We are seeking an experienced and creative Senior BI Analyst to join our team. This position requires a functional understanding of business domains preferably in one of Healthcare/ Financial services/ Retail sectors and ability to facilitate stakeholder communication, conduct workshops and create clear documentation.

A good understanding of data visualization tools such as Qlik, Tableau, or Power BI, complemented by strong proficiency in SQL would be ideal. The ideal candidate will have at least 5 years of experience in data analytics and business intelligence, with a keen ability to gather and understand customer business requirements. This role demands exceptional design skills to build visually appealing and insightful dashboards.

Key Responsibilities:

1. Requirements Gathering and Analysis:

   - Collaborate with business users to gather, understand, and document business requirements.

   - Translate business needs into technical specifications and BI solutions.

   - Conduct requirement analysis sessions with stakeholders to ensure clarity and alignment of vision.

2. Develop and Design BI Solutions:

   - Design, develop, and maintain advanced BI solutions, focusing on high usability and aesthetic appeal.

   - Create interactive and visually compelling dashboards and reports using tools like Qlik, Tableau, or Power BI.

   - Ensure data accuracy and integrity in all deliverables.

3. Data Analysis and Reporting:

   - Perform complex data analysis to extract actionable insights and support business decisions.

   - Develop automated reports and dashboards, continuously iterating to enhance user experience and data storytelling.

   - Work closely with stakeholders to tailor reporting based on evolving needs.

4. Database and Query Optimization:

   - Develop sophisticated SQL queries for data extraction and analysis.

   - Optimize database performance and query efficiency.

   - Uphold data quality and integrity standards.

5. Cross-Functional Collaboration and Support:

   - Engage with different business units to integrate BI solutions into diverse business processes.

   - Provide ongoing support and training to users on new and existing BI tools and dashboards.

   - Act as a liaison between technical and non-technical stakeholders.

6. Project Leadership:

   - Lead BI development projects, ensuring timely delivery and alignment with business goals.

   - Manage project timelines, resources, and stakeholder communication.

7. Innovate and Stay Current:

   - Keep updated with the latest trends in BI technology, design, and data analytics.

   - Evaluate and recommend new tools and technologies to enhance BI capabilities.

What the role is

Analyst - Principal Analyst (Data Systems and Technology)

What you will be working on

You will leverage AI/ML, statistics, data technologies and cloud computing platforms to develop integrated, innovative data-driven solutions which will support and advance EMA's core work and strategic goals against the backdrop of an evolving energy landscape. The key responsibilities of the officer include:
Design, build, deploy, manage and maintain end-to-end data and AI/ML projects, as well as Big Data and Cloud platforms to meet the multi-faceted needs of a rapidly growing data-driven organization in the energy sector;
Develop and implement scalable and reliable Extract, Transform and Load (ETL) processes for the ingestion and integration of large, structured and unstructured data from a variety of data sources. This includes systems that are on-premise and cloud platforms;
Working with business users, project teams, government agencies, international organizations and industry partners to explore new AI/ML and data technologies, tools and techniques in the energy sector; and identify new deployable solutions to support and advance EMA's core work and strategic goals; and
Planning and driving data analytics, management and digitalisation initiatives across EMA.

What we are looking for

- Education in Computer Science, Data Science, Statistics, Economics, or other related disciplines with substantial quantitative content.
- Relevant working experience, especially in handling data analytics or AI/ML projects; as well as strong knowledge of data/cloud technologies.
- Demonstrable experience in leveraging data/ML techniques such as data mining, data engineering, machine learning, natural language processing, etc.
- Demonstrable experience in programming languages like SAS, R, Python, Java, or Scala for data science and/or data processing applications.
- Knowledge/experience in working with Gen AI technologies such as LLM models would be an advantage.
- Excellent analytical, coordination and communication (written and verbal) skills are critical for this position.
- Applicants must possess an independent problem-solving mindset with a strong desire to find innovative and 'out of the box' solutions to problems.
- Applicants must possess strong interpersonal skills to engage, collaborate, build and maintain relationships with stakeholders.
- Applicant must be a committed team player, with a strong interest to shape Singapore's energy landscape and public service.

All new appointments will be offered on contract basis. Your remuneration and appointment will commensurate accordingly with the relevant qualifications and work experience.

Interested candidates, please apply online with your detailed resume and copies of your transcripts at

https://www.careers.hrp.gov.sg/sap/bc/ui5_ui5/sap/ZGERCFA004/index.html?search-keyword=energy%20market%20authority#/JobDescription/14374452/a94bccfb-172f-1ede-b490-5d655bb6d26c

Incomplete applications will not be considered.

