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.
