Anirban Chakraborty

Data Scientist

Bengaluru, Karnataka, India7 yrs 4 mos experience

Most Likely To Switch

Key Highlights

Generated 200M SEK in incremental revenue through data-driven strategies.
Expert in transforming raw data into actionable insights.
Strong cross-functional collaboration to drive business impact.

Stackforce AI infers this person is a Data Analytics expert in Retail and Fintech industries.

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Skills

Core Skills

Data AnalyticsData VisualizationCustomer InsightData StrategiesBusiness InsightsFraud DetectionData AnalysisRisk AnalyticsDemand PlanningMarket AnalysisSales Analysis

Other Skills

Azure DatabricksGCP BigQueryPower BIData-driven forecasting modelsCross-functional collaborationEmail campaign strategiesRevenue generationDashboard creationSales trend analysisSQLExcelTableauLookerETL processesQuickSight

About

Senior Analytics Professional with 7+ years of experience driving data strategy and delivering actionable insights that influence business decisions at scale. I specialize in transforming complex, raw datasets into structured, reliable data models and compelling visual narratives that empower stakeholders and leadership teams. Experienced in SQL, Python, Power BI, dbt, BigQuery, Snowflake, and Databricks, with a strong focus on analytics engineering, scalable data architecture, and data visualization. I partner cross-functionally to translate business problems into data solutions that create measurable impact.

Experience

7 yrs 4 mos

Total Experience

1 yr 5 mos

Average Tenure

2 yrs 6 mos

Current Experience

H&m group

Data Analyst

Nov 2023 – Present · 2 yrs 6 mos · Bengaluru, Karnataka, India

Partnered with demand planning teams across multiple markets to allocate optimal product quantities to stores, ensuring availability while minimizing losses through data-driven forecasting models in Azure Databricks and GCP BigQuery.
Led a customer reactivation initiative targeting at-risk customers by analyzing churn signals and deploying email campaign strategies, successfully bringing back inactive shoppers and generating 200M SEK in incremental revenue in one year.
Built and maintained Power BI dashboards to track campaign performance, sales trends, and store-level demand, improving transparency for regional stakeholders.
Conducted influencer marketing analytics to measure ROI — comparing influencer costs with sales uplift — enabling leadership to optimize marketing spend and improve campaign profitability.
Collaborated cross-functionally with marketing, sales, and supply chain teams to deliver insights that shaped product range decisions, pricing strategies, and customer engagement campaigns.

Azure DatabricksGCP BigQueryPower BIData-driven forecasting modelsCross-functional collaborationData Analytics+1

Revolut

Business Analyst

Mar 2022 – Oct 2023 · 1 yr 7 mos

Utilise SQL/Excel and Tableau/Looker to identify potential fraudulent activities and anomalies.
Develop and maintain dashboards to visualise key risk metrics, trends, and patterns with simplified stories to a larger team.
Design ETL processes and formulate SQL queries to extract crucial transactional and management-level insights, while consistently enhancing reports and metrics that bolster operational strategies within the financial crime investigation domain.
Collaborate with compliance officers and fraud analysts to identify and analyse risk indicators in financial transactions.

SQLExcelTableauLookerETL processesFraud Detection+1

Amazon

Associate Business Analyst

May 2020 – Feb 2022 · 1 yr 9 mos

Identifying risk patterns/ modus operandi through data analysis using tools such as Tableau/QuickSight, SQL and/or Excel.
Reporting of insight trends using statistical rigor to a larger team with simplified dashboards and stories.
Develop ETL and SQL queries to fetch transaction/management level information and develop continuous reports and metrics to support business operation.

TableauQuickSightSQLExcelData AnalysisRisk Analytics

Oyo

Demand Manager

Apr 2019 – Dec 2019 · 8 mos · Bengaluru Area, India

Analyzed sales forecasts and historical hotel performance data using SQL , Power BI , and SAP BW/4HANA to identify profit/loss patterns across properties.
Conducted service gap analysis by evaluating customer response data through data visualisation tools and implemented actionable steps that improved guest satisfaction.
Designed and executed demand planning strategies leveraging Excel and SQL-based models, ensuring optimal inventory levels and higher occupancy rates.
Collaborated on market research initiatives that identified demand for paying guest properties in Bangalore; contributed to the marketing campaign launch of OYO Homes in the region, driving adoption in a new market.

SQLPower BISAP BW/4HANAExcelDemand PlanningData Analysis

Tata aig general insurance company limited

Management Intern

Jul 2018 – Apr 2019 · 9 mos

Reviewed market data and internal sales/feedback data using Excel and SQL queries to identify product demand and market needs.
Conducted regular analysis of channel partner sales data with Tableau dashboards and Excel models to detect performance gaps and recommend targeted improvements.
Supported sales growth by providing data-driven insights to channel partners, contributing to the achievement of sales targets.

ExcelSQLTableauMarket AnalysisSales Analysis