WhatsApp: +65 90820021 (Kyler)

Email: [email protected]

5 days, 9am-6pm

Salary: $2400 -$2800

Address: One Commonwealth

Job scope:

• Process customer order
• Place order with supplier
• Stock in/ stock out of goods for deliveries
• Liaise with freight forwarder to arrange import/ export shipment
• Co-ordinate with sales support team on after-sale service activities

Requirements:

• Minimum Diploma in Biotechnology, Business Administration or Accounting
• With 1-2 years of administrative support experience

The Supreme HR Advisory Pte. Ltd | 14C7279

Gan Kai Le | R23112683

Customer Data Specialist (Data Analyst/ SAP/ PowerBI)

Duration: 12 Months Contract (Renewable / Convertible)

Location: Changi Business Park

Hybrid work mode

Salary : Up to $4500 depending on experience

Our client is an American technology and semiconductor company that primarily supplied programmable logic devices. The company is known for inventing the first commercially viable field-programmable gate array and creating the first fabless manufacturing model.

Job Purpose

• Looking for a self-motivated, customer service-oriented person to be part of company’s Global Customer Master Team.

Responsibilities:

• Performing Customer Data Management
• Drive process improvements and system efficiency enhancements
• Being an active part of,Processing Customer Data within SAP - MDG following set standards and procedures and within established Service Level Agreements (SLAs)
  Troubleshooting, and resolving any discrepancies in Customer Master information between source systems and the Hub
  Actively engaging with Cross Functional Business, and IT teams to resolve Customer Data Management issues
  Generating Reports and Quality Metrics
  

Requirements:

• 1 year of experience in managing cross-functional internal customers, with specific experience in utilizing various information management tools
• Analytical skills with ability to learn new technical and non technical processes
• Experiences using SAP
• Working knowledge of PowerBI, Tableau, or RPA
• Research or Data Management experience
• Diploma/Degree in Business Administration/Statistics or any discipline

Lim Pey Chyi (Apple) - [email protected]

Recruitment Consultant (R2090579)

Manpower Staffing Services (S) Pte Ltd

EA Licence: 02C3423

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Talent Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Stable Basic Salary + Attractive Incentives

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements

• Coordinate interviews between candidates and clients

• Develop connections and new business and relationship management sources with existing accounts

• Engage in networking and building relationships with business partners and jobseekers

• Ensure that the company's objectives and sales targets are met

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

Life at Grab

Grab is Southeast Asia’s leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

Guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles—the 4Hs: Heart, Hunger, Honour and Humility—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

Job Description

With a vision to become the best mobile financial services platform for SEA people: to live, earn, and play - Grab Financial Group is one of the largest and fastest-growing fintech players in the region. Enabled with a relentless pursuit for excellence, we aim to deliver the smoothest and most relevant financial services across payments, lending, insurance, and investments in the region.

Get to know our Team:

• GFG Analytics team supports the GFG product and business org. Data Scientists (Analytics) are part of one or more tech families - Fin Core, Fin Experience, Fin Identity, Payments, Financial Services (Invest, Insure & Lending).
• We care about deeply understanding how users experience the Product and partner with Business, Product, Design, and Tech to focus on the right outcomes and feature set
• We remain integral to the product development process from understanding user journeys with UX designers to hypothesis development, right through to post rollout optimization

Get to know the Role:

• Use data to understand user needs - be the de-facto Voice of the Customer (users, driver-partners, merchants, agents, etc) for all GFG teams.
• Leverage data for further insights to launch and improve goods and services on GrabPay wallet and scale it to multiple financial services.
• Champion data-driven decision-making and culture in Grab Financial Group
• Partner with Product Managers, Business Owners, UX Designers, and Engineering to design and deliver analytical projects that help support the GFG Product roadmap
• Provide thought leadership and generate data-driven hypotheses to solve key Product and Business problems

The day-to-day activities:

• Design, measure and recommend A/B tests and multivariate experiments on the platform, including, but not limited to layout optimization, UI/UX efficacy, contextualization, algorithm effectiveness, API effectiveness, etc.,
• Mine clickstream and transactional data to drive GFG product metrics through a deep understanding of user behavior i.e. consumers, driver-partners, merchants, etc.
• Implement, own and manage all instrumentation for all feature releases within the assigned tech families within GFG
• Produce segmented views of our customers, merchants for our business, and product stakeholders to drive product iterations and improvements
• Successfully provide reliable and on-time deliverables to meet individual stakeholder needs
• Build and maintain self-serve solutions for stakeholder groups that are scalable and automated to handle a dynamic product environment

