---
title: "Rohit Kumar - Lead Data Analyst in Bengaluru | Tal"
description: "Meet Rohit Kumar, Lead Data Analyst | SQL, Python, Snowflake & BigQuery | A/B Testing, Cohort & Funnel Analysis, Customer Segmentation | Power BI, Tableau & Metabase | AI-assisted analytics | 9+ yrs | Bengaluru based in Bengaluru. AI stack includes claude code, claude, and github copilot."
image: "https://tal.club/meet/rohit-kumar-54/share-image"
---

# Rohit Kumar on Tal

## Headline

Lead Data Analyst \| SQL, Python, Snowflake & BigQuery \| A/B Testing, Cohort & Funnel Analysis, Customer Segmentation \| Power BI, Tableau & Metabase \| AI\-assisted analytics \| 9\+ yrs \| Bengaluru

## About

Most analytics work stops at what changed\. The part I'm good at is why — the root\-cause dig through messy, multi\-source data that tells a Sales or Ops lead what to actually do on Monday\. Nine years of doing that, across SaaS, e\-commerce, B2B marketplaces and IT services\. I write the SQL, build the data model underneath the dashboard, design the test, and then sit in the room where the decision gets made\. The dashboard is the last step, not the first\. What I work on: \- Subscription and product analytics end to end — MRR, churn, LTV, usage\-based billing, revenue tracking and pricing analysis \- Conversion funnels, cohort retention and drop\-off diagnosis, using GA4 and Mixpanel event\-level data \- Root\-cause and diagnostic analysis on large, multi\-source datasets \- A/B testing and experimentation — hypothesis design, metric definition, statistical validation \- Deep SQL on BigQuery and Snowflake: complex CTEs, window functions, cross\-database joins, partitioning tradeoffs \- Data modelling, transformation and validation — the layer a dashboard should sit on, not the other way round \- Power BI, Tableau and Metabase dashboards, plus threshold\-based alerting so people hear about a problem before they go looking for it \- Mentoring analysts on analytical approach, statistical method and QA Some of what came out of it: SQL\-driven analysis at Bijak that contributed to a 20% revenue increase within a month\. Data modelling and validation at R Systems that improved data accuracy 15% and cut manual reporting effort 30%\. Diagnostic analysis at Innovaccer that improved operational efficiency 25%\. Dataset cleaning and modelling at StarQuik \(Tata\) that improved data accuracy 25%\. On AI: I use Claude, ChatGPT and both GitHub and Microsoft 365 Copilot daily — for query generation, anomaly detection and automated data exploration\. It's good at helping me ask a better question\. It is not a substitute for knowing the data, and I don't treat it as one\. Open to Senior Data Analyst, Lead Data Analyst, Product Analyst and Analytics Manager roles — Bengaluru, Delhi NCR or Hyderabad, on\-site, hybrid or remote\. 30\-day notice\. Happy to talk through any of it\. Message me here\.

## Location

Bengaluru

## AI stack

claude code

claude

github copilot

ChatGPT

## Work experience

Lead Data Analyst at R Systems, Feb 2024 \- Present · 2 yrs 8 mos, Bengaluru, Analytics for Sales, Customer Success and Operations at an IT services business — owning the data model, the analysis and the dashboard on top of it, and mentoring the analysts alongside me\. What I do: \- Run exploratory and statistical analysis on large, multi\-source datasets in SQL and Python, identifying the root causes behind pipeline and performance trends for Sales and Customer Success\. \- Own churn analysis and retention reporting, diagnosing where and why accounts lapse and quantifying the revenue impact\. \- Run pricing analysis to quantify how pricing changes affect conversion and revenue\. \- Analyse GA4 event\-level data and design customer segmentation models to locate friction points in the user journey and prioritise high\-value cohorts\. \- Write optimised SQL against Snowflake using complex CTEs, window functions and cross\-database joins, weighing partitioning tradeoffs for query cost and runtime\. \- Build experimentation frameworks for A/B tests — hypothesis design, metric definition and statistical validation before anything reaches leadership\. \- Use AI assistants \(Claude, ChatGPT, GitHub Copilot, Microsoft 365 Copilot\) for AI\-driven query generation and anomaly detection, automating data exploration and shortening time to first insight\. \- Own data modelling, transformation and validation for recurring analytical workflows, improving data accuracy by 15% and decision\-making efficiency by 20%\. \- Build Power BI and Tableau dashboards on validated data models and configure threshold\-based alerts in Power BI, so leadership sees business\-critical KPIs and hears when one moves out of range\. \- Automate recurring reporting workflows, reducing manual effort by 30% across Sales, Customer Success and Operations\. Tools & methods: SQL, Python, Snowflake, GA4, Power BI, Tableau, Excel, Jira, Claude, ChatGPT, GitHub Copilot, Microsoft 365 Copilot, churn analysis, pricing analysis, A/B testing, customer segmentation, data modelling, Agile delivery

Business Operations Analyst at Innovaccer, Jun 2022 \- Oct 2023 · 1 yr 5 mos, Noida, Operations and subscription analytics across multiple source systems — building the consolidated layer the business reported off, and the recurring\-revenue view it had been missing\. What I did: \- Built and maintained subscription metrics reporting — MRR, usage\-based billing and revenue tracking — giving the business a single trusted view of recurring revenue\. \- Wrote complex SQL using CTEs, window functions and multi\-table joins across multiple source systems, consolidating operational and customer data into a single, trusted analytical layer\. \- Analysed product usage in Mixpanel to connect user behaviour to billing and account outcomes\. \- Conducted statistical and diagnostic analysis to identify process inefficiencies, recommending changes that increased operational efficiency by 25%\. \- Delivered BI dashboards and automated data pipelines monitoring KPIs and business growth, reducing manual reporting effort by 35%\. \- Provided ad\-hoc analysis in an environment of evolving schemas, pipeline delays and incomplete data\. Tools & methods: SQL, Mixpanel, Power BI, Excel, MRR and subscription reporting, usage\-based billing, data pipelines, window functions, diagnostic analysis

