Role:Business Analytics Manager

Job Type
Full Time

Location:
Mohali About Fitelo: Fitelo is a health-tech and wellness company focused on sustainable weight loss and better health through personalised nutrition, fitness, behaviour coaching, medical guidance, and technology. As we celebrate our 10-year anniversary, we’re proud of the journey we’ve built and the impact we’ve created. We’re now growing our team and looking for passionate professionals to be part of our next chapter.

About the role
We are looking for a Business Analytics Manager who can work closely with our Finance, Marketing, Commerce, Operations, and Product/Tech teams to build reliable data pipelines, automate reporting, develop dashboards, and generate actionable business insights. The ideal candidate should be capable of independently managing the complete data lifecycle, from data extraction, cleaning and analysis to dashboard development and translating insights into business decisions. We are looking for someone who is hands-on with SQL/Python and comfortable working directly with data and APIs, business-oriented with a strong understanding of commercial implications, and detail-oriented when dealing with marketplace revenue, refunds, returns, settlements and deductions. The candidate should be independent enough to take ambiguous business problems and drive them to solutions with minimal supervision, analytically solid to identify trends, root causes and opportunities beyond routine reporting, and collaborative enough to work seamlessly across Finance, Marketing, Commerce, Operations and Tech teams. Specifically this role will involve: 1. Revenue & Marketplace Analytics
• Extract and analyse revenue, order and SKU-level data from Amazon, Flipkart, Blinkit, Zepto, Shopify and other platforms.




• Build automated revenue and marketplace reconciliation with Finance data.
• Understand and correctly account for returns, refunds, cancellations, RTO, discounts, commissions, logistics charges, marketplace deductions, settlements and GST/TCS/TDS.
• Identify and resolve data/revenue mismatches across platforms and Finance. 2. APIs, SQL & Python
• Build and maintain API-based data extraction and integrations from marketplaces, Shopify and marketing platforms.
• Strong hands-on SQL skills for data extraction, transformation, reconciliation and analysis.
• Use Python for data processing, automation, reconciliation and recurring MIS.
• Handle API challenges such as pagination, rate limits, missing data and refresh failures.
• Build scalable and reliable data pipelines with appropriate data quality checks. 3. Customer & Growth Analytics
• Own LTV, CAC, cohort, retention, AOV and repeat-purchase analysis.
• Build customer-level datasets and analyse customer economics across service and commerce.
• Extract and integrate marketing data from Meta, Google and other acquisition platforms.
• Analyse spend, leads, conversions, revenue, CAC, ROAS and customer quality by channel/campaign.
• Develop reliable attribution between marketing platforms, customer/order data and Finance. 4. Dashboards & MIS
• Build and maintain management dashboards using tools such as Power BI, Tableau, Looker,



Metabase or similar.
• Optimise dashboard performance, data models, queries and refresh times.
• Automate daily/weekly/monthly MIS and reduce manual reporting.
• Develop dashboards covering revenue, channel performance, marketing, customer economics and profitability. 5. Cross-Functional Business Analytics
• Work independently with Finance, Marketing, Commerce, Operations and Tech teams to understand requirements and solve data problems.
• Investigate data discrepancies and identify the root cause, rather than simply reporting the variance.
• Translate business questions into data requirements and actionable insights.
• Help management understand what changed, why it changed and what action should be taken. Ideal candidate will have:
• 3–6 years of experience in Business Analytics / Data Analytics / BI / E-commerce Analytics.
• Strong SQL skills.
• Good working knowledge of Python.
• Hands-on experience working with APIs and automated data extraction.
• Experience with one or more of Amazon, Flipkart, Shopify, Blinkit, Zepto or other marketplaces/quick-commerce platforms.
• Experience working with Meta Ads, Google Ads/GA4 or similar marketing platforms.
• Strong understanding of CAC, LTV, cohort and retention analysis.
• Experience building and optimising business dashboards.
• Strong Excel/Google Sheets skills.
• Experience with Amazon SP-API, Shopify API, Meta Marketing API or Google Ads API.
• Experience with databases such as PostgreSQL, MySQL, BigQuery or similar.
• Experience in D2C, e-commerce, consumer-tech, marketplace or startup environments.

Qualifications:
Masters in Business Analytics or similar field.

📌 Business Analytics Manager (India)
🏢 Fitelo
📍 India