Data Scientist / Data Analyst

Role overview

This position is focused on turning raw data into clear business insight. The Data Scientist / Data Analyst will collect, prepare, examine, and interpret data to support strategic planning and everyday decision-making. The work blends statistical analysis, data storytelling, and visualization to surface trends, explain performance, and identify opportunities for improvement.

Core duties

The role involves pulling information from different sources, validating and cleaning datasets, and making sure the data remains accurate and reliable. A major part of the job is working with stakeholders to understand business goals and translate complex datasets into practical recommendations.

Day-to-day responsibilities include exploratory analysis, statistical techniques, and predictive methods to uncover patterns, behavior, and business opportunities. The role also produces dashboards, reports, and visual summaries that help teams monitor key metrics and make informed choices.

In addition, the position contributes to forecasting, business intelligence, and performance tracking across customer, operational, financial, and market data. The Data Scientist / Data Analyst may also build machine learning models, streamline recurring reporting, and design analytical frameworks that improve efficiency and support long-term objectives.

The role partners with teams across operations, finance, marketing, technology, and leadership to deliver useful, data-led solutions. Strong problem-solving skills and a careful eye for detail are important, as the work directly supports smarter decisions and better business outcomes.

Qualifications

• Strong ability in analysis, statistics, and structured problem-solving.
• Working knowledge of Python, R, SQL, or similar tools used for data work.
• Hands-on experience with visualization tools such as Tableau, Power BI, or comparable platforms.
• Solid grasp of statistics, probability, and modeling methods.
• Capability to clean, prepare, and examine large datasets.
• Familiarity with machine learning ideas and predictive analysis is beneficial.
• Strong critical thinking and analytical judgment.
• Ability to spot trends, patterns, and business-relevant insights.
• Experience using databases, data warehousing, and SQL-based queries.
• Good written and spoken communication skills.
• Comfortable presenting technical findings to audiences without technical backgrounds.
• High attention to detail and a strong focus on data quality.
• Well-organized with solid project coordination skills.
• Ability to collaborate effectively with cross-functional teams.
• Commitment to evidence-based decision-making and ongoing improvement.

Additional information

This is a full-time, onsite role based in Singapore River, Central Singapore Community Development Council, Singapore.

Terms & conditions

No stipend or salary amount was provided in the source information.