Data Analysis Associate

1 - 3 years

3 - 7 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Summary

Data Analyst

Key Responsibilities

  • Collect, clean, and validate data from multiple sources to ensure accuracy and consistency.
  • Analyze complex datasets to identify trends, patterns, and insights.
  • Develop dashboards and reports using tools like

    Power BI

    ,

    Tableau

    , or

    Looker

    .
  • Collaborate with stakeholders to define key performance indicators (KPIs) and reporting requirements.
  • Use statistical and data modeling techniques to support business initiatives.
  • Automate data collection and reporting processes where possible.
  • Present analytical findings and recommendations to both technical and non-technical audiences.
  • Ensure data governance and security best practices are followed.

QualificationsEducation:

  • Bachelors degree in

    Data Science, Statistics, Computer Science, Mathematics, Economics

    , or a related field.
  • Master’s degree preferred (for senior roles).

Experience:

  • 1–3 years (Junior) / 3–5 years (Mid-level) / 5+ years (Senior) of experience in data analysis or a related field.
  • Proven experience with

    SQL

    ,

    Excel

    , and at least one data visualization tool (e.g., Tableau, Power BI, Looker).
  • Experience with

    Python

    or

    R

    for data manipulation and analysis.
  • Familiarity with

    data warehousing

    concepts and

    ETL

    processes is a plus.

Key Skills

  • Strong analytical and problem-solving skills.
  • Proficiency in SQL and data visualization tools.
  • Working knowledge of Python/R for data analysis.
  • Excellent communication and presentation abilities.
  • Strong attention to detail and data accuracy.
  • Ability to work independently and collaboratively.

Preferred Skills

  • Experience with cloud data platforms (e.g., AWS, GCP, Azure).
  • Understanding of machine learning concepts.
  • Experience with A/B testing or business experimentation.
  • Knowledge of BI and data governance best practices

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