Data Strategist 3

DEPARTMENT:

JOB SUMMARY:

The Data Strategist (Level 3) serves as an analytics leader within the Center of Excellence (COE), driving the execution of enterprise data strategy roadmaps and fostering partnerships with business leaders. Responsible for leading the end-to-end delivery of complex BI applications, data products, and analytics initiatives, this role evangelizes the value of data-driven decision-making across the organization.

This role advocates data literacy, oversees change management programs, and ensures integrated analytics solutions while mentoring junior team members and promoting COE governance standards.

JOB RESPONSIBILITIES:

• Lead and mentor junior Data Strategists, ensuring alignment with the overall COE strategy and business objectives
• Foster strong partnerships with business leaders to identify opportunities to apply data and analytics to strategic goals
• Lead the development and execution of data strategy roadmaps, ensuring timely delivery of analytics initiatives
• Promote a collaborative environment, encouraging knowledge sharing and innovation within the team and across the organization
• Advocate for data literacy and self-service analytics, leading training and change management initiatives as needed
• Monitor and evaluate the impact of analytics initiatives, recommending improvements and adjustments as needed
• Collaborate with other COE leaders, ensuring a holistic and integrated approach to data and analytics projects
• Evangelize the value of data, analytics, and fact-based decisions across the organization
• Lead the planning of projects to produce reports and data-driven insights
• Lead the ideation, requirements gathering, and delivery of BI applications and data products
• Any other duties as assigned by leadership 

REQUIREMENTS / QUALIFICATIONS:

• Bachelor’s degree in Business, Data Analytics, Mathematics, Computer Science, Information Systems, or a related field (equivalent combination of education and directly related work experience will be considered)
• 4+ years of progressive, combined experience in data analysis, mathematics, visualization, or similar BI domains (end-to-end project management leadership and direct stakeholder/client engagement strongly preferred)
• Prior experience coaching, mentoring, or guiding junior team members or project contributors highly preferred
• Expert knowledge of business intelligence frameworks, data analysis, core enterprise business metrics, and data visualization best practices
• Proven experience gathering business requirements, defining analytics scope, and leading the end-to-end delivery of BI applications and data products
• Demonstrated ability to partner with business leaders, translate complex data concepts for non-technical audiences, and influence data-driven decision-making
• Working knowledge of data governance principles, data quality management, and data security standards within enterprise analytics environments highly preferred
• Strong project management, presentation, problem-solving, and cross-functional facilitation skills

Software & Technical Skills

• Advanced proficiency with modern BI tools (e.g., Power BI, Tableau) and Microsoft Office Suite (Excel, Word, PowerPoint)
• Strong working knowledge of relational database environments (e.g., Microsoft SQL Server) and cloud data platforms (e.g., Microsoft Azure)
• Exposure to data modeling concepts, star schema design, or data transformation workflows highly preferred