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Gaurav Verma

@gauravverma1

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BI & data analytics leader building ETL/ELT pipelines and dashboards that become trusted decision systems.

India

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What I'm looking for

I’m looking to build decision-first BI and analytics platforms—owning data architecture, governance, and delivery—working closely with C-suite stakeholders, and leading analysts to ship trusted dashboards and forecasting that replace ad hoc reporting.

I build BI architecture and analytics infrastructure that teams actually use, not just dashboards that exist. At British Council, I led enterprise delivery across Power BI and Looker for 500–1,000 global users across 30+ markets, with accountability to CDO and C-suite stakeholders and a team of 7 analysts.

I architect ETL/ELT pipelines from GA4, SAP, CRM, and social APIs through Azure Synapse and DBT, then enforce governance with row-level standards, taxonomy, and a single source of truth. I’ve also delivered forecasting and operational KPI dashboards in partnership with Sales, Finance, Product, and People/Operations, and managed delivery through JIRA.

Experience

Work history, roles, and key accomplishments

Current

Business Intelligence Manager

Current

British Council

Jan 2021 - Present (5 years 6 months)

Led BI architecture and team of 7 analysts for enterprise platforms serving 500–1,000 global users across 30+ markets. Architected ETL/ELT pipelines and established a single source of truth, reducing ad hoc reporting and improving data accuracy.

SQL Power BI Looker Azure Synapse DBT Jira Data Governance ETL ELT Power Automate

Partner Consultant – Analytics & BI

Aadrinya Industries

Jan 2019 - Jan 2021 (2 years)

Built B2B sales pipeline and customer lifecycle analytics, improving retention by 59% and revenue by 15% YoY. Delivered BI solutions using Tableau, Power BI, Looker Studio, and QlikView across client engagements.

Tableau Power BI Looker Qlikview Alteryx Python SQL Revenue Forecasting Segmentation

Senior Business Data Analyst

StepOut Solutions

Jan 2015 - Jan 2019 (4 years)

Eliminated 30+ hours/month of manual data prep by building automated Python and SQL pipelines. Led analytics delivery for manufacturing and insurance clients, improving product engagement by 40%.

Python SQL Power BI Hypothesis Testing Data Pipelines