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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

Bengaluru

8+ years of work experience

Fractal
Mar 20241 yr 9 mosNov 2025

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.
Mu Sigma Inc.
Aug 20237 mosFeb 2024

–      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
Mu Sigma Inc.
Sep 20221 yrAug 2023

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.
The Sparks Foundation
Jul 20222 mosAug 2022

Online

RGBSI
Jun 20211 yr 1 moJun 2022

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.
RGBSI
Nov 20182 yrs 8 mosJun 2021

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.
Self Employed
Jun 20162 yrs 3 mosAug 2018

Bangalore Urban, Karnataka, India

Kumar’s AI Stack

antigravity
antigravity
cursor
cursor

Education

Ramaiah Institute Of Technology

Bachelor of Engineering

Ramaiah Institute Of Technology

20153 yrs2018

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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

Kumar Madush - Tableau consultant in Bengaluru | Tal