Data Analytics Manager

Company and team

Role summary

Team and business partnership

• Set team objectives, responsibilities, delivery expectations, and development plans; allocate work based on priorities and capacity.
• Coach team members, conduct performance reviews, address performance gaps, and support recruitment, succession, cross-training, and coverage.
• Engage business leaders and service customers to understand priorities, initiatives, challenges, and decisions; turn those needs into analytics priorities.
• Identify opportunities for analytics to improve growth, profitability, efficiency, and customer service.

Delivery, reporting, and technology

• Own BI demand intake and delivery backlog; agree scope, KPI definitions, acceptance criteria, priorities, and timelines with stakeholders.
• Manage dependencies, capacity, risks, and changes; report progress, escalate blockers, and ensure business validation, user acceptance testing, and sign-off before release.
• Set reporting standards for clarity, consistency, accessibility, navigation, responsiveness, and usefulness; validate prototypes and results with users.
• Use feedback and usage evidence to improve reporting and retire redundant reports.
• Evaluate Power BI, visualization, analytics, and AI capabilities through pilots and business cases; guide technical reviews, reusable patterns, and performance improvements.

Service, governance, and adoption

• Ensure refresh monitoring, incident triage, problem resolution, release controls, support documentation, and service-performance tracking.
• Partner with data owners, the Enterprise Data Architect, and data engineers on KPI consistency, data quality, access controls, audit evidence, and root-cause remediation.
• Lead user training, communications, change adoption, and governed self-service reporting; review performance and remove delivery bottlenecks.

Qualifications

• Bachelor's degree in Information Systems, Computer Science, Business Analytics, Engineering, Business, or a related field, or equivalent relevant experience.
• At least seven years in BI, data analytics, or enterprise reporting, including at least three years leading a BI or analytics team and managing delivery and performance.
• Demonstrated ability to lead and develop BI professionals and build a collaborative, accountable team.
• Strong Power BI knowledge, including dashboard design, DAX, Power Query, semantic models, reporting security, refresh management, and performance optimization.
• Solid understanding of SQL, dimensional modeling, data integration, data quality, and governed analytics; experience collaborating across architecture teams.
• Experience translating business needs into analytics roadmaps, requirements, delivery plans, acceptance criteria, and useful reporting.
• Experience improving user experience and adoption through discovery, prototypes, usability reviews, training, and feedback.
• Strong communication and stakeholder management skills, including explaining insights, technical tradeoffs, risks, and resource needs to business leaders and global teams.

Preferred experience

• Preferred experience includes manufacturing or global enterprise reporting; ERP, MES, or CRM data, including QAD ERP, Plex MES, or Salesforce CRM; Microsoft Fabric or Azure data platforms; PL-300 certification; and financial, commercial, or customer service analytics.

Compensation

• Base salary range is $100,000–$130,000 annually.

Benefits

• Benefits include medical, dental, and vision coverage, vacation, sick leave, paid holidays, life insurance, short- and long-term disability, and a defined contribution pension plan.