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.