Senior Data Analyst (Java + Python )

7 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Job Title:

Data Analyst

Experience:

Location:

Employment Type:

Job Overview:

Data Analyst

Key Responsibilities:

  • Design, develop, and optimize

    SQL queries

    for data extraction, manipulation, and reporting.
  • Build and maintain

    ETL pipelines

    for seamless data integration across systems.
  • Apply programming expertise in

    Python

    and

    Java

    for data analysis, automation, and solution development.
  • Utilize

    GenAI tools and LLMs

    (Large Language Models) for advanced data-driven insights.
  • Develop and refine

    prompt engineering techniques

    to generate accurate SQL queries, summarize findings, and enhance analytical workflows.
  • Translate complex data into clear, actionable insights for business stakeholders.
  • Collaborate with cross-functional teams to identify opportunities for process improvement and data-driven decision-making.

Required Skills & Qualifications:

  • 4–7 years of experience

    in data analysis, data engineering, or related fields.
  • Strong expertise in

    SQL

    (query optimization, joins, stored procedures, performance tuning).
  • Hands-on experience with

    Python

    and

    Java

    for data analysis and application development.
  • Proven experience with

    ETL tools and frameworks

    for data extraction and integration.
  • Exposure to

    GenAI tools

    and

    LLMs

    for analytics and automation.
  • Ability to apply

    prompt engineering

    for generating SQL queries, summarizing outputs, and driving deeper insights.
  • Strong problem-solving skills with a focus on innovation and accuracy.
  • Excellent communication skills, with the ability to present data insights to both technical and non-technical stakeholders.

Nice to Have:

  • Experience with

    cloud platforms

    (AWS, Azure, or GCP).
  • Familiarity with

    data visualization tools

    (Power BI, Tableau, or Looker).
  • Understanding of

    machine learning concepts

    and their application in data analysis.


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