I am Harsh Jaiswal, a data-driven Business Data Analyst with 3+ years of experience analyzing multi-source SaaS and customer performance data to optimize revenue growth, retention, and acquisition efficiency. I am proficient in SQL, Python, and BI tools, building scalable dashboards and models that improved LTV forecasts and reduced churn. I translate complex financial data into insights that drive strategic decisions across marketing, product, and finance teams. I enjoy collaborating with cross-functional teams, conducting A/B tests, and automating reporting to increase efficiency. I thrive on turning numbers into actions that accelerate growth and profitability.

Harsh Jaiswal

I am Harsh Jaiswal, a data-driven Business Data Analyst with 3+ years of experience analyzing multi-source SaaS and customer performance data to optimize revenue growth, retention, and acquisition efficiency. I am proficient in SQL, Python, and BI tools, building scalable dashboards and models that improved LTV forecasts and reduced churn. I translate complex financial data into insights that drive strategic decisions across marketing, product, and finance teams. I enjoy collaborating with cross-functional teams, conducting A/B tests, and automating reporting to increase efficiency. I thrive on turning numbers into actions that accelerate growth and profitability.

Available to hire

I am Harsh Jaiswal, a data-driven Business Data Analyst with 3+ years of experience analyzing multi-source SaaS and customer performance data to optimize revenue growth, retention, and acquisition efficiency. I am proficient in SQL, Python, and BI tools, building scalable dashboards and models that improved LTV forecasts and reduced churn. I translate complex financial data into insights that drive strategic decisions across marketing, product, and finance teams.

I enjoy collaborating with cross-functional teams, conducting A/B tests, and automating reporting to increase efficiency. I thrive on turning numbers into actions that accelerate growth and profitability.

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Language

English
Fluent
Hindi
Fluent
French
Beginner

Work Experience

Data Analyst at Ayomi.Fr - AI-powered Fintech Fundraising Platform
July 1, 2025 - November 4, 2025
Engineered a Looker-based sales pipeline that automated lead tracking and identified channel inefficiencies, increasing MQL-to-SQL conversion rate by 18% and reducing weekly reporting time by 12 hours. Designed and analysed 20+ A/B tests with PM and Growth teams using Python and SQL, optimising subject line/timing to boost activation by 3% and CTR by 5%, generating +18% higher lead qualification rates. Built a Python script to eliminate bot traffic in email analytics (user-agent/IP heuristics + rate-limit rules), restoring human-only metrics and enabling optimisations that lifted open rate +7% and landing-page conversions +7%. Presented insights that guided sales prioritisation strategy.
Data Analyst (Acquisition and Retention) at Singulart - Global Online Art Marketplace with SAAS Optimisation
March 1, 2025 - March 1, 2025
Built cohort dashboards tracking LTV: CAC, cutting inefficient spend by 12% and improving ROI forecast accuracy +15%. Analysed 150K+ user sessions to identify funnel drop-offs; insights adopted into roadmap reduced churn by 8% QoQ and improved monthly revenue predictability by 15%. Partnered with executive leadership to reduce churn by building retention dashboards that drove quarterly revenue planning. Delivered data narratives that influenced marketplace strategy and user acquisition roadmaps.
Data Analyst and Marketing Consultant (In-company Project) at Sisyphus Training - Boutique fitness studio
May 1, 2024 - May 1, 2024
Cleaned and analysed CRM datasets to uncover user behaviour patterns, increasing retention by 15% via targeted re-engagement flows. Built real-time dashboards in Power BI (retention, conversion, pipeline) , used in monthly board meetings to accelerate decision-making.
Data Analyst (Client: SC Johnson) at HCL Technologies - Noida, India
February 1, 2023 - February 1, 2023
Built automated multi-region performance dashboards (SQL, Power BI) for procurement/logistics, uncovering inefficiencies that saved $0.5M annually and cut SLA breaches by 18%. Created forecasting models used by brand/category leads to shape market-entry strategies across 3 continents.

Education

Master of Science in Digital Marketing & Data Science at Emlyon Business School
September 1, 2023 - June 1, 2025
Bachelor of Science in Computer Science & Engineering at Satyabhama Institute of Science and Technology
May 1, 2016 - July 1, 2020

Qualifications

SQL Associate
January 11, 2030 - November 4, 2025
Associate Data Analyst
January 11, 2030 - November 4, 2025
Visual Analytics with Tableau
January 11, 2030 - November 4, 2025
dbt Fundamentals
January 11, 2030 - November 4, 2025

Industry Experience

Software & Internet, Financial Services, Media & Entertainment, Professional Services