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DNAnexus

Cloud platform for precision health analytics

Data Analyst Contractor

Data AnalysisConfirmed live in the last 24 hours
Full-timeRemote in CzechiaNo salary listed

About the Job

Requirements

  • At least 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 business intelligence tool.
  • Experience working with financial or operational data, such as accounting, revenue, billing, or usage data.
  • 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 and overlap with US hours (late afternoon CET/CEST) several days a week.

Responsibilities

  • Maintain and build datasets and reports supporting customer usage analysis, forecasting, and budgeting, drawing on NetSuite, Salesforce, and the Redshift data warehouse.
  • Reconcile data between source systems and business intelligence 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 the semantic layer.
  • Support enterprise reporting on AI usage and adoption across teams.
  • Conduct usage and margin analysis to support customer renewals and pricing decisions.
  • Review cloud and AI spend to identify inefficiencies and potential savings.
  • Analyze cloud costs in relation to customer profitability.

Desired Qualifications

  • 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.

About the Company

DNAnexus

Cloud platform for precision health analytics

DNAnexus provides a platform for precision health data analysis that helps biomedical organizations manage, analyze, and collaborate on multimodal datasets. It offers a secure environment where teams run predictive analytics using AI and machine learning, with pre-built tools and apps that speed up analyses. The platform supports multiple workflow languages and can integrate clients’ own tools, and includes a cohort browser plus integrated JupyterLab notebooks for deep data exploration. Its goal is to accelerate scientific discoveries and improve patient care by turning complex health data into actionable insights, delivering value through an end-to-end, scalable platform for data management, analytics, and collaboration.

Company size
201-500
Company stage
Late Stage VC
Total funding
$472.6M
Headquarters
Mountain View, CA
Founded
2009

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