence, reporting and analytics requirements.
• Integrate data from different sources (internal/external) to provide a unified and comprehensive view of the data.
• Implement data quality checks and validation processes to ensure the accuracy and reliability of the data. Identify and address data quality issues.
• Write scripts and use automation tools to streamline data processes and workflows.
• Collaborate with stakeholders within and outside of the team to understand data needs and streamline data.

What you bring

Experience

• Bachelor's degree in Data science, Computer Engineering, Computing, IT or any other related field.
• 3+ years of relevant working experience in data roles.
• SQL, Power BI and Advanced Excel knowledge required. Proficiency in other programming languages is a plus.
• Familiarity with integrating data sets from various systems, identifying gaps and presenting visualized data using Power BI.
• Able to handle structured data from various sources and formats (e.g.: from customers and operations), such as complaints and returns.
• Basic knowledge in quality processes (medical device industry) is a plus.

Personal competencies

• Great team player and good communicator. Able to break down complex concepts in a simple and clear manner.
• Responsible with a good sense of urgency.

Who we are

At WS Audiology, we provide innovative hearing aids and hearing health services.

Together with our 12,000 colleagues in 130 countries, we invite you to help unlock human potential by bringing back hearing for millions of people around the world.

With us, you will become part of a truly global company where we care for one another, welcome diversity and celebrate our successes.

Sounds wonderful? We can't wait to hear from you.

WS Audiology is an equal-opportunity employer and committed to creating an inclusive employee experience for all. Regardless of race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status we firmly believe that our work is at its best when everyone feels free to be their most authentic self.

Job responsibilities:

• Monitor various monitoring facilities for software and hardware.
• Monitor application job flow which are scheduled by job scheduling software, and react to exceptions in accordance to Standard Operating Procedures
• Perform reports printing and distribution
• Manage IT-related incidents and problems reported via phone call or e-mail from staff
• Maintain Incident Logs for incidents and problems for all software, hardware and applications being monitoring
• Perform job submission, backup, recovery and restart in accordance to SOP or approved ad-hoc requests
• Perform first-level system and batch problem determination and resolution only, and escalation to second and third levels in accordance to Standard Operating Procedure.

Key Requirements

• Minimum Degree in IT or Computer Science from a recognized polytechnic/institution
• Minimum 2 years of working experience in relevant work area
  Experience in operating at least 3 of these platforms: AS400, Mainframe, Unix/Linux and Windows
• Proficient in using MS Office Suite of products
• Proficiency in Excel macros, pivot tables and charting is a plus.
• Good communication and interpersonal skills and proficient in English Language
• Proven ability to work independently and under pressure
• A good team player.
  

Job Description:

1. Develop and provide cloud computing services (platform-as-a-service or infrastructure-as-a-service) suggestions/proposals for SME, Enterprise and various industry verticals.
2. Design data solutions aligned to the design principles and security standards of the Google Cloud Platform.
3. Design and implement solutions around data warehouse implementation ranging from architecture, ETL processes, multidimensional modelling, data marts implementation.
4. Design and optimize data acquisition, data ingestion, data processing using ETL (Extract, Load, Transform) tool and developing dashboards or other visualizations using Google Cloud Platform or other solutions.
5. Evaluate the requirements and determine actionable tasks, estimates and provide efforts for business solution build and architecture.
6. Responsible for technical documentation on solution implementation.
7. Perform operational readiness tasks and ensure production acceptance criteria are met.
8. Respond to platform technical issues in a professional and timely manner.
9. Work closely with the sales team for cloud-related sales opportunities.
10. Support Pre-Sales activities, i.e. proposal, systems design, proof-of-concept, demo, workshop conduct, etc.

Requirements:

1. Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience.
2. 3 – 5 years of experience in Business Analytics, Data Engineering or Data Science.
3. Strong logical/analytical troubleshooting.
4. Experience in deploying and operating multi/hybrid-cloud platforms, such as Kubernetes, Anthos etc is a plus.

