Senior Data Analyst

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.

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.