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Business Analyst

5 years

0 Lacs

Pune Maharashtra India

Posted:2 days ago| Platform: Linkedin logo

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Skills Required

analytics data inventory etl development python shopify wms analysis segmentation reports looker tableau powerbi merchandising pricing planning automate checks scalability finance metrics numpy mysql regression design collaborative learning forecasting statistics mathematics

Work Mode

On-site

Job Type

Full Time

Job Description

Job Description Position Title - Business Analyst Function/ Department-Analytics Employment Type- Full-time Purpose of the role: Build and operate the data pipelines and analytical workflows that turn raw transaction, inventory and customer data into actionable business insights. Detailed Responsibility: ● Lead end-to-end ETL development in Python or similar frameworks to ingest and transform data from Shopify, POS, WMS and marketplaces ● Perform large-scale data crunching, statistical analysis and cohort segmentation to surface trends in inventory velocity, customer LTV and channel economics ● Translate complex datasets into clear, narrative-driven dashboards and reports (Looker/Tableau/PowerBI) that inform merchandising, pricing and demand-planning decisions ● Automate recurring analysis and data-quality checks to ensure accuracy, timeliness and scalability of insights ● Partner closely with Ops, Merchandising and Finance to define key metrics, frame hypotheses and track impact of strategic initiatives Key Competencies: ● Expert in Python or similar frameworks for data manipulation (pandas, NumPy), SQL(Postgres/MySQL) and building data pipelines ● Strong ability to crunch multi-million-row datasets and perform statistical analysis (regression, time-series, cohort) ● Hands-on with BI tools (Looker, Tableau or PowerBI) and ability to design story-led dashboards ● Curious, hypothesis-driven thinker who can distill complex results into concise business recommendations ● Collaborative communicator, able to present insights to both technical and non-technical stakeholders Experience: ● Mandatory o 3–5 years as a data analyst/scientist in e-commerce or retail, with demonstrable Python or similar projects ● Desirable - o Experience architecting data pipelines end-to-end in a startup o Exposure to machine-learning models for forecasting or customer segmentation Educational Qualification: ● Mandatory - Bachelor’s in Statistics, Mathematics, Computer Science or related Show more Show less

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