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.
• Minimum total three years’ work experience
• At least a Bachelor’s degree

Job Description

Duration : 3 to 6 months, 4 days per week

Miniso Singapore is looking for a dynamic Data Analytics Intern to join our team. This role offers an exciting opportunity for individuals passionate about data analysis and business. Utilize your skills to identify sales trends and contribute to the growth and success of our leading retail brand.

What you will do

• Process, clean, and verify the integrity of data used for analysis.
• Perform sales data analysis to identify sales trends, patterns, and insights that can contribute to business decision-making.
• Work in multiple projects to provide analytics insights to different stakeholders to support business decisions
• Design dashboards that are user-friendly
  Generate regular and ad-hoc reports for different departments, providing actionable insights and recommendations.
• Ability Highlighted: Data Collection and Cleaning, Data Analysis, Reporting, Data Visualization

Qualifications

• Currently pursuing a degree in business, economics, or a related field.
• Strong analytical and problem-solving skills.
• Proficiency in data analysis tools such as Excel or other tools.
• Familiarity with data visualization tools like Tableau or Power BI is a plus.
• Experience in FMCG or retail industry is a plus.
• Eagerness to learn and adapt in a fast-paced environment.

Benefits

• Gain hands-on experience in a dynamic retail environment.
• Mentorship from experienced professionals in the field.
• Networking opportunities within the industry.
• Potential for a full-time position based on performance.

How to Apply

Interested candidates are invited to submit their resume. Please send your application to [email protected].

Miniso Singapore is an equal opportunity employer. We encourage candidates from all backgrounds to apply.

About Miniso Singapore

Miniso is a global retail brand known for its high-quality, stylish, and affordable products spanning various categories such as lifestyle, beauty, and home essentials. With a commitment to providing customers with value and a unique shopping experience, Miniso has rapidly expanded its presence worldwide.

· Hand-on Development experience with PySpark, ScalaSpark and Distributed computing.

· Development and implementation experience of applications for 4-6 years.

· 4 to 6 years' experience designing and developing in Python.

· 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming

· Possess a degree in Computer Science/Information Technology or related field.

· 1 to 7 years of experience in data engineering, data modeling, and the relevant database technology (e.g. RDBMS).

· Experience in Oracle PL/SQL and Informatica PowerCenter.

· Able to design, implement solution, and perform code review.

· Experience in Systems Development Life Cycle implementation methodology (SDLC) and/or Agile methodologies like Scrum and Kanban.

· Excellent written and verbal communication skills.

· Strong interpersonal skill and able to interact with diverse stakeholders.

· Agile, fast learner and able to adapt to change.

· Good team player, with strong analytical skills and enjoy complex problem solving.

Job Responsibilities

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, collaborate with infra team to re-designing infrastructure for greater scalability and stability
• Collaborate with the infrastructure team for provisioning required infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data needs
• Keep our data separated and secure across national boundaries through multiple data centres and AWS regions
• Create data tools for analytics and data scientist team members that assist them in building and optimizing models which enables us as an innovative industry leader
• Work with data and analytics experts to strive for greater functionality in our data systems
• Build tools from ground up that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
• Prepare daily, weekly, monthly, yearly and ad hoc report and analysis for ecommerce team
• To utilize data and able to share insights with ecommerce team
• Stay abreast and able to share best practices for ecommerce data analytics

The Ideal Candidate

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with widely used RDBMS
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• A successful history of manipulating, processing and extracting value from large disconnected datasets
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Strong project management and organizational skills
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience with object-oriented/object function scripting languages: Python and/or Java, C++, Scala, etc.
• Experience with big data tools: Hadoop, Spark, Kafka, NiFi, sqoop, etc.
• Experience with relational SQL and NoSQL databases.
• Experience with data pipeline and workflow management tools: Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, Kenesis, Firehose
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience in Qlikview and Qliksense is highly preferred
• Experience with AlicCloud environment (Alicloud, AWS)
• Experience with DevOps environment: Docker, Kubernetes, Git, CI/CD

Job Purpose:

The Solution Sales Manager is the main interface between Tech Data and our partner community. The Solution Sales Manager is responsible for the ‘complete’ sales cycle for the relevant business partners with the view to maximizing revenue, margin, and partner satisfaction. Having internal resources for assistance, the role is to develop deep relationships with key people inside the business partner and uncover sales opportunities, while delivering ongoing value to the partner.

