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Wholsum Foods (Slurrp Farm and Mille) Logo

Data Analyst - Ecommerce & D2C Insights

India, Haryana, Gurugram

3 days ago

Applicants: 0

Salary Not Disclosed

3 weeks left to apply

Job Description

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

Additional Information

Company Name
Wholsum Foods (Slurrp Farm and Mille)
Industry
N/A
Department
N/A
Role Category
Data Engineer
Job Role
Mid-Senior level
Education
No Restriction
Job Types
On-site
Gender
No Restriction
Notice Period
Immediate Joiner
Year of Experience
1 - Any Yrs
Job Posted On
3 days ago
Application Ends
3 weeks left to apply

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