---
title: "Kumar Madush - Tableau consultant in Bengaluru | Tal"
description: "Meet Kumar Madush, Senior Business Intelligence Analyst | Senior Data Analyst | Senior Data Visualization · Tableau · Power BI · Snowflake | Mu Sigma · Fractal | Nike · LinkedIn · DLG | Turning raw data into executive decisions based in Bengaluru. AI stack includes antigravity and cursor."
image: "https://tal.club/meet/kumar-madush/share-image"
---

# Kumar Madush on Tal

## Headline

Senior Business Intelligence Analyst \| Senior Data Analyst \| Senior Data Visualization · Tableau · Power BI · Snowflake \| Mu Sigma · Fractal \| Nike · LinkedIn · DLG \| Turning raw data into executive decisions

## About

I don't just build dashboards — I build the data\-driven systems that turn analytical thinking into executive action\. I'm a Senior Business Intelligence Analyst with 7\+ years of experience, shaped by Mu Sigma and Fractal Analytics, and deployed on global brands including Nike, Converse, LinkedIn, and Direct Line Group \(UK\)\. My edge is storytelling: I work with cross\-functional stakeholders across engineering, product, and commercial teams, translating ambiguous business questions into decisions that actually land in the room\. Results I've driven: – At Nike, a consumer behaviour dashboard I built from scratch — grounded in segmentation and KPI tracking across email and SMS channels — drove a 23% lift in signups\. A marketing mix model I developed gave media planners their first data\-science\-backed framework for Go\-To\-Market budget allocation\. – At Direct Line Group, I led a full Qlik\-to\-Tableau migration across 50\+ interactive dashboards — delivered on time, zero post\-launch rework — and introduced data governance standards and data quality frameworks that the team still runs on\. – At LinkedIn, I cut weekly agency reporting automation time by 40% and reduced credit wastage by 20% through root cause analysis and targeted pipeline fixes\. My stack spans the full analytics layer: data warehouse design in Snowflake, ELT pipelines via dbt, Python \(Pandas, SQL\) for statistical modeling and predictive analysis, and data visualization in Tableau and Power BI\. I track metrics and KPI frameworks that translate operational data into actionable insights for senior leadership\. I also use Git, Excel, and automation scripting to eliminate repetitive work\. Right now I'm building at the intersection of traditional BI and AI\-augmented analytics — using prompt engineering, LLM APIs, and Tableau AI to ship interactive dashboards and conversational analytics tools that compress week\-long workflows to hours\. I'm also applying machine learning concepts to surface early\-warning signals in operational data\. Open to Senior BI / Analytics Engineering roles where the data complexity is real, the stakeholder management is strategic, and the impact is visible\.

## Location

Bengaluru

## AI stack

antigravity

cursor

## Work experience

Tableau consultant at Fractal, Mar 2024 \- Nov 2025 · 1 yr 9 mos, Remote, – Led data governance and data quality standards across a 50\+ dashboard estate, enforcing naming conventions, refresh SLAs, and access controls — delivered the full Qlik\-to\-Tableau migration on time with zero post\-launch rework\. – Built interactive dashboards and automated reporting pipelines using Tableau and Python, reducing manual effort by \~3 hrs/week per dashboard through automation scripting and scheduled extracts\. – Collaborated in an agile delivery model with data engineers, product owners, and commercial stakeholders, owning the analytics layer across two cross\-functional pods and translating business requirements into scalable data visualization solutions\. – Partnered with the Data Engineering team to strengthen the data warehouse foundation — defining schema standards, improving data quality checkpoints, and ensuring metrics were consistently calculated across all reporting surfaces including vendor SLA tracking and third\-party reporting operations\.

Data Scientist \- 3 \| Data analyst at Mu Sigma Inc\., Aug 2023 \- Feb 2024 · 7 mos, – Built a consumer segmentation model for Nike's email and SMS channel using Python and SQL, surfacing actionable insights that drove a 23% lift in signups — the team's first data\-driven signal for Go\-To\-Market channel prioritisation\. – Developed a marketing mix model applying experimental design and regression analysis, giving Nike's media planners their first data science\-backed framework for budget allocation across Go\-To\-Market channels\. – Defined and tracked KPI and metrics frameworks for weekly senior leadership reviews, translating campaign performance data into prioritised strategic recommendations across Nike and Converse\. – Ran root cause analysis on performance drops, reducing time\-to\-insight from 5 days to same\-day for weekly KPI reviews through automation of data extraction and Python\-based reporting pipelines\. \-applying time series analysis to model seasonal budget allocation

Decision scientist \- 2 \| Data Analyst at Mu Sigma Inc\., Sep 2022 \- Aug 2023 · 1 yr, Bengaluru, – Applied analytical thinking and problem\-solving frameworks to complex, ambiguous business questions across Mu Sigma's client portfolio, translating raw data into structured analytical narratives for senior decision\-makers\. – Collaborated in cross\-functional analyst teams using agile sprint methodology, contributing to client\-facing data visualization decks and executive communication materials\. – Built and maintained data pipelines and ETL/ELT workflows to support consistent, high\-quality reporting outputs and data governance compliance across engagements\.

Data Analyst at The Sparks Foundation, Jul 2022 \- Aug 2022 · 2 mos, Online

Data Analyst at RGBSI, Jun 2021 \- Jun 2022 · 1 yr 1 mo, Bangalore Urban, – Served as the analytics collaboration layer between LinkedIn's internal teams and external agencies — managing cross\-functional stakeholder relationships and translating reporting requirements into structured, reusable interactive dashboards\. – Applied analytical thinking and problem\-solving to identify root causes of weekly credit wastage, cutting waste by 20% and reducing reporting turnaround by 40% through targeted data quality fixes and reporting automation\. – Built and maintained KPI dashboards tracking LinkedIn campaign metrics, ensuring data\-driven accuracy and consistency across agency and internal stakeholder views using Tableau, SQL, and Excel\.

Design Analyst at RGBSI, Nov 2018 \- Jun 2021 · 2 yrs 8 mos, Bangalore Urban, – Combined design thinking with early\-stage data analysis to support business reporting and visual communication for internal and client\-facing deliverables\. – Developed structured reporting templates and dashboard mockups, laying the foundation for a transition into full\-stack data analytics\.

Graphic Designer at Self Employed, Jun 2016 \- Aug 2018 · 2 yrs 3 mos, Bangalore Urban, Karnataka, India

## Education

Bachelor of Engineering, Ramaiah Institute Of Technology

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

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