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Senior Data Analyst

3 - 8 years

5 - 8 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are seeking a highly skilled and analytical

Senior Data Analyst

with a strong background in Python, SQL, and modern data infrastructure. In this role, you will play a critical part in transforming raw data into meaningful insights that drive strategic decisions across the organization. You will work closely with product, engineering, and business teams to ensure that data is accessible, reliable, and actionable.

Key Responsibilities

  • Write efficient and optimized

    SQL queries

    to support reporting and analytics.
  • Develop and maintain robust

    Python

    scripts and data pipelines for data transformation and automation.
  • Work with

    PostgreSQL

    and other OLAP databases to manage and query large datasets effectively.
  • Design, implement, and optimize dashboards and visualizations using

    Metabase

    , enabling self-service analytics across teams.
  • Understand and leverage

    columnar file formats

    (e.g., Parquet, ORC) and data compression techniques to improve storage and query performance.
  • Apply a solid understanding of

    codec and compression algorithms

    to analyze and troubleshoot data storage and performance bottlenecks.
  • Collaborate with data engineers and analysts to validate data models and maintain data integrity across reporting layers.
  • Perform deep-dive analyses and generate actionable insights to improve business outcomes.

Qualifications & Skills

  • 3+ years

    of experience in a Data Analyst, BI, or similar role.
  • Proficiency in

    Python

    for data wrangling, scripting, and automation.
  • Strong hands-on expertise in

    SQL

    , including query optimization.
  • Experience working with

    PostgreSQL

    and at least one

    OLAP database

    (e.g., ClickHouse, Redshift, BigQuery, Druid, etc.).
  • Understanding of

    columnar storage formats

    (Parquet, ORC, etc.) and when to use them.
  • Familiarity with

    data codecs

    and compression algorithms such as Snappy, Zstandard, LZ4, etc.
  • Deep, practical knowledge of

    Metabase

    : dashboard creation, advanced filtering, and embedding.
  • Strong analytical skills, with the ability to translate complex datasets into clear insights and recommendations.
  • Excellent communication and stakeholder management skills.

Nice to Have

  • Experience with modern data stacks or orchestration tools (e.g., dbt, Airflow).
  • Exposure to data warehousing concepts and ETL/ELT frameworks.
  • Familiarity with cloud-based analytics platforms (e.g., AWS, GCP, Azure)

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