Job description

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

Qualifications

Job responsibilities

• Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of Machine Learning (ML) and statistics.
• Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem and own the development of modeling framework.
• Engage stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution.
• Work with customers and internal teams to translate data and model results into tactical and strategic insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied Data Science team, employing methods which create opportunities for scale, proactively helping to drive innovation.

Minimum qualifications

• Bachelor's degree, or equivalent practical experience.
• 1 year of experience in a Data Science field.

Preferred qualifications

• Master's degree in Statistics, Mathematics, Bioinformatics, Economics, another quantitative field, or equivalent practical experience.
• Experience with data extraction and modeling tools (SQL, Python).
• Experience delivering insights from AI/ML and statistical solutions to clients, including problem scoping/definition, modeling and interpretation.
• Experience with statistical software (such as Python, R or MATLAB) and database languages (such as SQL) with understanding of Artificial Intelligence/Machine Learning (AI/ML).
• Understanding of the statistical algorithms typically used in Marketing Analytics.

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:

- Ensure customer satisfaction

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

PURPOSE

• To support the refreshed Digital Strategy focusing on GenAI, AI and Modern Data Platform, a senior data strategy and monetization leader is strongly needed to help enterprise-wide stakeholders make smarter business decisions, leveraging data and insights, fostering internal communication networks, and drive data & AI adoption and monetization.
• Lead the insights center of excellence (COE) and serve as a central resource to FWD all BUs. He/she utilizes the storytelling and leadership communication skills that are core to the role while adding capabilities to find insights in analytical and operational data as well as technical skills around Data Science & AI, Business Intelligence, and the modern data platform such as Data Mesh.
• Lead group data strategy and operation design and new data initiative planning to make FWD data strategy stay the leading edge in insurance industry
• Strong understanding of team’s processes to be the data champion for Group Data to drive the adoption of their data solutions, articulate the business benefit, get stronger buy-in from business stakeholders and provide strategy direction and business feedback.
• Drive group wide data literacy and transformation to embed AI everywhere along customer, distribution and employee journey

KEY ACCOUNTAIBILITIES

• Drive Smart Insurance Monetization to increase new VNB, improve customer experience and achieve operational excellence.
• Work with Group Strategy and BU to define VNB target for data monetization
• Drive Data Monetization execution by providing Subject Matter Expert recommendations
• Embed with stakeholder teams to understand where their business focuses are and why, what key decisions they make, how they make, and how data insights can seamlessly plug in to their business strategy as well as existing processes to maximize adoption of insights-driven decision-making.
• Observe and translate stakeholder data behaviors to technical teams (e.g., data engineering, data governance) to implement standards and processes that best fit existing ways of working
• Engage stakeholders to turn their business questions into testable hypotheses. Help prioritize needs and translate requirements for technology, analytics, and data science teams.
• Utilize AI and data visualization techniques to interpret and communicate complex data in a clear and accessible manner.
• Present insights to diverse teams inside and outside the organization applying data storytelling best practices and tailoring the message for the audience (e.g., leaders, line of business decision-makers, technical teams Get their buy-in and agree to implement.
• Produce statistics to measure product, process, and project outcomes, including benchmark metrics measuring communication processes. Conduct project debriefs, and ensure learning is incorporated for future projects and process improvement.
• Own, plan, and execute enterprise-wide data literacy and data storytelling education, serving users of different seniority, skill levels, and needs.
• Manage GO data strategy and operations

QUALIFICATIONS / EXPERIENCE

• Bachelors or Masters in Computer Science, MBA, Economics, Communications or related fields
• 15+ years of experience in a major financial or consultant organization, with large-scale data or similar program management experience.
• At least 5 years in a management role, with board level change or transformation leadership experience.
• Well versed with industry trends
• Advanced communications, marketing, or journalism experience.
• Good experience using business intelligence tools and data visualization best practices.
• With experience for data and AI monetization