Qualifications

• Bachelors or Masters degree in Statistics, Analytics, Economics, Mathematics, Engineering, or other quantitative subjects
• 3+ years experience in Analytics, Business Intelligence or Data Science role, preferably in an Internet or E-Commerce company with large, complex, high-velocity data
• Advanced SQL writing skills and experience in querying large relational databases
• Ability to distill data and articulate an actionable point of view to non-technical audiences and senior stakeholders using presentations, interactive visualizations, et al.
• Ability to handle multiple priorities and solve ambiguous problems in a fast-paced environment
• Hands-on experience with data analysis/programming tools like R or Python and Data Visualization platforms like Tableau / PowerBI / D3.js, etc.,
• Experience with designing, running, and analyzing A/B tests and product experiments. Should also have an understanding of hypothesis testing and the basic principles of DoE

Benefits at Grab:

We care deeply about your well-being and are committed to supporting you every step of the way. Here are some of the global benefits we offer:

• Protect and provide for your loved ones with peace of mind, knowing we have your back with Term Life Insurance and comprehensive Medical Insurance.
• Craft a benefits package that suits your unique needs and aspirations with GrabFlex, because we believe in empowering you to thrive.
• Embrace the magic of new life and create lasting memories with your family through Maternity and Paternity Leave.
• Life can be overwhelming, but you're never alone. Our confidential Grabber Assistance Programme is here to guide and uplift you and your loved ones through life's challenges.
• Your well-being is our priority. Benefit from our holistic well-being initiatives through Wellbeing@Grab, including health programmes, informative webinars, and vibrant carnivals.
• Achieve a harmonious work-life balance with our FlexWork arrangements, allowing you to adapt and thrive in your personal and professional life.
• We’ve got many different benefits hyper localised in each country.

What we stand for at Grab:

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. If you require accommodations to fully participate in the recruitment process, you are encouraged to include your request(s) when applying.

We deliver the greatest impact and ideas when we bring together diverse perspectives. It is what enables us to spread opportunities to Grabbers and our partners. It’s not a box-ticking exercise; it’s who we are.

Johnson & Johnson Innovative Medicine (JJIM), formerly Janssen, is driven by dedication to product innovation, customer focus, and organisational excellence. From research to real-life solutions, JJIM has a long track record in developing and marketing treatments that make a real difference.

We are currently looking for a unique individual with exceptional analytical, communication and data problem solving skills to join the Asia Pacific Data Science Centre of Excellence, as we work on transformational data science initiatives that are innovating and changing the way JJIM operates.

The Opportunity

An opportunity has arisen for an extraordinary and enthusiastic Principal Data Scientist who is passionate in crafting, developing, and fielding data science solutions that drive impact for healthcare professionals, patients and for JJIM.

As a member of the Asia Pacific Data Science Centre of Excellence, you will leverage your technical and communication skills to work on maintaining existing and developing new innovative data science models and algorithms. Your ability to learn quickly, demonstrate enthusiasm, bring a depth of machine learning understanding, and an appreciation for developing great products for our customers will be paramount to your success in this role. Primary focus areas include improving customer engagement and supporting our different therapeutic areas with innovative machine learning solutions. Specifically, you will:

• Be an individual contributor focused on developing and deploying machine learning solutions, in collaboration with the leads of the data science pillars, with particular focus on great solutions with the latest generative AI technologies.
• Collaborate with data scientists, our IT partners and our business partners across APAC to conceive, develop, and implement new analytics solutions to high-priority problems aligned with the regional game plan.
• Mentor and provide support to more junior individual contributors as appropriate.
• Remain at the forefront of the latest data science trends and best practices - in particular those to do with Generative AI, be able to integrate them into JJIM processes when appropriate, and be open to sharing that knowledge across the APAC Data Science CoE for collective capability building.
• Participate in select forums or conferences, which may require you to travel across Asia Pacific from time to time.

Qualifications

Key to your success in this role will be your foundational expertise in machine learning and proven history of writing clean and efficient code for the purpose of leveraging the latest data science technologies for organizational impact.

