Researchers use our platform to advance human health, and every genome, study, or analysis they run shows up somewhere in our enterprise data. As a Data Analyst, you'll help connect that activity to our revenue, costs, and customer usage patterns, using SQL and BI tools to build reporting that leadership can rely on. The role sits within a distributed Enterprise Data & Analytics team that uses AI tools in its day-to-day work, with colleagues in the United States, the Czech Republic, and Vietnam.
You're curious about where numbers come from and careful about whether they're right. When something doesn't add up, you dig in until you know why. You're comfortable with requirements that shift as you learn more, you ask questions when something is unclear, and you like finding ways to make our reporting more reliable and sustainable.
What You Will Do
- Maintain and build datasets and reports that support customer usage analysis, forecasting, and budgeting, drawing on NetSuite, Salesforce, and our Redshift data warehouse
- Reconcile data between source systems and BI dashboards, and trace discrepancies to their root cause
- Monitor business and operational metrics and summarize them for leadership
- Respond to ad-hoc analysis requests from Finance, Engineering, and other teams
- Write and update documentation for data and analytics processes
- Work with stakeholder teams to help define and validate shared metrics in our semantic layer (a central set of agreed-upon definitions)
Projects You May Support
- Enterprise reporting on AI usage and adoption across teams
- Usage and margin analysis to support customer renewals and pricing decisions
- Reviews of cloud and AI spend to identify inefficiencies and potential savings
- Analysis linking cloud cost to customer profitability
Must-Haves
- 2+ years of experience as a data analyst or in a similar analytical role
- Working knowledge of SQL, including writing queries to retrieve and transform data
- Experience building dashboards and visualizations in Tableau, Superset, or a similar BI tool
- Experience working with financial or operational data — accounting, revenue, billing, usage, or similar — and an interest in how the numbers fit together
- Professional fluency in written and spoken English, with the ability to explain findings clearly to non-technical stakeholders
- Ability to work independently within a distributed team, with enough flexibility to overlap with US hours (late afternoon CET/CEST) several days a week
Nice-to-Haves
- Exposure to NetSuite, Salesforce, or similar ERP/CRM systems
- Familiarity with a cloud data warehouse such as Redshift, Snowflake, or BigQuery
- Experience with Python or another scripting language for automating data tasks
- Hands-on use of AI tools to speed up analysis or coding, with a habit of checking the results
Based in Mountain View, California, DNAnexus is experiencing rapid growth and is searching for the best talent to join our team.
DNAnexus will provide the necessary support to enable the ideal candidate to work remotely within the Czech Republic.