Responsibilities:

•With assistance from the Channels Director build and execute a call plan that will ensure maximum return from the business partner community.

•Develop a solid understanding of the product range and present an informed overview.

•Up and cross sell each opportunity for maximum margin return and differentiation.

•Understand strengths and weaknesses in the product sets from a technical perspective.

•Liaise with other divisions of Tech Data, as required, to ensure efficient customer transactions that ultimately deliver a sound buying experience for Tech Data’s partners.

•Keep CRM up to date to ensure you and the management team have an accurate view of your business.

•Ensure all quotations are followed up and moved through the various levels of a sales cycle with ultimate goal, being of closure.

•Capture and maintain all relevant data needed to sell and renew maintenance.

•Plan, design and implement outbound campaigns as necessary to deliver on agreed margin goals

•Make outbound sales calls to business partners and prospects as per call plan.

•Identify Tech Data services opportunities in conjunction with the Tech Data Technical Services team.

•Ensure all quotations are built using the company quotation tool.

•Provide Sales Support Specialist with all relevant information necessary to build and configure the ‘winning’ solution.

•Achieve and maintain sales certification for relevant product groups when required

•Ensure all partner issues are resolved promptly and seek management guidance where necessary.

•Ensure all business partners are alerted of any upcoming renewals

•Ensure the CRM is updated and used pro-actively to drive business engagements and forecasting

•Accurately forecast business with Sales Manager on a monthly basis.

•Work with Sales Support and provide support where necessary to ensure timely logging of orders.

Knowledge, Skills and Experience:

•Minimum 4 to 6 years of experience selling IT solutions in the channel required.

•Tertiary IT degree or Diploma preferable

•Relationship Building Skills

•Communication Skills

•Self-managed

•Maturity – able to work with all levels within an organization

•Strong business acumen

•Presentation Skills

•Leverage internal relationships and sell the ‘value add’

•Opportunity Closing Skills

•Technically competent

The Product Executive has overall responsibility to support the team in achieving the sales and profit targets for the related product groups and creating the highest return for both Tech Data and the vendor. While responsible for revenue outcomes, this is a sales enablement position where this will be achieved through marketing programs, sales training, sales support, technical pre-sales support, vendor contract and vendor relationship. These activities, especially sales and marketing are targeted at both the Tech Data extended sales team and the partner community.

Responsibilities:

• Responsible for promotion and sales of the company's suite of products
• Implementation of sales enablement programs for Tech Data and partners
• Conceptualizing of marketing programs, developing of channel and demand generation to support product group objectives
• Product and Inventory Management of appointed product lines
• Work closely with different stakeholders in the company
• Liaise with and develop relationship with principals, strategic accounts
• Engagement and cultivation of strong rapport with partners and vendors
• Maintenance and development of operational level vendor relationships
• Ensuring highest and continuously improving levels of vendor and partner satisfaction
• Execution of joint initiatives with our vendor and business partners
• Implementation of business plans that achieve agreed vendor revenue targets and generate the planned profit outcomes
• Channel distribution development and training
• Gathering of market intelligence on new products, industry trends, competitive development and constant evaluation of potential new product lines
• Maintain knowledge of sales processes, proposals, pipeline management, partner engagement so that remedial actions can be recommended where necessary
• Measurement and maintenance of critical product group performance data in order to ensure that Tech Data meets its vendor commitments and fully leverages all commercial opportunities for rebates and other vendor investment initiatives
• Support the manager in business forecasting and business planning for product groups with vendors
• Provision of various reports for the purposes of commercial decision making

Requirements:

• Diploma/Degree in IT/Business/Marketing/Sales or equivalent
• Minimum 3 years of working experience in a similar function in the IT industry
• Customer-driven and result-oriented
• Meticulous, self-motivated and able to work under pressure
• A team player with entrepreneur mindset, excellent communication, analytical, negotiation and interpersonal skills

