More jobs:
Data Analyst; SQL/Power BI - Arrangement
Remote / Online - Candidates ideally in
Singapore
Listed on 2026-05-21
Singapore
Listing for:
Freelanceshop
Part Time, Remote/Work from Home
position Listed on 2026-05-21
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager
Job Description & How to Apply Below
We are looking for a data-driven Data Analyst to transform raw information into actionable business insights. In this role, you will be responsible for querying complex databases, performing deep-dive analysis, and designing visually compelling dashboards. This role offers a Flexible Work Arrangement, allowing you to balance remote work with occasional in-office collaboration or choose a schedule that maximizes your productivity.
Key Responsibilities:- Write complex SQL queries to extract, clean, and manipulate data from various relational databases.
- Design, build, and maintain interactive automated dashboards in Power BI to track company KPIs.
- Identify trends, correlations, and patterns in structured and unstructured datasets to support strategic decision‑making.
- Interpret data and present findings to non-technical stakeholders through clear visualizations and reports.
- Collaborate with IT and Engineering teams to improve data collection processes and data warehouse integrity.
- Perform ad-hoc analysis to troubleshoot business problems or evaluate the success of new product launches.
- Education:
Bachelor degree in Data Science, Statistics, Mathematics, Economics, or Computer Science. - Experience:
2–4 years of experience working as a Data Analyst or in a similar quantitative role. - Analytical
Skills:
Strong logical thinking and the ability to solve complex problems using data. - Communication:
Ability to tell a story with data and explain technical insights to business leaders.
- Database:
Advanced proficiency in SQL (Joins, CTEs, Subqueries, and Window Functions). - Visualization:
Expert-level knowledge of Power BI (including DAX and Power Query/M). - Tools:
Proficiency in Microsoft Excel (Power Pivot) and familiarity with Python or R for statistical analysis is a plus. - Infrastructure:
Understanding of Data Warehousing concepts (Star Schema, Snowflake Schema).
- Shift: Flexible Start/End Times (Core hours 10:00 AM – 3:00 PM).
- Schedule:
5 Days Working (Monday – Friday). - Mode:
Hybrid / Flexible (Choice of Remote or Office-based days). - Benefits:
Competitive Salary, Health & Wellness Allowances, Professional Certification Reimbursement, and high-end hardware provided.
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