---
title: "Manasa B S - Lead Data Analyst - Insights and Analytics in Bengaluru | Tal"
description: "Meet Manasa B S, Lead Analyst | Leveraging Data to Drive Business Growth and Customer Experience | Retail Analytics across Forecasting, Promotions, Marketing & Inventory| Target | Lowes based in Bengaluru. AI stack includes deepseek, llmapi, and lovable."
image: "https://tal.club/meet/manasa-11/share-image"
---

# Manasa B S on Tal

## Headline

Lead Analyst \| Leveraging Data to Drive Business Growth and Customer Experience \| Retail Analytics across Forecasting, Promotions, Marketing & Inventory\| Target \| Lowes

## About

10 years\. Three Fortune 500 retailers\. One consistent outcome — data that moves revenue\. I've built analytics solutions at Neiman Marcus Group, Target, and Lowe's that didn't just sit in dashboards — they changed pricing decisions, cut wasted spend, fixed broken customer identities, and automated workflows that were costing teams significant engineering hours every month\. I work at the intersection of analytics engineering, AI\-driven analytics, and business strategy\. I build the models\. I own the pipelines\. I deploy AI to automate what used to take days\. And I sit in the room to explain what the numbers mean and what to do next\. What I've delivered: → Cut ineffective promo spend by 20% — modelled redemption rates, incremental lift, and vendor ROI using SQL, Python, and AWS SageMaker → Lifted customer identity match rates from 43% to 55% — eliminating \~5M duplicate records and sharpening omnichannel attribution at scale → Drove AI\-powered analytics at NMG — Claude Code and Claude API for anomaly detection, 11Ants AI for pricing optimisation, ChatGPT for reporting acceleration — cutting cost per insight and freeing analyst capacity → Automated 8\+ loyalty workflows in Airflow — saving 15\+ engineering hours per month → Built Tableau & Power BI dashboards used in weekly leadership reviews — cutting reporting effort by 40% What I bring beyond the data: I've led junior analysts, defined KPI frameworks with C\-suite stakeholders, partnered with Product, Merchandising, and Engineering, and translated complex findings into pricing, promotions, and inventory strategy that senior leaders actually acted on\. I bring AI into every layer of that work — from automating repetitive analytics tasks to surfacing predictive insights that change what a business does next\. I don't just run queries\. I don't just build pipelines\. I connect both to business outcomes — and I communicate them in a way that gets decisions made\. I write Advance SQL that scales\. I build models that don't break\. And I communicate findings that actually get acted on\. My stack: Advanced SQL · Snowflake · DBT · Python · Tableau · Power BI · Airflow · AWS · BigQuery · MongoDB · AWS SageMaker · Generative AI Customer churn reduction, Retention, Customer Stastifaction Analysis, Data story telling, Supply Chain analytics Open to: Senior / Lead / Principal Data Analyst · Analytics Engineer roles in Bengaluru Available: Immediate joiner • AI\-Driven & Predictive Analytics • SQL \| Snowflake \| Python \| DBT \| Tableau • Stakeholder Management & Team Mentorship

## Location

Bengaluru

## AI stack

deepseek

llmapi

lovable

opencode

## Work experience

Lead Data Analyst \- Insights and Analytics at Neiman Marcus Group, Mar 2023 \- Present · 3 yrs 4 mos, India, • Reduced ineffective promotional spend by 20% and improved campaign ROI by 15% — using SQL, Python, and 11Ants Agentic AI to model redemption rates, incremental lift, and vendor ROI across NMG's full promotional budget\. • Engineered identity\-graph pipelines \(Advanced SQL \+ DBT\) that lifted user match rates from 43% to 55%, eliminated \~5M duplicate records, and materially improved omnichannel attribution accuracy\. • Automated 8\+ loyalty\-program data workflows in Airflow, saving 15\+ engineering hours per month and removing manual error\-prone handoffs between teams\. • Architected Tableau and Power BI \(DAX, KPI scorecards\) executive dashboards adopted for weekly leadership reviews, cutting cross\-functional reporting effort by 40%\. • Built and maintained DBT models in Snowflake with full lineage, testing, and PII masking — reduced data quality incidents by 65% over 12 months\. • Partnered with Product, Engineering, and Merchandising to define KPIs, validate data models, and translate findings into pricing and inventory strategy — reducing decision\-cycle time for senior stakeholders\. Snowflake DBT Advanced SQL Python Tableau Power BI Airflow Retail analytics Pricing analytics

Data Analyst at Target, Feb 2020 \- Mar 2023 · 3 yrs 2 mos, India, • Owned end\-to\-end analytics for Target's wedding registry product: analysed pre/post\-event guest purchase behaviour and loyalty engagement to surface insights that directly shaped digital team decisions\. • Built omnichannel demographic dashboards \(Store, Digital, Omni lens\) providing leadership a single view of customer segments across all purchase touchpoints\. • Delivered ongoing campaign metrics for Email, Push, and Direct Mail — tracking open rates, click\-through, and channel effectiveness to guide content and offer strategy\. • Led App vs\. Non\-App discount sensitivity analysis and SHIPT feature behaviour study, providing UX and product teams with data to prioritise roadmap decisions\. • Designed and owned a DOMO product health dashboard from script to automation — full end\-to\-end delivery with zero handoff dependency\. • Ran Acxiom email/phone append confidence\-scoring analysis that set the engineering team's threshold for contact\-mech acceptance, directly improving data quality at ingestion\.

Data Specialist at Ecolab, Jun 2019 \- Feb 2020 · 9 mos, Partnered with Product, Engineering, and Business leadership to define KPIs, validate data models, and align analytics solutions to pricing, promotions, and inventory strategy\.

Data Quality Analyst at Lowe's Companies, Inc\., Nov 2017 \- Jul 2019 · 1 yr 9 mos, Bangalore, • Analysed retail customer data to surface quality issues across data pipelines and reporting systems — acting as the bridge between engineering and business stakeholders\. • Contributed to data migration projects, validating data integrity and ensuring business\-critical records were accurately transformed and loaded\. • Established monitoring processes for data accuracy and completeness, building early skills in data governance that underpin the work I do today at scale\.

Quality Specialist at SLK SOFTWARE SERVICES PRIVATE LIMITED, Jun 2015 \- Nov 2017 · 2 yrs 6 mos, ETL & Database Testing: Quality Analyst specialising in end\-to\-end ETL testing, database validation, and data transformation across OLTP, OLAP, and data warehouse environments using SQL, gremlin queries and Teradata\. Data Quality & Tools: Experienced in data validation, report testing, and MDM/CDM/ERP testing with proficiency in Informatica, Tableau, Power BI, Jira, QC, and Swagger\. SQL & Validation: Designs and implements complex SQL queries to validate ETL pipelines and transformation logic across enterprise data systems ensuring data accuracy and integrity at scale\.

## Education

sri siddartha institute of technology

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