Responsibilities

• Engage clients to identify requirements relating to cyber security solutions for Data Protection
• Proposal, scope and size technical solutions for clients
• Deploy competency’s related projects and provide consultation to clients with regard to the deployment as a Subject Matter Expert (SME)
• Create technical documentation for the solution deployment
• Empower clients through technical enablement
• Provide post-sales support services for corrective and preventive maintenance when necessary

Requirements

• Good Diploma or Bachelor’s Degree in Information Technology
• At least 1 to 4 years of IT security experience
• Experience in leveraging and expanding the capabilities of existing analytical tools and technologies; recommend new technologies as appropriate
• Experience with web security, email security and Cloud Access Security Broker (CASB) and will be preferred
• Positive working attitude
• Good communication and written skills
• Passionate in information security
• Experience in programming and scripting is preferred

Job Description

Job Purpose:

The Product Manager has overall responsibility for achieving the sales and profit targets for the related product groups and creating the highest return for both Tech Data and the vendor. While responsible for revenue outcomes, this is a sales enablement position. This will be achieved through marketing programs, sales training, sales support, technical pre-sales support, vendor contract and vendor relationship. These activities, especially sales and marketing are targeted at both the Tech Data extended sales team and the partner community.

Responsibilities:

• Creation of business plans for the vendor product group and associated services.
• Development and implementation of sales enablement programs for Tech Data and partners.
• Ensure that the technical sales support teams are appropriately trained to support the relevant product groups.
• Development and implementation of marketing programs to support product group objectives
• Creation of joint initiatives with our vendor and business partners.
• Responsible for effective planning, including inventory turns, inventory fulfillment and inventory obsolescence minimisation.
• Implementation of business plans that achieve agreed vendor revenue targets and generate the planned profit outcomes.
• Achievement of revenue plans by brand and by market segment.
• Coordinate the various functions within Tech Data in order to deliver the outcomes agreed in each product plan.
• Ensure that executive business relations with vendor partners are of the highest order, are proactive and that the engagement is continually monitored so that new initiatives can be introduced as required.
• Maintenance and development of operational level vendor relationships.
• In order to execute product leadership it will be necessary to maintain knowledge of sales processes, proposals, pipeline management, partner engagement so that remedial actions can be recommended where necessary.
• Ensuring highest and continuously improving levels of vendor and partner satisfaction.
• Maintain a high level of safety awareness within your team to promote a safe working environment for all team members.
• Maintenance of an accurate pipeline by product group
• Measurement and maintenance of critical product group performance data in order to ensure that Tech Data meets its vendor commitments and fully leverages all commercial opportunities for rebates and other vendor investment initiatives.
• Business forecasting and business planning for product groups with vendors.
• Provision of various reports for the purposes of commercial decision making.
• Be the advocate and leader for the relevant product groups in Tech Data and be the advocate and leader for Tech Data within the relevant vendor community.
• Provide direction, development and support to ensure the sales team is performing at optimum levels for the relevant product group. This will require a close working relationship with the Channels Sales Director.
• Deal effectively and efficiently with unsatisfactory performance and/or behaviour within your team.
• Provide an appropriate example of leadership, by way of behaviours, to the wider organization.
• Proactively contribute as a member of the leadership team to the commercial ‘well-being’ and longevity of the business.

Knowledge, Skills and Experience:

• Minimum 4-6 years experience within IT distribution
• Minimum education level required is a Bachelor’s Degree
• Appropriate vendor product sales certifications
• Strong leadership attributes
• Self-starter
• Results focused
• Sound business acumen
• Ability to work with little direction
• Capacity to lead vertial teams
• Influence business outcomes without having direct control

Job Purpose:

The Product Manager has overall responsibility for achieving the sales and profit targets for the related product groups and creating the highest return for both Tech Data and the vendor. While responsible for revenue outcomes, this is a sales enablement position. This will be achieved through marketing programs, sales training, sales support, technical pre-sales support, vendor contract and vendor relationship. These activities, especially sales and marketing are targeted at both the Tech Data extended sales team and the partner community.

