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Overview SUMMARY / OVERALL PURPOSE We are seeking a Manager of Data Analytics & BI Reporting to lead and evolve a high-performing analytics function into a proactive, insight-driven business partner while remaining hands-on in delivering impactful data solutions. This role operates in a player-coach capacity, with an expected allocation of approximately 80% leadership, stakeholder engagement, delivery accountability, and team management and 20% hands-on contribution. The individual should be comfortable flexing into deeper hands-on involvement as business needs evolve, particularly in periods of transformation, critical delivery, or team capacity constraints.

This role is responsible for driving enterprise reporting, advancing data engineering practices, and building a scalable analytics ecosystem that supports data-driven decision making across the business. This role is not intended for candidates seeking a primarily hands-on development position, nor for leaders who are fully removed from technical execution. This leader will oversee the design, development, and delivery of analytics and reporting solutions leveraging platforms such as Informatica IDMC, MicroStrategy, Power BI, and Oracle databases, while mentoring and developing a multidisciplinary team of architects and engineers.

ESSENTIAL/PRIMARY DUTIES, FUNCTIONS, AND RESPONSIBILITIES Leadership & Team Development Lead, mentor, and grow a high-performing analytics and BI team across reporting, data engineering, and visualization disciplines Operate as a player-coach, balancing strategic leadership with hands-on contribution to critical initiatives Establish team standards, best practices, and governance across analytics, reporting, and data pipelines Foster a culture of accountability, continuous improvement, and business partnership Analytics & Reporting Delivery Oversee the development and delivery of enterprise reporting and dashboards using Power BI and MicroStrategy Standardize metrics, definitions, and reporting frameworks to ensure consistency and trust in data Ensure reporting solutions are scalable, accurate, and aligned to business KPIs Drive adoption of self-service analytics capabilities across the organization Data Engineering & Architecture Provide technical leadership in building and optimizing data pipelines and integrations using Informatica IDMC Oversee data modeling, transformation, and data quality processes within an Oracle-based data environment Identify opportunities to drive efficiency through automation, standardization, and reusable data assets Partner with architecture and IT teams to evolve modern data platforms and cloud strategies Ensure strong data governance, lineage, and performance optimization practices Strategy & Execution Define and execute a roadmap for analytics modernization, including tools, platforms, and operating model Align analytics initiatives with business priorities and ROI outcomes Drive efficiencies through automation, standardization, and reusable data assets Manage vendor relationships and tool optimization across BI and data platforms Business Partnership & Strategic Influence Lead the evolution of the analytics function from request-driven reporting to proactive business enablement, identifying opportunities, surfacing insights, and influencing decisions ahead of demand Act as a strategic thought partner to business leaders, leveraging data to challenge assumptions, prioritize initiatives, and drive measurable outcomes Establish a culture of ownership and curiosity, where the team actively seeks out "low-hanging fruit" and high-impact opportunities rather than waiting for intake JOB REQUIREMENTS (SKILLS & EXPERIENCE) 7+ years of experience in data analytics, BI reporting, or data engineering , with 2-4+ years in a leadership role Proven experience in a player-coach capacity , balancing leadership and hands-on technical delivery Strong expertise with: Power BI (data modeling, DAX, dashboard development) MicroStrategy (enterprise reporting and semantic layer design) Informatica Intelligent Data Management Cloud (IDMC) Oracle databases (SQL, performance tuning, data structures) Familiarity with Python for data integration, automation, and analytics use cases, including API-driven workflows and potential expansion into advanced analytics Familiarity with designing and evolving modern data architectures (such as lakehouse) and implementing near real-time data flows to support scalable, flexible analytics and advanced data use cases Understanding data architecture and engineering practices that support AI/ML Experience building and scaling data and analytics teams Strong understanding of data warehousing, ETL/ELT processes, and data architecture principles Ability to translate complex data into clear business insights and executive-level storytelling PREFERRED QUALIFICATIONS Experience in restaurant, retail, hospitality, or multi-unit operations environments Exposure to cloud data platforms (e.g., Snowflake, Azure, AWS) Familiarity with real-time or near-real-time data processing Experience implementing data governance frameworks and data quality tools Background supporting finance, operations, or customer analytics use cases LEADERSHIP COMPETENCIES Strong business decision-making mindset with ability to balance speed, quality, and cost Excellent communication and stakeholder management skills Ability to operate effectively in fast-paced, evolving environments Demonstrated success building trusted partnerships across business and technology teams Apply.