Senior Data Analyst

Forge Global•New York, NY

12d•$98,000 - $100,000

About The Position

At Forge, we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to artificial intelligence, and more. With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge’s goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth. Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect. Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way. The Role: We are looking to hire a Senior Data Analyst to join our Analytics team. In this role, you will partner with stakeholders across Product, Marketing, Finance, and Senior Leadership to deliver data-driven insights that influence strategy and decision-making across Forge. You will design and execute experiments, build new datasets, automate reporting, develop predictive analytics and attribution models — ultimately shaping how we measure, understand, and grow our marketplace. This is a high-impact individual contributor role, ideal for someone who thrives at the intersection of analytics, product strategy, and organizational impact.

Requirements

4+ years of experience in analytics, product analytics, data science or a related field.
Expert-level SQL (advanced queries, optimization, and performance tuning).
Proficient in Python (2+ years) for data analysis, automation, visualization, and forecasting/modeling.
Hands-on experience with BI and data visualization tools, ideally Looker or Tableau, and data warehouses such as Snowflake.
Strong foundation in experimental design and A/B testing methodology, preferably with experience in Launch Darkly and Heap.
Demonstrated ability to develop predictive models and apply statistical analysis in a business context.
Excellent analytical and problem-solving skills, with the ability to structure ambiguous problems and translate business questions into technical analyses.
Strong communication and storytelling skills — able to present complex insights in a clear, actionable way to both technical and non-technical audiences.
Track record of working cross-functionally and managing multiple stakeholders and priorities.
Undergraduate degree in finance, economics, statistics, mathematics, engineering or related field.
operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication

Responsibilities

Shape business strategy by using SQL, Python, and other analytics tools to analyze data, highlight opportunities, and provide insights that directly inform product and company direction.
Develop predictive models and forecasting tools using Python to support growth, product efficiency, and marketplace strategy leveraging internal user data and external GTM data sources.
Build decision-making tools by designing, maintaining, and automating datasets, dashboards, and reporting infrastructure in Snowflake, Segment, Looker, and Heap to deliver clear insights that support long-term growth strategies.
Automate recurring reporting and analytics processes using Python.
Communicate findings through clear narratives, visualizations, and presentations to senior stakeholders.
Improve our data infrastructure by identifying opportunities to enhance data quality, consistency, and documentation, enabling scalable, accurate, and reliable analytics across Forge.
Design and analyze A/B tests and other experiments in Launch Darkly to guide product development and measure impact.