Data Analyst (SQL/Power BI) - Flexible Work Arrangement

Location

Singapore

Job Type

FULL_TIME

Experience

Financial Analysis

Job Description

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.


Requirements:

  • 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.

Technical Requirements:

  • 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).


Work Details:

  • 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.

Additional Details

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