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Agata Gorski

@agatagorski

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Product Analyst using SQL & Python to drive experimentation, funnel optimization, and product decision

Spain

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What I'm looking for

Senior Product/Data Analyst using SQL and Python to drive product insights, experimentation, and data validation. Partnering with product and design to improve retention, engagement, and overall product performance.

I’m a Product Analyst with 8+ years of experience across product analytics, ad-tech, and technical engineering at Scopely and Criteo. I partner closely with product, design, and leadership teams to turn player behavior and pre-launch performance into decisions that stick.

At Scopely, I led analytical readouts for pre-launch player tests, presenting findings to VP-level stakeholders and guiding feature adjustments around campaign retention and player progression. I defined the pre-launch KPI framework across engagement, retention, progression, and economy, and I validate data accuracy by tracing metrics back to raw events to resolve issues across BigQuery pipelines and dashboards.

I also build systems that speed up insight and execution—like an ML model to predict high-value players from first-week behavior and a ChatGPT integration for Confluence and BigQuery that enables natural language search for documentation and data queries. Earlier at Criteo, I delivered automated revenue opportunity detection, competitive benchmarking, and KPI-based behavioral audience segmentation to improve targeting and commercial outcomes.

Experience

Work history, roles, and key accomplishments

Current

Product Analyst

Current

Scopely

Dec 2023 - Present (2 years 4 months)

Led pre-launch player-test analytical readouts to VP-level stakeholders, identifying drivers of retention and progression and recommending feature/campaign adjustments. Built a first-week behavior ML model to predict high-value players (1M+ users) and enabled natural-language querying of Confluence docs and BigQuery via a ChatGPT integration.

SQL Python BigQuery Looker Product Analytics Machine Learning A B Testing

Data Analyst

Criteo

Jan 2022 - Dec 2023 (1 year 11 months)

Built an automated revenue opportunity detection system to flag paused acquisition campaigns and generate client-specific pitch decks, enabling data-backed re-engagement. Created competitive benchmarking and KPI-based behavioral audience segments, and diagnosed tool adoption gaps (81% of campaigns not leveraging key insights).

SQL BigQuery Tableau Looker Revenue Analytics Competitive Benchmarking Segmentation KPI Design Dashboards Data Validation

Technical Solutions Engineer

Criteo

Jan 2017 - Jan 2022 (5 years)

Supported advertiser onboarding and tracking integrations, running A/B tests and troubleshooting configuration and cross-platform reporting discrepancies. Monitored core campaign KPIs (conversion rate, ROAS, sales volume) and proactively flagged anomalies for rapid response.

SQL A B Testing ROAS Anomaly Detection