Senior Data Analyst

6 years

0 Lacs

Posted:21 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About the Role

Senior Data Analyst

massive-scale datasets (billions of data points)


What We Are Looking For

1. Analytics & Problem-Solving Excellence

  • Exhibit

    structured thinking

    ,

    strong analytical skills

    , and a

    data-driven mindset

    .
  • Solve complex, ambiguous problems with creativity and precision.
  • Deep understanding of

    experimentation, A/B testing

    , and

    statistical modeling

    .
  • Ability to translate analytical findings into

    clear business recommendations

    that drive measurable outcomes.

2. Stakeholder Management & Communication

  • Work closely with senior leaders across

    Marketing, Product, Engineering, and Operations

    to identify key opportunities and deliver impactful insights.
  • Demonstrate

    excellent communication and storytelling skills

    —able to present data to both technical and non-technical audiences.
  • Build trust with stakeholders through transparency, reliability, and a deep understanding of business context.

3. Engineering & Technical Foundation

  • Design, build, and maintain

    data pipelines

    connecting games, ML models, data warehouses, and third-party systems.
  • Proficient in

    SQL

    (expert level) and

    Python

    for data manipulation, analytics, and automation.
  • Experience working with

    large-scale data systems

    (handling billions of data points).
  • Familiarity with

    data modeling

    ,

    ETL design

    , and performance optimization.


4. Data Visualization & Reporting

  • Proficiency in

    Excel

    and at least one BI/visualization platform such as

    Metabase

    ,

    Looker

    ,

    Tableau

    ,

    QlikView

    , or

    Power BI

    .
  • Build scalable, self-serve dashboards and intuitive visualizations that enable faster decision-making.
  • Ensure data accuracy and clarity in all reports and visual artifacts.
  • Comfortable distilling complex data into simple, actionable insights.

5. Action-Oriented, Ownership-Driven & Independent Contributor

  • Strong

    bias for action

    and ability to deliver at speed.
  • Take complete ownership—from

    conceptualization to execution

    —for analytics and data science projects.
  • Proven ability to work

    independently

    , prioritize effectively, and manage multiple parallel initiatives.
  • Proactively identify opportunities, propose solutions, and drive them to completion.


Responsibilities

  • Deliver

    end-to-end analytics and data science projects

    aligned with product and business goals.
  • Conduct

    deep-dive analyses

    to uncover actionable insights across

    user acquisition (UA)

    ,

    marketing performance

    , and

    campaign effectiveness

    , including

    high-budget, multi-channel campaigns

    .
  • Partner with the Marketing and UA teams to

    optimize spend efficiency

    ,

    ROI

    , and

    creative performance

    through data-driven recommendations.
  • Collaborate with game and product teams to

    design, validate, and optimize

    data-driven product features and engagement strategies.
  • Design, execute, and interpret

    experiments

    (A/B tests) to guide strategic product and marketing decisions.
  • Build and maintain

    dashboards, automation pipelines, and analytical frameworks

    to empower business and marketing teams with real-time insights.
  • Mentor and guide junior analysts

    , fostering analytical rigor and technical growth within the team.
  • Contribute ideas and innovations

    during product and marketing brainstorming and planning sessions.


Preferred Qualifications

  • 4–6 years of experienc

    e in

    data analytics

    , ideally in

    gaming

    ,

    consumer tech

    , or

    digital products

    .
  • Strong foundation in

    statistics, experimentation, and data science fundamentals

    .
  • Strong proficiency in

    SQL, Excel, Python

  • Bachelor’s or Master’s degree in

    Engineering, Statistics, Mathematics, Economics

    , or related quantitative field.
  • Experience with

    big data platforms

    (Athena, Redshift, Hive, Spark) is a plus.
  • Prior exposure to

    digital marketing analytics

    ,

    UA optimization

    , or

    large-scale campaign measurement

    is highly desirable.


Bonus:

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