Required:

• Master’s/PhD in computer science, machine learning, business analytics, statistics, mathematics, bioinformatics, or related discipline.
• At least 6 years of experience in developing and deploying ML solutions in a variety of ML areas such as recommendation engine, semantic search, forecasting, anomaly detection, STT, TTS etc.
• Strong experience and knowledge of various gen-AI models and architectures, including fine-tuning open-source models, distributed training and hosting of LLM and LLM Ops.
• Solid understanding of foundational machine learning concepts and algorithms.
• Experience working with good DevOps practices, familiarity with CI/CD tools and infrastructure as code (Docker/Kubernetes/etc.).
• Expert knowledge of Python and SQL programming.

Preferred:

• Strong contribution to open-source projects.
• Thought leadership in AI/ML.
• Experience in any cloud-based stack (e.g. AWS, Azure, GCP).
• An interest in innovating in the pharmaceutical industry.

Personal Qualities

• Proven ability to work both independently and collaboratively in a team.
• Strong interpersonal and communication skills, being able to distil your tasks in a digestible form for your colleagues and stakeholders alike.

Responsibilities:

• Analyses, designs and develops digitalisation roadmaps and implementation plans based on a current versus future state solutions architecture
• Analyses the current architecture to identify weaknesses and identifies opportunities for improvement, and performs ongoing architecture quality review activities.
• Leads and facilitates the solutions architecture governance processes by aligning to the enterprise architecture and manages exceptions to architectural standards at a solutions level
• Assesses near-term needs to establish business priorities, analyses and develop solutions architectural requirements, and ensures alignment of architectural requirements with the IT strategy.
• Work with customers to identify, design and develop AI/ML solutions to address their requirements, challenges and pain points.
• Engage solution vendors to determine appropriate products that will meet customer DA/AI requirements
• Support data analytics solutions response to RFQ and tenders, proposal development and provide post-sales support.
• Lead and guide project team to develop and implement the solution
• Exercise and continually develop leadership, management and technical skills

Requirements

• Strong technical knowledge in software architecture, have breadth across technology stacks with deep hands on skills, and passionate about working with customers to help build applications at scale.
• Knowledge of Continuous Integration/Continuous Delivery environment with change/version control process and methodologies.
• Knowledge of networking, computing platform, storage, database, security, middleware, network and systems management, and related infrastructure technologies and practices.
• Experience in designing and building DA/AI solutions (eg cloud native, microservices architecture using containers/Kubernetes), integrated with machine learning pipeline.
• Experience in all stages of the project lifecycle, e.g. planning, requirements gathering, design documentation, testing, rollout and transition to Ops.
• Experience in technical presentation, technical documentation.

(EA Reg No: 20C0312)

Interested applicants, kindly send in a copy of your resume to [email protected] for immediate processing.

The Opportunity

• Adecco is partnering with a Technology Multinational Corporation company to search for a Data Analyst
• Focus: Data/trend prediction, Analysis, FAQs refinement and recommend CSOs training in Contact Centre
• Office location: Singapore- Central
• Working hours: Monday – Friday (Office Hours)

The Talent

• Possess a Degree relevant certificates in the service industry.
• Preferably min 3 years of relevant experience in contact centre industry including data/trend prediction & analysis, self-help migration.
• Actively making FAQs refinement, recommend CSOs training needs based on customer experience.

The Job

Support the contact centre related functions for the project such as data/trend prediction & analysis, FAQs refinement and recommend CSOs training.

• Monitor and assess customer experience during their interaction with the call center associates.
• Collect Data and analysis to help improve the conversation between call center agents and customer
• Collect data from system to generate statistical reports monthly
• Making FAQ refinement based on the customer experience frequent question record
• Trend prediction/ forecasting based on the data collection

Next Step

• Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package to: [email protected]
• Email Topic: Apply: Data Analyst
• We regret to inform that only shortlisted candidates will be contacted

Ling Kai Hoe

EA Licence Number: 91C2918

Personnel Registration Number: R22106166

Duties & Responsibilities

1. Handling of day-to-day accounts related administrative work

2. Maintain proper filling records

3. Assist in month-end closing

4. Other administrative duties as requested by reporting Manager

Requirements

1. Certificate at least 2 years of working experience in the related field.

2. Proficient in Microsoft Office (Excel & Word).

3. Positive working attitude, independent, initiative, meticulous, flexible and a good team player.

4. Able to multi-task and perform duties under pressure.

5. Able to relate well with staff of all levels.

For interested applicants, please email your resume to mariayim@vobis.com.sg