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Position: Business Analyst
Location: Mumbai, Andheri
Experience: 2-3 Years
CTC Range: 10-12 LPA
Employment Type: Full-Time
Industry: Fintech / Lending
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About the Role
We are looking for a detail-oriented Business Analyst with an experience of 2+ years to join our growing analytics team. The ideal candidate will transform raw data into actionable insights that drive strategic business decisions. You'll work closely with product, risk, and business teams to uncover patterns, build dashboards, and optimize processes using data-driven approaches.
Key Responsibilities
Collect, clean, and analyze large datasets to identify trends and business opportunities.
Build interactive dashboards and reports using tools like Tableau, Power BI, MS Excel.
Perform ad-hoc data analysis to support business and product teams.
Develop and monitor KPIs to track performance across business functions.
Collaborate with engineering teams to define data pipelines and ensure data quality.
Create and present data stories that simplify complex findings for non-technical stakeholders.
Contribute to predictive modeling, segmentation, and automation initiatives using Python or SQL.
Requirements
Bachelor's degree in engineering, Computer Science, Statistics, or related field.
Strong proficiency in SQL and PostgreSQL for complex queries and data manipulation.
Advanced skills in Python for data analysis and automation, including libraries such as Pandas, NumPy,and Scikit-learn.
Expertise in data visualization tools like Tableau or Looker for creating meaningful dashboards.
Experience with data cleaning, feature engineering, and analytics workflows.
Strong understanding of statistical methods and data validation techniques.
Knowledge of cloud platforms such as Google Cloud Platform (GCP) or AWS is an advantage.
Nice to Have
Experience in marketing analytics, campaign measurement, and customer journey analysis.
Experience working with fintech or financial data is a plus.
Excellent analytical thinking, communication, and storytelling abilities.
Exposure to machine learning techniques.
Knowledge of Python API frameworks or workflow automation tools (e.g., Airflow) is a plus
Job ID: 132439771