Job Description – Data Modelling and Analytics Professional

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Location:
Mumbai –
Mumbai Candidates Only

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Experience:
2–5 Years

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Working Days:
5 Days a Week

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Shift:
General Shift

Role Purpose

We are looking for a
Data Modelling and Analytics Professional
to structure complex datasets, build robust analytical models, and generate actionable insights to support business and financial decision-making.

The ideal candidate should have solid expertise in
data modelling, SQL, Python, Power BI, financial analysis, and business analytics
, with the ability to work across financial, operational, and market datasets.

Key Responsibilities
- Design and build
analytical data models
combining financial, operational, and market data.
- Define relationships, hierarchies, dimensions, and data structures across multiple data sources.
- Develop
predictive, forecasting, and scenario-based models
to support business decision-making.
- Extract, clean, transform, and validate large datasets using
SQL and Python
.
- Analyze financial statements, business drivers, profitability,



and performance trends.
- Conduct
company, sector, and peer benchmarking
, similar to equity-research analysis.
- Develop dashboards and management reports, preferably using
Power BI
.
- Build and maintain
Power BI data models
for business reporting and analytics.
- Automate recurring
data ingestion, validation, analysis, and reporting
activities.
- Work with stakeholders to understand business requirements and translate them into analytical solutions.
- Ensure data quality, consistency, accuracy, and reliability across analytical models and reports.

Required Skills & Experience
- 2–5 years of experience
in:
- Data Modelling
- Data Analytics
- Business Analytics
- Equity Research
- Financial Analytics
- Related analytical roles
- Strong hands-on experience in designing and building
analytical data models
.
- Strong experience with
Power BI
, particularly data modelling and dashboard development.
- Profici

📌 Data Modelling (Mumbai)
🏢 Runmap Infotech Private
📍 Mumbai