KNOWLEDGE & TECHNICAL SKILLS

• Data strategy design in line with group overall strategic directions
• Data literacy concepts (able to explain descriptive, diagnostic, predictive, and prescriptive analytics as well as common use cases)
• Data Monetization Leadership skills
• Data storytelling best practices
• Data visualization best practices
• Content creation and knowledge management best practices
• Qualitative research methodologies
• Quantitative analytical methodologies
• Data storytelling methods and best practices
• Design thinking, creation of user stories
• Workshop facilitation
• Deep understanding on FWD BU’s business and their strategic directions, able to translate group-level data strategy to adopt to local’s situation
• Good communication skills, able to gain other’s trust and extract business insights from various angles and translate into effective user requirements for data team to process and develop

A Project Business Analyst in a data analytics and cloud setting is responsible for supporting project management activities by analyzing data, monitoring project progress, and ensuring that project goals align with organizational objectives. They work closely with project managers and stakeholders to gather requirements, assess risks, and work close with the technical team to deliver the project.

Key responsibilities include managing requirements, facilitating communication among team members on project needs and requirements, manage end user testings, and manage project documentation. The role requires a strong communication, strong analytical skills, proficiency in data visualization tools, and a good understanding of cloud technologies.

Roles and Responsibilities

a) Involve in various stages of the systems development life cycle; adopting waterfall, agile or hybrid development methodology.

b) Involve in project planning and budgeting.

c) Plan and lead project delivery.

d) Involve in procurement (e.g. Call RFP/ITQ, evaluate and award to selected vendor).

e) Manage and work closely with various stakeholders (e.g. end users, senior management and external vendor).

f) Conduct user requirement gathering sessions for the development / implementation of new system or enhancements to existing systems.

g) Manage project implementation, application testing, supporting application patches and upgrades are in accordance with project methodologies and policies.

h) Manage project based on the project plan and timeline to meet identified business needs, within agreed parameter of cost, duration and quality.

i) Mitigate project risks.

j) Understand IT management policy, quality management policy and security guidelines to ensure the development processes, procedures and system are designed to comply with these policies and guidelines.

k) Evaluate potential solutions and make recommendations to resolve business problems.

l) Provide guidance and coaching to junior team members.

m) Conduct end user training if required.

Requirements / Qualifications

a) Degree/Master in Computer Science, Information Technology, Computer Engineering or equivalent.

b) Seven (7) years’ experience in providing data warehouse or advanced analytics solutions.

c) Minimal Four (4) years’ experience in project management.

d) Thorough understanding of data warehouse concepts, dimensional design, and advanced analytics techniques.

e) Experience in any Data Management, Business Intelligence or Advanced Analytics tools.

f) Ability to manage/influence users, vendors and coordinate with multi-disciplinary teams.

g) Strong analytical skills and ability to work independently, as well as in a team.

h) Exposure to hospital information / clinical systems is an added advantage.

i) AWS cloud experience is a must.

j) Experience in Tableau Cloud, Informatica IDMC and Databricks projects is preferred.

Preferred Skills:

• Experience with big data technologies like Apache Spark and Hadoop on Databricks.

• Experience in AWS Services focusing on data and architecting.

• Knowledge of containerization and orchestration tools like Docker and Kubernetes.

• Familiarity with data visualization tools like Tableau or Power BI.

• Understanding of DevOps principles for managing and deploying data pipelines.

• Experience with version control systems (e.g., Git) and CI/CD pipelines.

• Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

Responsibilities

a. Involve in various stages of the systems development life cycle, adopting waterfall, agile or hybrid implementation methodology.

b. Perform work planning and budgeting. E.g., review and write approval papers.

c. Plan, lead and manage project delivery (inhouse or outsource). E.g.:

· Involve in procurement (e.g., Call RFP/ITQ, evaluate vendors’ proposal).

· Manage and work closely with various stakeholders (e.g., end users, senior management, and external vendor).

· Conduct user requirement gathering sessions for the implementation of new systems or enhancements to existing systems.

· Manage project based on the project plan and timeline to meet identified business needs, within agreed parameter of cost, duration, and quality.