Responsibilities:

• Creation of business plans for the vendor product group and associated services.
• Development and implementation of sales enablement programs for Tech Data and partners.
• Ensure that the technical sales support teams are appropriately trained to support the relevant product groups.
• Development and implementation of marketing programs to support product group objectives.
• Creation of joint initiatives with our vendor and business partners.
• Responsible for effective planning, including inventory turns, inventory fulfillment and inventory obsolescence minimisation.
• Implementation of business plans that achieve agreed vendor revenue targets and generate the planned profit outcomes.
• Achievement of revenue plans by brand and by market segment.
• Coordinate the various functions within Tech Data in order to deliver the outcomes agreed in each product plan.
• Ensure that executive business relations with vendor partners are of the highest order, are proactive and that the engagement is continually monitored so that new initiatives can be introduced as required.
• Maintenance and development of operational level vendor relationships.
• In order to execute product leadership it will be necessary to maintain knowledge of sales processes, proposals, pipeline management, partner engagement so that remedial actions can be recommended where necessary.
• Ensuring highest and continuously improving levels of vendor and partner satisfaction.
• Maintain a high level of safety awareness within your team to promote a safe working environment for all team members.
• Maintenance of an accurate pipeline by product group.
• Measurement and maintenance of critical product group performance data in order to ensure that Tech Data meets its vendor commitments and fully leverages all commercial opportunities for rebates and other vendor investment initiatives.
• Business forecasting and business planning for product groups with vendors.
• Provision of various reports for the purposes of commercial decision making.
• Be the advocate and leader for the relevant product groups in Tech Data and be the advocate and leader for Tech Data within the relevant vendor community.
• Provide direction, development and support to ensure the sales team is performing at optimum levels for the relevant product group. This will require a close working relationship with the Channels Sales Director.
• Deal effectively and efficiently with unsatisfactory performance and/or behaviour within your team.
• Provide an appropriate example of leadership, by way of behaviours, to the wider organization.
• Proactively contribute as a member of the leadership team to the commercial ‘well-being’ and longevity of the business.

Knowledge, Skills and Experience:

• Minimum 4-6 years experience within IT distribution
• Minimum education level required is a Bachelor’s Degree
• Appropriate vendor product sales certifications
• Strong leadership attributes
• Self-starter
• Results focused
• Sound business acumen
• Ability to work with little direction
• Capacity to lead vertial teams
• Influence business outcomes without having direct control

Job Description

Job Purpose:

The BDM is the main interface between TechData Customers and Suppliers including the end customer of the Partner. BDM is responsible for business expansion & execution of the suppliers' strategy. The BDM is responsible for the complete sales cycle with an aim to maximizing revenue, Net Gross Profits and Customer satisfaction by developing deep relationships with key people in the supplier organization, partners and end customers. Will be responsible for handling suppliers independently clearly focusing on delivery top-class value-added services.

Responsibilities:

• Create, Develop & implement supplier/vendor specific initiatives (10%)
• Channel Partner & Vendor engagement (60%)
• Execution - Credit management, Order processing, AR Collections (20%)
• Operational excellence - pipeline management, forecasting & inventory management (10%)​

Knowledge, Skills and Experience:

• Able to execute instructions and to request clarification when needed.
• Possesses basic clerical and data entry skills.
• Able to perform basic mathematical calculations.
• Able to recognize and attend to important details with accuracy and efficiency.
• Able to communicate clearly and convey necessary information.
• Able to create and conduct formal presentations.
• Able to negotiate skillfully, promote/sell ideas persuasively, and close transactions with mutually beneficial results.
• Able to constructively work under stress and pressure when faced with high workloads and deadlines.
• Able to maintain and promote social, ethical, and organizational standards in conducting internal and external business activities.
• Able to work independently with minimum supervision.
• Able to maintain confidentiality of sensitive information
• Able to build solid, effective working relationships with others.
• Able to exhibit ability to be sensitive to the needs, concerns, and feelings of others.
• Able to quickly learn new systems and technology.
• Able to use relevant computer system applications at a basic level.
• Master's / Postgraduate Degree with Sales Field of Study preferred.
• Bachelor's Degree with Technical / Business field of study required.

