BI Enablement & Analytics Lead

Washington, AR - USA

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

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 be responsible for designing high-impact analytics and AI products while simultaneously building the data culture required to support them. You will move beyond simple reporting to act as a true partner to business units-translating complex data into compelling stories mentoring teams on visualization best practices and spearheading initiatives to improve data literacy and AI readiness enterprise-wide.

Key Responsibilities

Product Development & Strategy: Design develop and maintain advanced data analytics and AI products that solve specific 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 (UI/UX) analytics techniques and the 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 continuously innovate internal capabilities.

Required Skills and Qualifications

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.
Coding & 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 specific ability to explain complex technical topics to non-technical audiences clearly.
Governance: A strong understanding of data quality security and governance principles.
Problem Solving: Demonstrated ability to identify root causes of data issues and implement process improvements.

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No

Key Responsibilities

Product Development & Strategy: Design develop and maintain advanced data analytics and AI products that solve specific 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 (UI/UX) analytics techniques and the 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 continuously innovate internal capabilities.

Required Skills and Qualifications

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.
Coding & 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 specific ability to explain complex technical topics to non-technical audiences clearly.
Governance: A strong understanding of data quality security and governance principles.
Problem Solving: Demonstrated ability to identify root causes of data issues and implement process improvements.