· Mitigate project risks.

d. Understand procurement, system, and security policy to ensure compliance during project implementation/maintenance period.

e. Evaluate new solutions and make recommendations to resolve business problems.

f. Coach team members.

Requirements

a. Degree/Master’s in Computer Science, Information Technology, Computer Engineering or equivalent.

b. Minimal 10 years’ experience in project management.

c. Minimal 7 years’ experiences in providing data warehouse or analytics solutions.

d. Commercial cloud certification (e.g., AWS practitioner, solution architect).

e. Good self-organization and project management skill.

f. Experience in senior stakeholder management and maintaining professionalism in communication.

g. Experience in any Data Management, Business Intelligence or Analytics tools.

h. Experience in negotiation and execution of contracts with vendors.

i. Ability to manage/influence users, vendors, and coordinate with multi-disciplinary teams.

j. Strong analytical skills and ability to work independently, as well as in a team.

k. Worked in a government agency or healthcare industry is an added advantage.

l. Exposure to hospital information / clinical systems is an added advantage.

About Us

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.

Responsibilities:

1. Cooperate closely with Product Managers and provide actionable insights to drive SEA business growth, and improvement of operational efficiency.
2. Leverage data analysis expertise to design data solutions to solve commerce product problems such as supply growth, seller growth and marketplace efficiency etc.
3. Design and conduct A/B testing experiments to estimate the new product feature launch, to help evaluate the ROI efficiency.
4. Provide in-depth analysis with localized suggestions for improvements to align with business goals.
5. Build and improve data infrastructure such as dashboards and self-serve analytics tools to improve efficiency and support decision-making.

Qualifications

Minimum Qualifications

1. At least 3 years of working experience in data analytics, with a Mater's degree or above.
2. Proficient in SQL, Python or R, and expertise in A/B testing experiment design is required.
3. Familiar with the product design process, and experience as partner to Product Managers is highly preferred.
4. To succeed in the role, you need to be a proactive, self-driven and impact-driven person.

Preferred Qualifications

1. Able to work with cross-functional teams in a fast-paced environment.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Key Responsibilities

• Accurately document all equipment deliveries and removals.
• Conduct routine audits to ensure inventory integrity and compliance.
• Use equipment such as pallet jacks to facilitate safe item movement.
• Work within a ticketing system to manage tasks and assignments effectively.
• Execute the secure destruction of data-storing devices, including hard drives and SSDs.
• Manage shipping, receiving, and inventory processes.
• Prioritize and resolve tickets, escalate issues, and handle blockers to sustain inventory operations in line with service agreements.
• Be prepared to work outside standard business hours, including weekends or holidays, as needed.

Qualifications and Skills

• Diploma or Degree in IT, Computer Engineering, or a related discipline.
• At least one year of experience in IT Support or Systems Monitoring (fresh graduates with a proactive attitude are encouraged to apply).
• Minimum six months of experience in Inventory Control, Logistics, or Warehouse Management.
• Capable of performing physical tasks, including lifting and working at heights, with or without equipment assistance.
• Excellent communication skills in English, both spoken and written.
• Motivation to grow and learn new technical skills.

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Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Morgan McKinley is seeking a Senior Data Scientist for a 12 month contract assignment with a possibility to extend or to go perm!

Job Responsibilities:

• Conduct tailored analyses to define and track critical business metrics, recommending improvements.
• Frame business scenarios and propose impactful features for decision-making.
• Transform requirements into clear insights via reports and dashboards, consolidating data from multiple sources.
• Develop data pipelines and custom data models to address business problems.
• Launch A/B tests, conduct analyses, and provide actionable recommendations based on findings.

Qualifications:

• 6+ years experience as a Data Scientist in data-related fields, preferably in D2C/B2C sectors like E-Commerce or Retail Analytics.
• Strong problem-solving abilities and ownership of ambiguous business challenges, with a knack for innovative solutions.
• Proficient in SQL, Python, R, and familiar with designing experiments and data visualization (PowerBI/Tableau).
• Exceptional communication skills to influence teams and stakeholders effectively.

