Strategic Analytics Partner
Listed on 2026-06-18
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Security
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Race Trac Company Overview
Job Description :
The Strategic Analytics Partner (SAP) is a pivotal advisor within the Enterprise Strategic Analytics + Data Science team (ESADS), serving as a strategic liaison and collaborative partner to various Business Partners within the organization. This role plays a crucial role in driving organizational growth, operational excellence, and competitive advantage by leveraging advanced analytics, strategic consulting expertise, and cross-functional collaboration. The SAP focuses on aligning analytics initiatives with business objectives, applying consulting methodologies and best practices, and delivering high-quality, value-driven solutions that address critical business challenges and opportunities within the ESADS framework.
Responsibilities
- Scope of Role:
- Act as a strategic partner within the Enterprise Strategic Analytics + Data Science team (ESADS), collaborating with specific business leaders, stakeholders, and teams to identify, prioritize, and address critical business challenges and opportunities.
- Lead and execute advanced analytics projects, initiatives, and collaborations within the ESADS framework, leveraging consulting methodologies, techniques, and best practices to drive organizational growth and operational excellence.
- Foster cross-functional collaboration and alignment to design, develop, and deliver data-driven solutions, insights, and recommendations that align with ESADS objectives and strategic priorities.
- Identify opportunities for “productization” of analytics that can be scaled, that are repeatable, and that bring recurring business value.
- Day-to-Day
Activities: - Conduct comprehensive business assessments, analytics needs analyses, and strategic alignment sessions within the ESADS context to inform decision-making, prioritization, and execution.
- Proactively align and escalate within the Enterprise Strategic Analytics + Data Science team (ESADS) to ensure the right skill sets are being engaged (Data Science, Data Engineering, Strategic Consulting, etc.) to maximize the value delivered to the business
- Apply advanced analytics techniques, methodologies, and tools to analyze complex data sets, develop predictive models, and generate actionable insights tailored to ESADS initiatives and business requirements.
- Facilitate workshops, meetings, and presentations within the ESADS framework to communicate findings, recommendations, and strategic implications to diverse stakeholders, including ESADS team members, Business Partners, and executive leadership.
- Expected Outcomes:
- Enhance strategic alignment, prioritization, and execution of analytics initiatives within the ESADS team and across the organization.
- Improve decision-making processes, operational efficiency, and business performance metrics through ESADS-driven solutions, insights, and recommendations.
- Demonstrate value creation, measurable impact, and competitive differentiation within the ESADS context through analytics-driven solutions, deliverables, and strategic partnerships.
- Complexities:
- Navigate ambiguity, manage competing priorities, and align diverse stakeholder interests and objectives within the ESADS framework and broader organizational context.
- Integrate consulting expertise with technical proficiency, business acumen, and industry knowledge to drive results and achieve ESADS objectives.
- Foster collaboration, communication, and alignment across cross-functional teams, departments, and business units, leveraging the ESADS platform to facilitate strategic partnerships and initiatives.
- Required Experience:
- Bachelor’s or Master’s degree in Data Science, Analytics, Computer Science, Finance, Business Management/Administration, or a related field, with a focus on advanced analytics, strategic consulting, or a relevant discipline.
- Minimum of 5-10 years of experience in management consulting, analytics, IT consulting, or a similar role, demonstrating expertise in leveraging advanced analytics techniques,…
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