Paul A.

Key Skills

Software

Appen

OneForma

Top Subject Matter

Product conversion

churn reduction

pricing optimization

Top Data Types

Text

Audio

Document

Top Task Types

Classification

Data Collection

Freelancer Overview

Data Analyst, Albarkah Analytics (A/B testing, KPI experimentation, diagnostic reporting). Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Tableau, SQL, and Google Sheets. Education includes Master of Science, Bradford University (2025) and Google Data Analytics Professional Certificate, Coursera (2024). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Data Analyst, Albarkah Analytics (A/B testing, KPI experimentation, diagnostic reporting)

Built analytics and experimentation workflows to measure product and churn outcomes using structured A/B testing. Translated business questions into measurable experimental designs and KPI improvements across marketing funnels and product KPIs. • Implemented A/B experiments to improve conversion by 19 basis points and reduce churn by 12 basis points. • Implemented a long-term pricing experiment improving customer value by 25%. • Built operational Tableau reporting to diagnose funnel and conversion improvement areas. • Led delivery of data-driven insights impacting marketing, product, and revenue metrics.

2025 - Present

Data Analyst, Teetop Innovations (modeling, cohort analysis, KPI experimentation)

Classification

Designed statistical models and segmentation-oriented analyses to support SEO and product decision-making using customer and web property data. Produced KPI reporting and cohort insights to identify opportunities for pricing and conversion improvements. • Partnered with executives to formulate and report KPIs from web properties using SQL and Google Sheets. • Built a logistic regression model to select SEO keywords, driving a 15% YoY lift in site visitors. • Conducted cohort analysis to identify a segment for a pricing reduction that boosted yearly revenue by $730K. • Developed root-cause reporting that increased customer conversions by 32%.

2016 - 2025

Product Modeling Analyst, IbTech (retention reporting and predictive modeling)

Data Collection

Developed and owned reporting to support retention and cost prediction programs using customer and operational datasets. Used models and data analysis to identify drivers of profitability and present findings to stakeholders. • Owned reporting for a nationwide retention program using Python, SQL, and Excel. • Analyzed customer data with SQL to improve profitability of the retention program by 8%. • Applied predictive models to estimate and understand repair costs for vehicles and reported results to stakeholders. • Converted analytical outputs into operational insights for program improvement and decision support.

2014 - 2016

Education

Work History