Description and Requirements
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.
#LPS
