Data Analyst

Key Responsibilities:

Power BI Development & Analytics  

• Design, develop, and maintain Power BI dashboards and reports for KPIs and operational insights.
• Build robust data models (star schema, relationships, calculated tables).
• Develop advanced DAX measures and optimize for performance and usability.
• Implement Row-Level Security (RLS), refresh schedules, and governance best practices.
• Troubleshoot data quality issues, refresh failures, and performance bottlenecks.
• Own dashboard lifecycle: requirements → build → UAT support → deployment → enhancements.

Data Analysis, Automation & Preparation (Python + SQL)

• Use Python to clean, transform, and analyse datasets (e.g., pandas, numpy) and to automate recurring analysis/reporting tasks.
• Use SQL to extract, validate, and reconcile data across systems.
• Create reusable data preparation scripts and support dataset readiness for reporting.
• Perform root-cause analysis and explain “why” behind trends, not just “what”.

Data Storytelling & Executive Reporting

• Translate analysis into clear, actionable business insights.
• Produce professional PowerPoint decks that communicate trends, risks, and recommendations.
• Present insights to both technical and non-technical stakeholders with clarity.

Backend & Integration Support  

• Support integration work using Node.js (e.g., REST APIs, data services, connecting to internal systems).
• Build or maintain simple services/scripts to enable data movement or analytics integration.
• Must be based on real implementation experience.

AI/ML Exposure

• Experience with machine learning algorithms and tools (e.g Pytorch, R, scikit-learn, TensorFlow, Python).
• Apply basic models where useful (forecasting, anomaly detection, clustering) using Python libraries.
• Understand how predictive outputs can be operationalized into dashboards.

Qualifications:

• Bachelor’s degree in quantitative field (Statistics, Math, CS, Engineering, etc.) or equivalent.
• 4-5 years of hands-on experience delivering Power BI dashboards in production.
• Strong Power BI skills: data modeling, DAX, report development and performance optimization.
• Strong Python skills for data analysis and automation (hands-on experience required).
• Solid SQL capability.
• Hands-on Node.js exposure with real delivery experience (APIs / integration support).
• Strong communication, stakeholder management, and problem-solving skills.
• IT / enterprise application environment experience is a plus.