Data Analytics Manager: AI-Driven BI & Leadership

careers-rmrgroup; Orlando (FL); On-site; USD 135,000 - 155,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Life & Disability Insurance

401(k) Plan with Employer Match

Tuition Assistance

Parental Leave

Job summary

The RMR Group is seeking an experienced Manager of Data Analytics to lead a Data Analytics team within Enterprise Applications in Orlando, FL. This player/coach role combines hands-on analytics with team leadership and a strategic data roadmap.

The ideal candidate has deep Microsoft BI stack expertise (Power BI, SQL Server, SSAS Tabular) and a passion for AI-augmented analytics that empower business users with self‑service insights.

Qualifications

• Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Data Management, Information Systems, Information Science or a related quantitative field.
• 7+ years of experience in data analytics or business intelligence, with at least 2 years in a team lead or management capacity.
• Advanced proficiency in Power BI, including DAX, data modeling, and enterprise‑grade report and dashboard development.
• Deep experience designing, building and tuning SSAS Tabular models (Analysis Services data cubes) for enterprise analytics workloads.
• Strong SQL skills with hands‑on experience in SQL Server, including query optimization, stored procedures, and schema design.
• Familiarity with the full Microsoft SQL Server BI stack: SSAS, SSIS, SSRS and Excel/Power Query.
• Demonstrated ability to lead, develop, and retain a team of data professionals.
• Excellent communication skills: ability to translate complex analytical findings into clear narratives for technical and executive audiences.
• Experience with Agile development methodologies and DevOps principles applied to data pipelines.
• Strong attention to detail with a commitment to data quality and accuracy.
• Genuine curiosity about applying AI to analytics.

Responsibilities

• Directly manage and mentor a team of Data Analysts, fostering curiosity, technical excellence and continuous improvement.
• Define team goals, set performance expectations, and conduct regular performance evaluations and career development conversations.
• Champion Agile delivery practices within the analytics team, facilitating sprint planning, retrospectives and backlog prioritization.
• Serve as an escalation point and technical advisor for complex data issues, ensuring timely resolution and knowledge sharing.
• Partner with the Senior Director to shape the analytics strategy and ownership of the analytics roadmap.
• Drive adoption of self‑service analytics, reducing ad‑hoc reporting burden while empowering business users.
• Collaborate with Data & AI Platforms on pipelines and infrastructure for scalable, governed AI‑ready analytics.
• Design and develop Power BI reports, dashboards, and data models delivering actionable insights to leadership.
• Architect and optimize SSAS Tabular models to support enterprise analytics workloads.
• Lead design reviews and peer code reviews for analytics deliverables ensuring quality and documentation.
• Collaborate with application teams to ensure optimal data structures for analytics across the Microsoft BI stack.
• Present data findings and roadmaps to senior leadership and cross‑functional teams.
• Evangelize data management best practices and promote a data‑driven culture.
• Lead the team’s evolution toward AI‑augmented analytics including AI tooling like Copilot for Power BI.
• Stay current on AI in analytics, lakehouse and data mesh patterns, bringing practical innovations.

Skills

Power BI

Team leadership

Agile delivery

Data modeling

SQL querying

Communication

AI in analytics

Education

Bachelor's degree in a quantitative field

Tools

Power BI

SSAS Tabular

SQL Server

Snowflake

Microsoft Fabric

Azure Synapse

Azure Data Factory

SSIS

SSRS

Job description

The RMR Group is seeking an experienced Manager of Data Analytics to lead a Data Analytics team within Enterprise Applications in Orlando, FL. This player/coach role combines hands-on analytics with team leadership and a strategic data roadmap.

The ideal candidate has deep Microsoft BI stack expertise (Power BI, SQL Server, SSAS Tabular) and a passion for AI-augmented analytics that empower business users with self‑service insights.