Henry Biko
@henrybiko
Data analyst and analytics engineer who turns complex data into actionable growth insights.
United StatesWhat I'm looking for
I am a Data Analyst and Analytics Engineer experienced at top technology companies, focused on uncovering patterns that drive activation, retention, and revenue growth. I combine strong SQL and Python expertise with visualization tools to translate complex datasets into clear business actions.
At Google, Twin Health, Salesforce, and startups, I designed cohort experiments, automated pipelines, and real-time dashboards that materially improved KPI tracking and campaign ROI. My work has optimized marketing spend, recovered lost revenue, and increased lifetime value for large user bases.
Technically, I build robust ETL and validation pipelines using SQL, Python (Pandas, NumPy, Scikit-learn, PySpark), BigQuery/Snowflake, and cloud tools, and I create actionable dashboards in Tableau, Looker, and Plotly. I also apply A/B testing and statistical methods to validate product and marketing hypotheses.
I bring a pragmatic, cross-functional approach to analytics—documenting analyses for partners, automating reporting to accelerate decision-making, and continuously iterating to improve accuracy, efficiency, and business impact.
Experience
Work history, roles, and key accomplishments
Designed 12-month survival cohort experiments for 500K+ subscribers that optimized $10.8M in marketing spend and increased customer lifetime value by 25%; built Looker dashboards and an automated fraud detection system that recovered $500K+ and improved campaign ROI by 18%.
Data Analyst V
Twin Health
Feb 2024 - Feb 2025 (1 year)
Developed Python-driven data validation pipelines and SQL quality checks reducing customer data errors by 25% and built Tableau dashboards that enabled targeted campaigns driving 20% user growth; ran A/B tests improving conversion by 15%.
Built Tableau dashboards tracking 10+ KPIs and automated SQL pipelines that reduced reporting time by 75%, increasing feature adoption by 12% and reducing churn by 5% through experimentation and funnel analysis.
Analyzed user growth for Gmail, Meet, and Drive using SQL and Python to raise product ratings by 20% and built BigQuery/PLX dashboards and pipelines that improved operational reporting and resource allocation efficiency by 30%.
Built YTMP revenue dashboard and automated SQL pipelines reducing manual analysis time by 80% and achieved 99% data accuracy through advanced cleaning, enabling insights that drove 10% ad revenue growth.
Data Scientist
Raw Cubes
Jun 2021 - Jan 2022 (7 months)
Built SQL-based risk assessment and fraud detection pipelines that enabled real-time product trust monitoring and developed Power BI reporting improving sales forecasting accuracy by 15%.
Product Analyst
Minerva Project
Aug 2018 - May 2021 (2 years 9 months)
Identified common bugs and FAQ content via data groupings to support bot development and training across the Minerva LMS used by 10+ universities and nonprofits, improving support efficiency.
Education
Degrees, certifications, and relevant coursework
Minerva University
Bachelor of Science, Computer Science & Mathematics
2017 - 2021
Completed a Bachelor of Science combining Computer Science and Mathematics with coursework and projects spanning programming, algorithms, and quantitative analysis.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
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