Forge Logo

Forge

Senior Data Analyst

Posted Yesterday
Be an Early Applicant
Easy Apply
Hybrid
New York, NY, USA
98K-100K Annually
Senior level
Easy Apply
Hybrid
New York, NY, USA
98K-100K Annually
Senior level
Senior Data Analyst partners with Product, Marketing, Finance, and leadership to deliver data-driven insights. Responsibilities include SQL/Python analysis, predictive modeling, forecasting, automating reporting, building dashboards and datasets in Snowflake/Looker, running A/B tests in LaunchDarkly, and communicating findings to influence product and company strategy.
The summary above was generated by AI

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.

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.

Qualifications:  

  • 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.
  • Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication

For residents of New York, New York the annual salary range for this role is $98,000 - $100,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

Upon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches as well as fingerprint and drug test. 

Forge is proud to be an equal opportunity employer committed to supporting a diverse and inclusive workplace. Our employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, veteran status, or any other characteristic protected by federal, state, or local laws.

 

Forge New York, New York, USA Office

Forge New York Office Office

Our NYC office is situated in the vibrant SoHo neighborhood, surrounded by trendy cafes, boutiques and galleries.

Similar Jobs at Forge

6 Days Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
209K-240K Annually
Senior level
209K-240K Annually
Senior level
Fintech • Financial Services
The Senior Software Engineer will design and maintain web applications, mentor junior engineers, and lead technical solutions in a team-oriented environment.
Top Skills: .NetC#Ci/CdKafkaMartenRabbitMQSQL
6 Days Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
169K-205K Annually
Senior level
169K-205K Annually
Senior level
Fintech • Financial Services
The Senior Technical Product Manager focuses on owning and evolving platform APIs, defining requirements, tracking metrics, and enabling stakeholders while ensuring product alignment with company strategy.
Top Skills: APIsCurlPostman
6 Days Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
169K-200K Annually
Senior level
169K-200K Annually
Senior level
Fintech • Financial Services
The Staff Quality Engineer II will own quality for complex trading systems, develop test strategies, automate tests, mentor engineers, and enhance testing frameworks.
Top Skills: CypressK6Node.jsPlaywrightSeleniumTypescript

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account