Interested candidates may apply through the application system or send it to [email protected]. Shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to Morgan Mckinley Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.morganmckinley.com/sg/privacy-policy. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Morgan McKinley Pte Ltd
Koh Boon Sien
EA Licence No: 11C5502
EA Registration No. R1110345

Job Summary

An exciting opportunity for Data Engineer to be a part of a project for strategic initiatives in architecting, designing and building next-generation cloud-based data platforms.

Mandatory Skill-set

• Degree in Data Engineering, Computer Science, Information Technology;
• At least 5 years of experience in data engineering and modelling;
• Strong hands-on exposure in data science, data analytics and / or data engineering;
• Have experience with Big Data platforms such as Hadoop, Spark, and NoSQL databases
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage;
• Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases;
• Good understanding in using cloud technologies such as AWS, Azure, and Google Cloud;
• Experience with orchestration frameworks such as Azure Data Factory, Airflow;
• Experience with distributed data technologies such as Spark, Hadoop;
• Proficiency in programming languages such as Python, R, Java, or Scala;
• Familiarity with building and using CI/CD pipelines;
• Familiarity with DevOps tools such as Git, Terraform, Git;
• Strong hands-on exposure with ETL Extract, Transform, Load tools;
• Possess strong written and verbal communication abilities, effectively conveying information to various stakeholders.

Desired Skill-set

• Experience in designing, building, and maintaining batch and real-time data pipelines;
• Experience with Databricks or Snowflake.

Responsibilities

• Work closely with the various team in architecting, designing and building ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Involved in architecting and scaling data analytics infrastructure on cloud environment; development of systems, architectures, and platforms that can scale large volume and variety;
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Improve and optimize the workloads, processes to ensure that performance levels can support continuous accurate, reliable, and timely delivery of data products; ensure maximum database uptime;
• Monitoring of databases and ETL systems for database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence;
• Construct, test, and update useful and reusable data models based on business data needs;
• Engagement and collaboration with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools;
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures;
• Assist to maintain master data catalogue to document data assets, metadata and lineage;
• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data;
• Involved in managing production services that provide analytics capabilities to our various data users across the division.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

We are looking for candidates to drive new businesses, to SUPPORT and to INTRODUCE new customers to our clients.

This is an EXCELLENT opportunity for you, if you’re looking to make a huge impact in a HIGH- GROWTH environment. If you thrive on ownership and functioning creatively and collaboratively with teammates, this is the role for you!

What you'll bring to the table:

- Good communication skills
- A love for regular human interaction.

- Self-motivated.

- If the word "NO" just makes you more adamant to succeed at something.

What we HAVE:

- Supportive team who coach and developing talented salespeople.

- Realistic goals and activity-based bonuses, with competitive commissions.

- Regular company and team social events.

If you have what it takes, then we would definitely like to speak with you!

Roles & Responsibilities

Are you driven and ambitious?

If so, we want you to be on our team as a Sales and Marketing Superstar!

About Us:

We are passionate about face-to-face marketing. We believe in building relationships on trust and are committed to creating an environment where creativity and innovation thrive. Our team compromises dynamic individuals driven by a shared vision to build brands.

We are seeking the next upcoming individual who will join our team to drive sales. You will play a pivotal role in representing clients to build brand awareness, working closely with like-minded individuals.

Responsibilities:

• Develop Brand Awareness
• Execute Marketing Campaigns

Requirements:

• Team Player
• Eager to Learn
• No Prior Experience needed

Why Join Us:

You will be part of a vibrant and supportive team. We offer Travelling Opportunities, Career Growth, and Weekly Uncapped Earnings.

Role:
- Assist the team with the execution of events
- Actively representing clients in campaigns
- Manage and build your team

What we are able to provide:
- 1-1 Mentorship
- ​Transparent Career Advancement
- ​Positive and supportive company culture

Requirements:
- Desire for growth and development
- Open to learning
- Proactive team player

Apply now if you are the next big thing out there :)

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Recruitment 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

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

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

• Developing connections and new business and relationship management sources with existing accounts.

• Networking and building relationships with business partners and jobseekers

• 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]