​

Working Conditions:

• Distribution center environment may include: exposure to extreme temperatures; high noise levels; high places; wet and/or humid conditions; and outside weather conditions
• Occasional non-standard work hours or overtime as business requires.
• On-call availability required as necessary.
• Professional, office environment.
• Frequent Travel Required (50%)

Job Purpose:

The Product Executive has overall responsibility to support the Product Manager for achieving the sales and profit targets for the related product groups and creating the highest return for both Tech Data and the vendor. While responsible for revenue outcomes, this is a sales enablement position. This will be achieved through marketing programs, sales training, sales support, technical pre-sales support, vendor contract and vendor relationship. These activities, especially sales and marketing are targeted at both the Tech Data extended sales team and the partner community.

Responsibilities:

• Implementation of sales enablement programs for Tech Data and partners.
• Implementation of marketing programs to support product group objectives.
• Execution of joint initiatives with our vendor and business partners.
• Responsible for inventory turns, inventory fulfillment and inventory obsolescence minimization.
• Implementation of business plans that achieve agreed vendor revenue targets and generate the planned profit outcomes.
• Achievement of revenue plans by brand and by market segment.
• Coordinate the various functions within Tech Data in order to deliver the outcomes agreed in each product plan.
• Maintenance and development of operational level vendor relationships.
• In order to execute product leadership it will be necessary to maintain knowledge of sales processes, proposals, pipeline management, partner engagement so that remedial actions can be recommended where necessary.
• Ensuring highest and continuously improving levels of vendor and partner satisfaction.
• Maintain a high level of safety awareness within your team to promote a safe working environment for all team members.
• Maintenance of an accurate pipeline by product group.
• Measurement and maintenance of critical product group performance data in order to ensure that Tech Data meets its vendor commitments and fully leverages all commercial opportunities for rebates and other vendor investment initiatives.
• Supporting Product Manager in business forecasting and business planning for product groups with vendors.
• Provision of various reports for the purposes of commercial decision making.
• Deal effectively and efficiently with unsatisfactory performance and/or behaviour within your team.

Knowledge, Skills and Experience:

• Minimum 1-3 years experiences within IT distribution
• Minimum education level required is a Bachelor’s Degree
• Appropriate vendor product sales certifications will be an advantages
• Self-starter
• Results focused
• Sound business acumen
• Ability to work with little direction
• Influence business outcomes without having direct control

To support the fast-growing data analytics team within Consumer Division (CD), we are looking for a competent Data Analyst to join the team in providing digital user behaviour insights on our websites and apps, to drive new subscriptions and increase monthly active users.

This Data Analyst will be deriving insights and developing dashboards with internal and external data, including but not limited to marketing and engagement campaigns, conversion levers and checkout flows. This role is expected to be highly independent, support insights projects through the entire analytics lifecycle, and be the glue between business and data.

This role will be expected to go beyond being an “analyst”. This involves understanding how different systems work, read through systems documentation on data endpoints, work with Tech to plan user behaviour tracking requirements, handle UAT to test those tracking plans, write automated ETL scripts, understand marketers’ user requirements and build/maintain the dashboards required. Recording of checks to ensure accuracy of data/insights before presentation to stakeholders will be a basic expectancy for this role.

This role will partake in new ideas and face unknowns that come with changing business demands and technical industry trends. The Analyst must be willing to explore & tackle said unknowns, and be involved in cross functional projects to ensure data related to CD data objectives are well-governed.

Roles & Responsibilities

Data acquisition

• Support Division’s need for subscriptions and revenue related data dimensions and metrics.
• Work closely with other stakeholders from SPHTech source for new behavioural/ demographic data dimensions and metrics relevant for the Division’s growth.
• Liaise with data engineers from SPHTech to ensure healthy ETL of the Division’s behavioural metrics.

Data documentation and accuracy

• Maintain high quality and proper documentation of analytical work done.
• Ensure your work, including analysis and insights are accurate and validated.

Data analysis, insights and forecast

• Contribute to analytical insights of behavioural metrics, including but not limited to content consumption, paywalls and checkout flows.
• Collaborate with the commercial analytics team to draw end-to-end insights of our readers and customers.

