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indeed

Data Scientist

DT Professional Services
Port Hueneme, USA
Onsite
USD 80000-100000 yearly
Discovered 3 days ago
Power BIPower AutomatePower AppsSharePointData analyticsBusiness intelligence

Full Job Posting

Role overview

Develop data-driven solutions for organizational decision-making, operational tracking, and process automation.

Use Power Platform technologies and data modeling to provide visibility into initiatives, accountability, and program performance.

Analytics, integration, and automation

  • Design Power BI dashboards and interactive visualizations for objectives, performance metrics, and operational data.
  • Connect SharePoint lists and other data sources to reporting tools through data models.
  • Build structured data environments, project tracking mechanisms, and synchronized data across platforms.
  • Create Power Automate workflows for intake, approvals, status tracking, alerts, and notifications.

Applications and program tracking

  • Design data collection tools, forms, and scalable applications that consolidate input from multiple stakeholders.
  • Track infrastructure projects, procurement, and other initiatives; monitor progress and enable proactive follow-up.
  • Translate ambiguous stakeholder requirements into technical solutions and iterate based on feedback.
  • Maintain and troubleshoot dashboards, workflows, and applications; improve performance and usability.

Minimum requirements

  • Active DoD Secret Clearance.
  • Bachelor’s degree in Data Science, Computer Science, Information Systems, Analytics, or related field, or equivalent experience.
  • 3+ years in data analytics, automation, or business intelligence.
  • Hands-on Microsoft Power Platform experience with Power BI, Power Automate, and Power Apps.
  • Experience with SharePoint or similar data storage and collaboration tools.
  • Experience designing data models and interactive dashboards; strong analytical and problem-solving skills.
  • Ability to manage multiple projects and deliver in a fast-paced environment.

Preferred qualifications

  • Data modeling, ETL concepts, or data pipeline design experience.
  • Familiarity with HTML or other scripting languages; enterprise tracking systems and performance dashboards.
  • Knowledge of workflow automation best practices and process optimization.
  • Government, defense, or regulated-environment experience; exposure to AI/ML or advanced analytics.
  • Strong communication skills and ability to explain technical solutions to non-technical stakeholders.

Compensation

  • Listed base compensation range is $80,000–$100,000; the employer notes the range may vary based on location, experience, skills, qualifications, and internal equity.

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