Data & Analytics Project Manager

H&R Block; Missouri; On-site; USD 63,000 - 94,000; Full time

Benefits offered by this job

401(k) Plan

Medical coverage

Employee Assistance Program

Job summary

H&R Block is seeking a Project Manager for Data, Reporting & Analytics to turn complex operational data into clear insights that support leadership decisions. You will manage dashboards, reporting routines, and portfolio visibility across operations, finance, analytics, product, and field leadership.

You will translate data into decision-ready summaries, maintain metric definitions, and track readiness milestones while documenting actions, risks, and dependencies to drive ready, accurate

Qualifications

• Bachelor’s degree in a related field or equivalent experience.
• 3-5 years supporting data, reporting, or analytics initiatives.
• Ability to lead in a matrix environment and virtually.
• Strong analytical and problem-solving skills.
• Effective communication with multiple organizational levels.

Responsibilities

• Manage project plans for metrics, dashboards, reporting routines, and leadership insights.
• Coordinate reporting requirements across business partners.
• Analyze results and identify opportunities for improvement.
• Translate data into clear, decision-ready summaries and recommendations.
• Track readiness milestones and document actions, issues, and decisions.
• Identify risks, assumptions, barriers, and dependencies impacting readiness.

Skills

Data analysis

Dashboard development

Project management

Stakeholder communication

Microsoft Office

PM methodologies

Education

Bachelor’s degree or equivalent

PMP certification (preferred)

Tools

Microsoft Office

Job description

H&R Block is seeking a Project Manager for Data, Reporting & Analytics to turn complex operational data into clear insights that support leadership decisions. You will manage dashboards, reporting routines, and portfolio visibility across operations, finance, analytics, product, and field leadership.

You will translate data into decision-ready summaries, maintain metric definitions, and track readiness milestones while documenting actions, risks, and dependencies to drive ready, accurate