1. Collaborate with project teams and clients to understand business requirements and translate them into analytical solutions (BRD/FRD).
2. Analyze large, complex datasets related to construction projects (Cost, Schedule, Risk, Quality, Safety, etc.) to identify trends, anomalies, and actionable insights.
3. Develop and maintain dashboards and reports using tools like Power BI, Paginated Reports, and Excel to support project decision-making.
4. Perform data validation and quality assurance checks to ensure accuracy and consistency of reports and models.
5. Optimize and maintain data models and ETL processes in collaboration with data engineering teams.
6. Support forecasting and predictive analytics for cost overruns, schedule delays, and risk exposure using statistical tools (e.g., Python, R).
7. Track and report on key project performance indicators (KPIs) and project controls.
8. Communicate findings and recommendations clearly to technical and non-technical stakeholders.
9.
Contribute to continuous improvement of data processes and reporting standards.
Skills:
Technical Skills:
- Proficiency in Power BI, Power Platform (Power Automate, PowerApps), and Paginated Reports.
- Solid SQL skills for querying and transforming data from relational databases (SQL Server, Snowflake preferred).
- Experience with Python or R for statistical analysis and predictive modeling.
- Familiarity with APIs and ETL processes for data integration.
- Understanding of data warehousing concepts and transactional systems.
- Advanced Excel skills for data manipulation and reporting. Domain Knowledge (Construction Analytics)
- Cost Management: The analyst should possess a strong understanding of construction cost structures and estimating practices to effectively interpret and analyze financial data.
- Interpret and deconstruct project budgets and estimates into granular cost components.
- Analyze budget vs. actuals to identify cost overruns and savings opp
📌 Sr. Data Analyst (Nagpur)
🏢 Spot Your Leaders
📍 Nagpur
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