Chainalysis is hiring a

Web3 Product Data Analyst, Finance

The Business Operations & Analytics Team at Chainalysis is looking for a Product Data Analyst to help define and create the next generation of deep dive and performance metrics visibility tools. Our ideal candidate is comfortable in a nascent and fast-paced space with a lot of ambiguity, enjoys translating complex business and product questions into well-defined quantitative problems, and is capable of building scalable analytics solutions to answer these questions. You’ll join the Finance team in our centralized analytics unit and work primarily with the Product Department and other stakeholders across Finance, Engineering & Customer Success to define metrics across all of our products. The analytical tools and reports you build will help us understand the drivers of success metrics and make informed business decisions.

In one year you’ll know you were successful if...

• You are an expert in accessing and analyzing all of Chainalysis’ datasets including blockchain data, product usage data and financial metrics
• You’ve treated our internal data as a product and helped to scale the company’s analytics platforms, trained folks to leverage BI tools, and provided your colleagues with easier access to insights
• You’ve built tools and mechanisms to consolidate and update data regularly to make data easily accessible to all stakeholders in the company
• You’ve translated product and business questions into quantitative questions, uncovered the inputs into our success metrics and started publishing weekly reports that product and leadership teams use to identify critical areas of improvement
• You’ve upkept company KPI metrics and planned data analysis roadmaps to meet the operational and performance tracking requirements across teams
• You’ve created new KPIs to track the product performance that guide the product team’s initiatives

A background like this helps:

• Educational background in Computer Science, Engineering, Math, Statistics, Economics or a quantitative discipline preferred
• Professional work experience in a hands-on analytics or data science function with proven quantitative orientation, manipulating large datasets for time series analysis, cohorting, segmentation and forecasting.
• Proven ability to translate ambiguous business and product questions into quantitative problem statements, structure complex analysis, implement large scale analytical solutions and drive business and product insights.
• Advanced skills in SQL, ETL, Product Analytics tools (e.g., Pendo), Data Warehouse solutions (e.g., Redshift)
• Knowledge and experience with data pipeline technologies, data modeling (star schemas, snowflake, aggregation tables), basic data architectures (compute and reporting pclusters).
• Experience in inventing new metrics, conducting root cause analysis, A/B testing and developing reporting/visualization solutions (e.g., Tableau, Quicksight)
• Fluency with statistical analytics and a programming language such as R, Python etc.
• Excellent organizational skills including prioritization of multiple concurrent projects while still delivering timely and accurate results.
• Excellent oral, presentation and written communication skills - you’re passionate about storytelling via data!
• A Just Do It attitude and ability to move with urgency and customer obsession.
• An ownership mindset - acts and makes decisions on behalf of the company, not just the team. Never heard of the words “not my job”.

The following would differentiate you:

• Experience working with product managers and developing SaaS product analyses
• Experience with technologies such as Pendo, Airflow, Hadoop or Spark
• Understanding of blockchain data

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