Open role · Engineering

BI Developer

Work mode: Remote, Eastern Time overlap preferred Engagement type: Independent contractor, full-time or project-based Req ID: GDBI-9B4E2D8E

Role summary

Lead enterprise business-intelligence delivery from semantic modeling and data quality through executive dashboards, self-service analytics and operational reporting.

What you’ll do

  • Design and deliver enterprise dashboards, reporting systems and self-service analytics.
  • Build BI solutions on governed data warehouses and cloud analytics platforms.
  • Improve data models, semantic layers, DAX/SQL performance and dashboard responsiveness.
  • Lead requirements and analytics discussions with executives and business stakeholders.
  • Establish data-quality checks, governance practices and deployment standards for BI assets.
  • Mentor analysts and developers while strengthening client analytics capability.

What you should bring

  • Senior-level BI and analytics experience with hands-on delivery responsibility.
  • Expertise in Power BI, Tableau or Looker together with strong SQL and data-modeling skills.
  • Experience integrating BI with platforms such as Snowflake, Databricks, Synapse, Redshift or BigQuery.
  • Working knowledge of ETL/ELT, data quality and cloud analytics architecture.
  • Experience leading BI projects and communicating with senior business stakeholders.
  • A relevant BI or Microsoft certification is required; provide a verification link with the application.

Useful additional experience

  • Python or R for advanced analytics
  • CI/CD for BI assets
  • Executive data storytelling
  • Experience across regulated or industrial environments

How we work

NoèmeX teams stay close to the business problem and the production system. You may work across client delivery, platform development or internal capabilities depending on the role. We value clear specifications, maintainable architecture, disciplined execution and direct communication.

Hiring process

The exact assessment varies by role. Shortlisted candidates should expect an initial conversation followed by a role-relevant technical, practical or structured panel assessment before a final decision.

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