Business Analyst \- Growth Strategy at Bijak, Mar 2021 \- May 2022 · 1 yr 3 mos, Gurugram, Growth analytics for a B2B agri\-commerce marketplace — finding why specific customer segments were underperforming, and proving it before anyone acted on it\. What I did: \- Used SQL and exploratory analysis on BigQuery to identify the root drivers of underperformance in specific customer segments, generating insights that contributed to a 20% revenue increase within one month\. \- Built churn and LTV models across customer segments, quantifying which cohorts were worth retaining and which were not\. \- Ran pricing analysis to test how pricing changes affected conversion and repeat activity\. \- Formed and tested hypotheses on those drivers, iterating on the analysis as new data came in rather than defending the first answer\. \- Translated complex, multi\-source datasets into insights and presentations for Sales, Product and Operations stakeholders\. Tools & methods: SQL, BigQuery, churn and LTV modelling, pricing analysis, hypothesis testing, customer segmentation, stakeholder presentations

Business Analyst at StarQuik, a TATA Enterprise, May 2019 \- Feb 2021 · 1 yr 10 mos, Gurugram, E\-commerce analytics for Tata's online grocery business — customer behaviour, the conversion funnel, and the data quality work underneath both\. What I did: \- Built cohort views of customer purchase behaviour to identify drop\-off points in the conversion funnel and quantify the impact of operational changes\. \- Analysed churn and customer LTV across cohorts to identify which acquisition sources produced lasting customers\. \- Ran pricing analysis on promotions and pricing changes to measure the effect on conversion and order value\. \- Designed and analysed A/B tests on user behaviour, improving user engagement by 10%\. \- Cleaned, validated and modelled large operational and customer datasets, improving data accuracy by 25%\. Tools & methods: SQL, Excel, A/B testing, cohort analysis, conversion funnel analysis, churn and LTV analysis, pricing analysis, data cleansing, data validation

Senior Business Analyst at Collegedunia, Apr 2017 \- Apr 2019 · 2 yrs 1 mo, New Delhi Area, India, Reporting and metric standards across marketing, product and business teams — building the analytics knowledge base those teams ran on, and getting them to agree on what the numbers meant\. What I did: \- Built and maintained the analytics knowledge base — documenting reporting schemas, metric definitions and known data quality issues so marketing and product teams could self\-serve\. \- Designed and implemented MIS reporting systems and analytics reports across marketing, product and business teams, maintaining data quality standards throughout\. \- Supported marketing, product and business stakeholders with the recurring and ad\-hoc reporting they used to track performance\. Tools & methods: SQL, Excel, MIS reporting, analytics knowledge base, data quality management, metric definition, schema documentation

## Education

Bachelor of Technology \(B\.Tech\.\), Information Technology, National Institute of Technology Karnataka

[View the original profile](https://tal.club/meet/rohit-kumar-54)

```json
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Person",
      "@id": "https://tal.club/meet/rohit-kumar-54#person",
      "name": "Rohit Kumar",
      "url": "https://tal.club/meet/rohit-kumar-54",
      "image": "https://tal.club/meet/rohit-kumar-54/profile-photo.jpg",
      "description": "Meet Rohit Kumar, Lead Data Analyst | SQL, Python, Snowflake & BigQuery | A/B Testing, Cohort & Funnel Analysis, Customer Segmentation | Power BI, Tableau & Metabase | AI-assisted analytics | 9+ yrs | Bengaluru based in Bengaluru. AI stack includes claude code, claude, and github copilot.",
      "jobTitle": "Lead Data Analyst",
      "worksFor": {
        "@type": "Organization",
        "name": "R Systems"
      },
      "hasOccupation": {
        "@type": "Occupation",
        "name": "Lead Data Analyst"
      },
      "homeLocation": {
        "@type": "Place",
        "name": "Bengaluru"
      },
      "alumniOf": [
        {
          "@type": "EducationalOrganization",
          "name": "National Institute of Technology Karnataka"
        }
      ],
      "knowsAbout": [
        "claude code",
        "claude",
        "github copilot",
        "ChatGPT"
      ],
      "mainEntityOfPage": {
        "@id": "https://tal.club/meet/rohit-kumar-54#webpage"
      }
    },
    {
      "@type": "ProfilePage",
      "@id": "https://tal.club/meet/rohit-kumar-54#webpage",
      "url": "https://tal.club/meet/rohit-kumar-54",
      "name": "Rohit Kumar on Tal",
      "description": "Meet Rohit Kumar, Lead Data Analyst | SQL, Python, Snowflake & BigQuery | A/B Testing, Cohort & Funnel Analysis, Customer Segmentation | Power BI, Tableau & Metabase | AI-assisted analytics | 9+ yrs | Bengaluru based in Bengaluru. AI stack includes claude code, claude, and github copilot.",
      "dateModified": "2026-09-19T20:57:56.729Z",
      "isPartOf": {
        "@id": "https://tal.club/#website"
      },
      "mainEntity": {
        "@id": "https://tal.club/meet/rohit-kumar-54#person"
      },
      "primaryImageOfPage": {
        "@type": "ImageObject",
        "url": "https://tal.club/meet/rohit-kumar-54/profile-photo.jpg",
        "contentUrl": "https://tal.club/meet/rohit-kumar-54/profile-photo.jpg",
        "caption": "Rohit Kumar profile photo on Tal"
      },
      "inLanguage": "en-IN"
    }
  ]
}
```