Open to opportunities

Gunjan Yadav

@gunjanyadav1

I’m a Data Analyst who improves conversions and revenue through SQL, Power BI, funnel/cohort analytics, and KPI-driven decisions.

India

Message

What I'm looking for

I want to grow in data analysis roles where I can use SQL, Power BI, funnel/cohort insights, and experiments to improve conversion, retention, and revenue—by partnering closely with product and marketing to turn metrics into action.

I’m a Data Analyst with 2+ years of experience driving conversion and retention through data-driven insights. At Leverage Edu, I own and analyze key KPIs across the admissions pipeline, including conversion rate, ARPU, and funnel progression, and I use funnel drop-off analysis and cohort modeling to surface growth opportunities.

I build CXO-level Power BI dashboards for real-time visibility into revenue and pipeline health, while also exploring Tableau when visualization needs arise. I partner with product, marketing, and leadership to define success metrics, support campaign prioritization, and deliver experimentation insights using A/B and pre/post frameworks—backed by automated ETL workflows using SQL and Python.

Experience

Work history, roles, and key accomplishments

Current

Senior Associate Data Analyst

Current

Leverage Edu

Feb 2026 - Present (6 months)

Owned growth and revenue analytics across the admissions pipeline, tracking conversion performance and funnel progression. Built Power BI dashboards for CXO-level visibility and conducted cohort, drop-off, and segmentation analyses to drive KPI and data-backed decisions.

Power BI DAX Tableau SQL Funnel Analysis Cohort Analysis Segmentation KPI Tracking Conversion Rate Optimization Drop Off Analysis Campaign Analytics Revenue Optimization ARPU

Associate Data Analyst

Leverage Edu

Mar 2024 - Jan 2026 (1 year 10 months)

Performed large-scale SQL analytics using BigQuery to generate business insights and build dashboards for channel performance and pipeline movement. Conducted funnel/cohort analysis, designed experiments (A/B and pre/post), and automated ETL workflows using SQL and Python to improve data accuracy and impact growth outcomes.

BigQuery SQL Power BI Funnel Analysis Cohort Analysis KPI Tracking A B Testing Pre Post Framework ETL Python Dashboarding ROI CPL Conversion Tracking

Customer Service Executive

Gobbly

Oct 2023 - Feb 2024 (4 months)

Analyzed customer behavior to identify churn drivers and engagement drop-offs. Segmented users to support targeted engagement and retention strategies.

Segmentation Engagement and Drop Off Analysis Retention Strategy