BI Enablement & Analytics Lead

BI Enablement & Analytics Lead

Company: JPS Tech Solutions

Location: District of Columbia, Washington

Job Type: Hybrid

Compensation: Depends on Experience

W2: W2-Contract Only;
Applications on a C2C basis will not be considered

C2C: Contract - W2

We are seeking a strategic and hands‑on BI Enablement & Analytics Lead to drive the adoption of data‑driven decision‑making across our organization. Sitting at the intersection of technical development and business strategy, you will design advanced analytics and AI products while building the data culture required to support them. You will translate complex data into compelling stories, mentor teams on visualization best practices, and spearhead initiatives to improve data literacy and AI readiness enterprise‑wide.

• Product Development & Strategy:
  Design, develop, and maintain advanced data, analytics, and AI products that solve business problems and make insights accessible to non‑technical users.
• Data Literacy & Training:
  Design and deliver engaging workshops, training courses, and educational materials to elevate data literacy and AI proficiency across the organization.
• Stakeholder Partnership:
  Collaborate with cross‑functional departments to gather requirements, identify process gaps, and deliver tailored analytics solutions that drive measurable business impact.
• Mentorship & Best Practices:
  Guide analysts and business stakeholders on data visualization standards, analytics techniques, and effective use of BI tools.
• Culture & Storytelling:
  Engage with leadership and teams to share data stories, promoting an integrated analytics‑driven culture and encouraging collaboration.
• Governance & Documentation:
  Develop and maintain robust documentation, guidelines, and governance frameworks for analytics processes, data visualization standards, and AI tool usage.
• Performance Monitoring:
  Track and analyze the usage and business impact of data initiatives to measure success and identify areas for optimization.
• Innovation:
  Stay current with emerging trends in Data Science, GenAI, and visualization technologies to continue innovating internal capabilities.

• Technical Modeling:
  Proven experience in dimensional data modeling, software analysis, design, and testing for enterprise data warehousing solutions.
• Visualization Expertise:
  High‑level proficiency in Tableau or Power BI is crucial for creating intuitive and impactful data visualizations.
• AI & GenAI Proficiency:
  Essential knowledge of data science and machine learning concepts, with practical experience in Generative AI tools and prompt engineering.
• Programming and Data Manipulation:
  Familiarity with SQL for data querying and programming languages like Python or R for manipulation and analysis.
• Communication:
  Exceptional communication and presentation skills, with the ability to explain complex technical topics to non‑technical audiences clearly.
• Governance:
  Strong understanding of data quality, security, and governance principles.
• Problem Solving:
  Demonstrated ability to identify root causes of data issues and implement process improvements.

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