Dashboards

• Develop and maintain dashboards that track the readers and customer’s behavioural journey to inform marketing campaigns.

Requirements

• Proficient with at least one dashboard / business intelligence tool. Tableau and Quicksight preferred.
• Experience in creating compelling data reports, drawing actionable insights & visualisations.
• Strong data storytelling and presentation skills, with the ability to communicate findings in a clear and actionable manner.
• Experience in data extraction, aggregation, and processing with SQL. Experience with AWS Glue, Pyspark will be a bonus.
• Proficient with spreadsheets.
• Working experience with Google Analytics 360 / Google Analytics 4 / Google Tag Manager will be a bonus.
• Familiarity with marketing performance tracking and A/B testing concepts. Experience with machine learning is a bonus.
• Domain knowledge on subscription business models is a bonus.
• Exposure and understanding of digital media industry metrics is a bonus.
• Track-record of independent learning and problem-solving.
• Keen interest in stakeholder management from various backgrounds, including data engineers and product/ platform owners.
• Good time and project management skills, able to multitask, and most importantly willingness to learn.
• At least 1 year of experience in data analytics.
• A good university degree in Statistics, Engineering, Economics, Mathematics, Physics, Computer Science, Business Administration or related fields.

Project Summary

• Work closely with business (research analysts, quantitative strategist, end-users, etc), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle, e.g. data onboarding and data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Skillset Requirements

• Possess a degree in Accounting, Finance, Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 5 years of relevant experience in data management, data analytics, and data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution, and perform code review.
• Experience in Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
• Excellent written and verbal communication skills.
• Strong interpersonal skills and able to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.

About Us

When you work with us, you’ll find that we deliver results; without compromising on respect. We value each other’s differences while recognising individual strength.

We are the world’s leading contract logistics company. We create competitive advantage for our customers through customized warehousing and transportation services. We combine our global scale with local knowledge and sector expertise.

At DHL Supply Chain (DSC), there's more to a role than the work we do. Whatever your role is, we never forget that you make us who we are. We work hard to make sure a career with DHL is as satisfying and successful as it can be.

Join a supportive work environment where you’ll have the tools and training you need to grow and succeed.

DHL Supply Chain is Great Place To Work® certified.

Responsibilities

• Implementing HR Business Intelligence, Data Analysis & Analytics plans to analyze organization and people data from different sources to inform business decisions

• Researching and evaluating issues with HR reporting solutions and ensuring the application of Business Intelligence (BI) Data Analysis & Analytics tools/methods that enhance business decision making capabilities

• Consolidating internal and external HR / Finance / Operations data sets and conducting respective (management) reporting through the development of HRMS and/or Power BI solutions

• Prioritizing escalated issues arising from HR reporting and analytics solutions and coordinating with other subject matter experts to improve usability, accuracy, and effectiveness

• Developing and deploying complex HR / Payroll reports and reporting tools, and assessing analytics effectiveness on an ongoing basis

• Applying advanced technical skills (SQL, Power Query, Python) to quickly identify patterns, insights, anomalies, and solutions to deliver operational and strategic insights for decision-making

• Supporting in communicating information effectively to senior management, conveying technical information to non-technical audiences

• Applying best practices for BI, data modelling, data transformation, and data governance in HR process areas; and providing inputs that maximize the usability of organization and people data for decision making

• Drafting plans determining which Business Intelligence (BI) Data Analysis & Analytics solutions will enable the enterprise to achieve defined business goals

Requirements

• HR functional knowledge and technical knowledge around data and reporting

• Advanced data cleansing/data transformation experience within the HR space

• HR Data quality analysis and reporting experience

• Data manipulation skills: Advanced SQL, Excel, Power BI – Power Query, DaX, Dashboard experience

• Data visualization experience: python, intermediate to advanced Oracle HCM Analytics – OTBI and BI Publisher

• Demonstrated ability to work cross functionally/divisionally with colleagues

• Continuous improvement mindset and approach to work

• Strong stakeholder management and influencing skills