Alex Paluch

Senior Business Analyst leading revenue analytics, forecasting, and data engineering at Cloud Imperium Games, a ~700-person AAA game studio. Builds linear regression-based forecasting models in Python, designs fact and dimension tables in dbt, and orchestrates pipelines through Airflow across BigQuery, Redshift, and Trino. Engineering background (dual B.S., University at Buffalo).

Senior Business Analyst at Cloud Imperium Games (2026-04 – Present)

Promoted from Business Analyst (02/2024 – 04/2026) and Associate Business Analyst (12/2022 – 02/2024). AAA game developer (Star Citizen, Squadron 42), ~700 employees across the US, Germany, and the UK.

• Lead the analytics department for revenue and BI: own department priorities, set the modeling approach, allocate team workload, and review all final deliverables before they reach stakeholders.
• Manage one direct report on independent modeling projects worth weeks of scope; assign work, direct technical approach, and sign off on final output before it reaches the business.
• Own quarterly revenue forecasting end-to-end, building linear regression-based models in Python that improved forecast accuracy by approximately 20% over the prior process.
• Lead the migration of 12 production forecasting and analytics models from Excel to R and Python, rebuilding modeling logic and the user-facing interface from scratch; 2 models delivered to date, with ML-based methods planned for upcoming phases.
• Lead Cloud Imperium's Redshift to BigQuery migration; personally rebuilt 17+ revenue, subscriber, customer journey, promotional, and email marketing data sources (including ~7 legacy manual tables) and reviewed an additional 7 migrations led by partner teams, keeping 25+ downstream Tableau dashboards live throughout the cutover.
• Built a Customer Journey dataset in BigQuery combining revenue, web/product (GCP), and gameplay data (BigQuery tables and lakes), orchestrated by Airflow and dbt; the dataset tripled the number of customer-health dashboards available to the business.
• Designed an Account Filter visualization in Tableau pulling from Redshift, BigQuery, Trino, and dbt that surfaced churn patterns previously invisible to the business.
• Designed fact and dimension tables in dbt to serve as the team's Single Source of Truth; implemented dbt tests (uniqueness, null, type, referential) to catch issues before they reached production, all aligned with legal and compliance requirements.
• Designed and analyzed A/B tests with pre-registered hypotheses and target metrics; ran ongoing statistical analysis to flag business risk and data anomalies before they reached reporting.

Grassroots-Data Liaison at Murphy-Nasica and Associates (2021-08 – 2022-12)

One of Texas' premier PR and political consulting firms, representing clients at the municipal, state, and federal levels.

• Maintained and cleaned data for over a dozen dashboards serving political party and advocacy group clients using Sisense and MySQL.
• Collated and presented race-level analysis drawn from over 100 statewide canvassers, supporting a 90% win rate across client campaigns.
• Received and cleaned data requests from private, state, and local electoral agencies, delivering cleaned results on the day they were reported.

Specialization in Data Science – Johns Hopkins University (2025-12)

Bachelor of Science in Aerospace Engineering – University at Buffalo (2017-05)

Bachelor of Science in Mechanical Engineering – University at Buffalo (2017-05)