Jitu Moni Das

Business Development Executive

Bengaluru, Karnataka, India9 yrs 9 mos experience

Highly Stable

Key Highlights

Expert in transforming data into actionable insights.
Proficient in SQL and data visualization tools.
Drove significant revenue growth through data-driven strategies.

Stackforce AI infers this person is a data-driven Business Analyst with expertise in SaaS analytics and performance optimization.

Contact

Skills

Core Skills

Data AnalyticsBusiness Analysis

Other Skills

SQLTableauLookerPythonGoogle Big QueryPrestoJIRAPardotExtract, Transform, Load (ETL)Agile MethodologiesData EngineeringMachine LearningAdvanced ExcelAnalytical SkillsPerformance Dashboards

About

Senior Business Analyst with 8 years of experience in transforming data into actionable insights. Proficient in SQL, maintaining data pipelines and skilled in visualization tools such as Power BI, Tableau, and Looker. Expert in leveraging data to drive strategic initiatives and optimize business performance. Adept at defining and analyzing KPIs to support data-driven decision-making.

Experience

9 yrs 9 mos

Total Experience

6 yrs 5 mos

Average Tenure

3 yrs 4 mos

Current Experience

Walmart

Senior Business Analyst

Dec 2022 – Present · 3 yrs 4 mos · Bengaluru, Karnataka, India · On-site

Designed and deployed 10+ dynamic dashboards in Tableau and Looker to monitor KPIs for Business Development and Account Management teams, improving visibility and decision-making across orgs.
Drove the development of Weekly and Monthly Business Review decks for executive leadership, delivering strategic insights into seller performance, revenue trends, and operational efficiency.
Built and maintained India-specific data tables in Google Big Query and Presto, transforming upstream sources to support fast and reliable regional reporting.
Streamlined analytics support through a JIRA intake process, including the creation of epics and user stories for recurring data needs and projects. Collaborated with stakeholders to scope, prioritize, and deliver timely solutions.
Automated routine SQL queries in Presto using Python, scheduling jobs to support recurring reporting workflows and reducing manual effort by ~20.
Developed a Monthly Scorecard for the Account managers with scoring on Key Metrics to improve the efficiency.
Partnered with Directors, Senior Product Managers, etc. to deliver scalable analytics solutions supporting cross-functional initiatives.
Developed a reusable dashboard in Looker and Tableau for daily analysis of KPI Metrics, saving 10+ hours per cycle for category managers.
Created a seller performance scoring model to track onboarding efficiency and quality of launches for the BD Team. This lead to improve seller launch quality by 10%.
Made a WFS inventory forecast model showing key metrics that helped reducing Out of Stock percentage from 25% to 14% during peak seasons.
Created a WFS Conversion Dashboard that gives an estimate uptick in Sales if the items gets converted to WFS. Conversion to WFS stands at 3%.
Examined product categories thoroughly to spot new trends and Opportunities which helped to bridges the white spaces in categories like Women's Apparel, Luggage, etc. giving additional $5K-$8K in daily Sales.

SQLTableauLookerPythonGoogle Big QueryPresto+3

Amazon

Program Manager

Jul 2016 – Dec 2022 · 6 yrs 5 mos · Bengaluru, Karnataka, India · On-site

Developed a dashboard for the Growth Recommendations Project which gives personalized recommendation and insights on key seller metrics which was then send over email via Pardot, generating additional OPS of $1M-$2M in 2022 and was projected to go over $3M in 2023.
Created an inventory recommendation dashboard for the Softlines Team to reduce the Out of Stock % which improved the In Stock % from 81% to 88%.
Developed MFN to FBA recommendation dashboard that assigns Priority to a SKU and estimated increase in Sales if got converted. ~$100K Yearly sales was generated from these converted SKUs from 2020-2022 with conversion standing at 4%-5%.
Analyzed the impact of deals during big events and found out key trends which helped in increasing deal adoption to 70%( vs 30% in BAU) in Main Events like Prime Day, Mid Year Sale, BFCM, etc.
Conducted Jewelry Category whitespace analysis to identify best selling metals and gems combination in both Fashion and Fine Jewelry and brought ~50K+ new selection.
Supported IN Amazon Australia Team by preparing dashboard on top IN2US Sellers and their Status on
Amazon Australia and assigning Priority Score and SKUs insights for that sellers. Team onboarded 50+ Sellers and generated $1MM+ in Sales for the year.
Managed key accounts of the Softlines Team which involved Fashion, Luggage, etc. with a portfolio value of $12MM-$15MM.
Successfully launched 100+ sellers from India to Amazon UK and EU marketplaces, generating ~$5MM yearly sales.