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
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 Bachelor's degree in Mathematics, Statistics, Economics, Computer Science or related field with
6+ 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
Adobe Analytics
* Strong business acumen and the ability to translate data into meaningful recommendations for business teams.
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