Performance Data Analyst (Marketing)

Job Title: Performance Data Analyst (Marketing)

Location: Onsite, Kolkata Experience: 1-2 years Salary: 20,000 - 30,000 per month Employment Type: Full-Time

About the Role The Performance Data Analyst converts raw marketplace data into clear commercial decisions. This is a fast-paced, execution-driven role where you will evaluate product viability, model margins, assess competition risk, and determine ROI potential. Your work directly impacts purchasing decisions and revenue performance, requiring speed, precision, and strong commercial judgement.

Experience Required 1–2 years in analytical, ecommerce, marketplace, or data-heavy roles Strong Excel / Google Sheets experience (mandatory) Marketplace experience preferred but not mandatory Demonstrated ability to learn new tools independently Comfortable working with structured, repetitive analytical tasks Training will be provided for Helium 10 / Jungle Scout. Learning speed is more important than prior marketplace exposure.

Responsibilities Identify viable products using structured commercial criteria Analyse marketplace data (Helium 10 / Jungle Scout) Evaluate search volume, revenue estimates, competition density, review velocity, keyword gaps Conduct structured competitor benchmarking Identify margin opportunity vs risk Build structured purchasing shortlists Extract, clean and structure large datasets Build commercial models including: Fulfilment fees Cost structures Break-even analysis ROI scenarios Compare supplier pricing structures Prepare structured listing data Support bulk uploads Clean and format Google Merchant Centre feeds (training provided) Identify data inconsistencies and risk flags Clearly explain commercial upside or downside

Performance Expectations Throughput: Analyse 20–30 products per day (light review) Complete structured commercial model within 24 hours Process 100 SKU dataset within 1–2 working days

Accuracy: Error rate below 1% No repeat logical mistakes Structured, defensible calculations

Commercial Thinking: Independently flag low margin Identify saturated competition Highlight review velocity risks Detect poor ROI Clearly explain product viability

Skills Required Advanced Excel / Google Sheets Logical formulas and clean referencing Structured tab architecture Margin modelling Scenario testing Data aggregation Dataset cleaning Strong written and verbal English High attention to detail Structured analytical thinking Ability to work under deadline pressure Commercial awareness beyond numbers

Why Join Us Direct impact on real commercial decisions Work in a high-performance, accountability-driven team Clear output standards and measurable expectations Opportunity to build strong ecommerce commercial modelling expertise Structured environment with speed + precision focus Exposure to real marketplace decision-making