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Senior Data Analyst

Job in 261201, Ahmedabad, Uttar Pradesh, India
Listing for: Mantras2Success.com
Full Time position
Listed on 2026-06-28
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing, Data Science Manager
Job Description & How to Apply Below
Senior Data Analyst | Python + ETL + Py Spark

Location:

Ahmedabad

Experience:

4+ Years
Work Mode:
Work From Office
Salary:
Up to 11 LPA

About the Role:

We are looking for a Senior Data Analyst with strong expertise in Python, ETL development, SQL, and PySpark to drive data-driven decision-making across business functions. The ideal candidate should have hands-on experience building scalable data pipelines, automating workflows, optimising large datasets, and developing analytical solutions that support business growth.

Key Responsibilities:

Design, develop, and maintain scalable ETL pipelines and automated data workflows using Python, SQL, PySpark, and MongoDB.
Analyse large and complex datasets to generate actionable business insights.
Build and optimise analytical data models, data marts, and reporting layers.
Develop automated MIS reports, dashboards, and KPI frameworks using Power BI or similar BI tools.
Implement data quality checks, validation processes, and anomaly detection mechanisms.
Collaborate with business, risk, operations, and leadership teams to translate business requirements into scalable data solutions.
Optimise SQL queries and data processing workflows to improve efficiency and performance.
Drive end-to-end ownership of analytics projects from requirement gathering to deployment and monitoring.

Required Skills:

5+ years of hands-on experience in Python for data analysis, automation, and ETL development.
Strong expertise in SQL, query optimisation, and performance tuning.
2+ years of experience with PySpark for large-scale data processing.
Experience working with MongoDB and large datasets.
Strong understanding of ETL processes, data warehousing, and data modelling.

Experience with Power BI or similar reporting and visualisation tools.
Excellent analytical, problem-solving, and stakeholder management skills.

Preferred

Skills:

Experience in Financial Services, Lending, Risk Analytics, or Fintech domains.
Exposure to cloud platforms and modern data architectures.
Knowledge of data governance, data quality frameworks, and automation best practices.
Position Requirements
10+ Years work experience
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