Data Analyst

Job Description: Data Analyst - Ecommerce & D2C Insights

WHAT WE DO AND WHO WE ARE

Join the dynamic team at Wholsum Foods and be part of an extraordinary movement Our mission is simple: to change the way the world eats. With brands like Slurrp Farm and Mille, we offer healthy and delicious alternatives to the junk food epidemic. It's time to rediscover the nutritious traditions of our ancestors and embrace the power of millets like Ragi, Jowar, Bajra, and Foxtail Millet.

Led by founders Shauravi Malik and Meghana Narayan, we are food enthusiasts, entrepreneurs, and mothers committed to making a difference. We're expanding globally and seeking talented individuals who thrive in a collaborative, innovative, and high-growth environment. Join us and embark on a rewarding journey where you can grow professionally while having a blast

At Wholsum Foods, we celebrate diversity and unity, all driven by a shared mission to revolutionize the way we eat. Our team is our greatest asset, and our core values - Relationship First, Dependable, Passionate, and Growth Mindset - bring out the best in each team member. We take pride in being an equal opportunity workplace, embracing individuals regardless of race, color, ancestry, religion, sex, sexual orientation, marital status, disability, or gender identity. Together, we will redefine the future of food

We are also Great Place to Work Certified.

ABOUT THE ROLE:

We're looking for a data-pro who can turn scattered information into sharp, actionable intelligence. Someone who enjoys connecting sales, marketing, supply chain, and customer behavior into one clean storyline — and can tell you
what happened, why it happened, and what to do next
.

This role directly influences marketing efficiency, revenue growth, supply chain planning, and website performance.

KEY RESPONSIBILITIES:

1.
Business Intelligence & Daily Analytics

• Consolidate
  SKU-wise daily sales
  , spends, ROAS, supply chain fill rates, and availability data across all channels.
• Build unified dashboards that merge all these layers into a single view of truth.
• Use AI to
  automate insights
  , detect anomalies, and generate predictive commentary.

2.
Root-Cause Diagnosis Across Functions

• Investigate business dips or changes and correlate multiple data streams to explain them.
• Example: If sales drop on a specific channel or SKU, break it down into:
• marketing spends → performance campaigns → traffic & CVR → availability → fill rate → dispatch delays → competition trends.
• Provide a clear narrative of
  what happened and why
  — and recommend actionable next steps.

3.
Predictive Analytics & Stock Planning

• Build models to
  forecast demand, project stock requirement, and predict potential stockouts
  based on sales trends, seasonality, campaign plans, and category velocity.
• Help the supply planning team prepare accurate
  input planning
  and replenishment cycles.
• Flag risk zones early — possible OOS, aging inventory, slow movers, or demand spikes.

4.
Marketing & Performance Optimization

• Analyze spends across Google, Meta, WhatsApp and identify
  leakages, inefficiencies, and opportunity losses
  .
• Build clear insights that connect marketing inputs to business outcomes.
• Identify experiments, measure results, and communicate insights simply and impactfully.

5.
D2C Funnel & Website Journey Analytics

• Map and improve full funnel behavior from ads → landing page → add-to-cart → checkout → repeat.
• Identify friction points and work with product/dev teams to increase CVR and reduce drop-offs.
• Build cohorts, LTV models, retention triggers, and customer segments.

6.
Tooling, Automation & Advanced Analytics

• Build automated reporting pipelines via
  SQL, Python/R
  , and dashboarding tools like
  Looker, Power BI, Tableau
  .
• Integrate multiple data sources (CRM, website analytics, marketing platforms, platform APIs).
• Use AI tools to increase speed, accuracy, and decision-making quality.

MUST HAVE SKILL:

• Solid in
  SQL
  , Python/R (bonus), Excel, GA4, Meta/Google dashboards, and BI tools.
• 3–6 years
  in data analytics within ecommerce, D2C, FMCG, or consumer internet.
• Strong understanding of
  performance marketing metrics
  , funnel analytics, and attribution.
• Experience with ecommerce/D2C platforms and multi-source data correlation.
• Ability to convert insights into
  clear business actions
  , not just reports.
• Experience forecasting demand, analyzing availability, and working with supply chain metrics.
• A mindset of investigation, experimentation, and continuous optimization.

NICE TO HAVE SKILLS

• Knowledge of CDPs (WebEngage, Clevertap, MoEngage).
• Basic understanding of API integrations and automation scripts.
• Experience with predictive models and time-series forecasting.

LOCATION: GOLF COURSE ROAD, GURUGRAM

START DATE: Immediately