Senior Data Analyst
Senior Data Analyst partnering with Product, Marketing, and Finance to deliver insights, build predictive models, automate reporting, and run experiments that shape marketplace strategy.
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.
Nice-to-Haves / Preferred
- Experience with Segment, Looker, Heap, Launch Darkly, and Snowflake.
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