Posted:2 days ago| Platform: Foundit logo

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Job Type

Full Time

Job Description

Role and Responsibilities:

We are looking for candidates with strong analytical thinking, business acumen, and experience in turning data into actionable insights to support both day-to-day operations and strategic decisions.

  • Strong

    hands on knowledge of

    marketing analytics and marketing frameworks.

  • Hands on tools like

    Google Analytics, Adobe Analytics.

  • Conduct

    deep-dive analyses

    to identify performance

    trends, diagnose drivers

    , and

    uncover opportunities for process or strategy optimization

    .
  • Frame and test

    data-driven hypotheses

    , define KPIs and metrics to assess outcomes.
  • Collaborate with stakeholders across business, product, and marketing teams to define analytics requirements and translate them into structured analysis
  • Proficient in visualization using

    Tableau, PowerBI with hands on SQL.

  • Lead regular and ad-hoc

    reporting and insight generation

    to support business-as-usual (BAU) activities.
  • Provide actionable recommendations based on data trends,

    statistical analyses

    , and visualizations.
  • Support design of

    experimentation frameworks

    and testing methodologies (e.g.,

    A/B testing, pre-post analysis

    ).
  • Document analytical approaches and ensure consistency and accuracy in data interpretation.

Technical and Functional Skills:

  • BE/B.Tech or Bachelors degree in Mathematics, Statistics, Economics, Computer Science or related field with

    6 to 8+ years

    of experience in data analytics or business intelligence.
  • Strong proficiency in

    SQL

    for data querying and transformation.
  • Experience in data visualization and dashboarding using

    Tableau, Power BI

    , or equivalent tools.
  • Hands-on with

    Excel

    , and familiarity with scripting languages like

    Python or R

    (good to have).
  • Solid understanding of

    statistical techniques

    and their applications in experimentation and optimization (e.g., A/B testing, regression analysis).
  • Ability to independently explore data, structure analytical approaches, and present compelling narratives from data insights.
  • Strong knowledge of marketing analytics and marketing frameworks.

  • Able to analyze and conduct impacting driver analysis.
  • Exposure to tools like

    Google Analytics, Adobe Analytics

    is a plus.
  • Strong business acumen and the ability to translate data into meaningful recommendations for business teams.

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