Thomas Mahler

Data Analyst — finance analytics, pricing, forecasting, and dashboards. Side projects under Tavern Analytics.

mahlerth@proton.me

About

I partner with finance and operations teams on variance analysis, pricing strategy, forecasting, and interactive reporting — moving teams from static spreadsheets to automated Tableau, Looker, and SQL-backed insights. Outside of work I ship small, focused web apps under Tavern Analytics.

Experience

Senior Data Analyst, Finance · New Relic Inc.

February 2026 – Present · Portland, Oregon

  • Serve as key data partner to finance leadership, acting as primary point of contact for ad-hoc analysis requests and providing analytical insights that drive financial decision-making
  • Conduct complex variance analysis on large financial datasets to identify underlying drivers of business performance, supporting long-range planning and scenario analysis
  • Design and build Tableau dashboards for financial reporting, moving finance from static Excel sheets to automated, interactive solutions that provide real-time visibility into business metrics
  • Write complex SQL queries to extract and synthesize data from multiple systems including ERP, CRM, and data warehouse, delivering rapid insights to senior leadership
  • Partner with FPA, Accounting, and Finance Operations teams to improve data accuracy, enhance month-end close efficiency, and ensure data integrity across financial reporting

Operations and Data Analyst, BizOps · HubSpot Inc.

March 2025 – November 2025 · Cambridge, Massachusetts (Remote)

  • Analyzed pricing strategies and discount structures to optimize revenue, providing recommendations on discount rates and pricing models that influenced product positioning and business decisions
  • Built forecasting models and predictive analytics for financial planning, presenting key findings and analysis to stakeholders and C-suite executives that supported project proposals and strategic decisions
  • Created Looker dashboards and reports by gathering requirements from cross-functional teams, translating complex data into clear insights that tracked business performance and revenue metrics
  • Used Python and SQL in Hex notebooks to manipulate and analyze large complex datasets, performing data validation and cleaning to present insights to stakeholders in a clear, manageable way

Data Analyst · Trend Capital Holdings, Inc.

2022 – 2025 · Vancouver, Washington

  • Analyzed revenue share models and pricing structures across customer segments, tracking conversion rates and performance metrics to inform pricing and product decisions
  • Created dashboards in Tableau and Power BI tracking user behavior, conversion rates, and revenue metrics across customer segments, helping product teams and lenders optimize pricing and performance
  • Designed and analyzed A/B tests and experiments for marketing domains to improve clickthrough rates, using statistical methods to measure significance and drive product decisions that increased user engagement
  • Built data quality controls and validation processes handling 250k daily transactions, implementing automated monitoring with Python and SQL that reduced outage resolution time by 80%
  • Developed ETL pipelines and automated reporting systems using Python, Zapier, and SQL to track feedback between lead quality and loan performance

Selected work

Concert Tracker

music · data · astro · concerts.tavernanalytics.bar

Personal concert history with stats, setlists, venues, and artist pages — scrubbed public data only.

Night Stat

sports · stats · web · nightstat.com

Fan site grading Nightcap hosts’ on-air picks — nightstat.com.

Skills

BI & Visualization

TableauPower BILookerExcel

SQL & Databases

SQLPostgreSQLMySQLSnowflakeClickHouseMongoDBCassandraDB

Programming

PythonPandasNumPyMatplotlibSeabornJavaC/C++JavaScriptHTML/CSS

Data Engineering

Apache AirflowApache SparkETL pipelinesData modelingWorkflow automation

Analysis & ML

Pricing analysisRevenue modelingStatistical modelingForecastingRegressionTime seriesScikit-learnData validation

Education

Master of Science, Computer Science · Georgia Institute of Technology

Expected graduation: Spring 2027 · Online · Specialization: Machine Learning

Bachelor of Science, Computer Science · Oregon State University

Concentration: Applied Computer Science

Links