Project Manager, Data & Analytics - Hybrid
Listed on 2026-01-26
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst
Overview
Why Work for Us? Workplace well-being is more important than ever. We are the winner of the 2018, 2019, 2020, 2021, 2022, 2023 and 2024 Best and Brightest Companies to Work for In The Nation. We have also won the 2020 Best Places to Work Award, Minneapolis/St. Paul Business Journal.
Our employees benefit from a competitive benefits package that includes paid time off (PTO), parental leave, paid holidays, insurance (medical, dental, vision, life, STD, LTD), flexible schedules, a 401k program with company match, and profit sharing. Insurance benefits effective on the 1st of the month following hire.
At R3 Continuum, we believe our differences don’t divide us but teach us. R3 Continuum eagerly embraces diversity and is a committed Equal Opportunity Employer to all qualified applicants, ensuring individuals will not be discriminated against based on any protected classifications.
Join a company dedicated to helping people and organizations be more resilient and thrive.
Position SummaryThe Data Analytics Project Manager is responsible for planning, executing, and delivering data analytics initiatives that support strategic business objectives. This role operates with a high degree of independence, translating complex business requirements into actionable analytics projects while ensuring alignment with R3’s strategy, commitments and departmental goals. The position leads cross-functional teams of Data Analysts, Data Engineers, Data Architects and stakeholders, managing timelines, resources, and risks across multiple concurrent projects.
The scope of the role spans enterprise-level analytics programs, from data acquisition and modeling through insight delivery and performance measurement. Working from office is required as needed (approximately two days per month).
- Collaborate with stakeholders to understand business objectives and translate them into clear analytic requirements
- Document functional and technical specifications for analytics projects
- Define project scope, objectives, timelines, and deliverables in collaboration with stakeholders
- Develop and maintain detailed project plans, schedules, and resource allocations
- Monitor project progress and proactively address risks, issues, and dependencies
- Spearhead large-scale data integration projects, enhance decision-making through actionable insights and significantly reduce processing times
- Serve as the primary point of contact for project stakeholders
- Ensure alignment between business objectives and analytics deliverables
- Facilitate regular status meetings and reporting
- Provide clear updates to internal and external stakeholders
- Act as a lead when collaborating with data analysts, data engineers, and business teams to ensure timely delivery
- Remove roadblocks and monitor daily tasks to ensure timely completion
- Simultaneously manage priorities and workloads across multiple projects
- Ensure deliverables meet quality standards and adhere to data governance and compliance requirements
- Document processes, decisions, and lessons learned for continuous improvement
- Conduct post-project evaluations and implement lessons learned
- Prepare project dashboards, progress reports, and executive summaries
- Communicate complex analytics concepts in a clear and actionable manner
- Manage and maintain an updated document library
- Update data flows
- Participate in department and company meetings, as requested
- Perform other duties as assigned
- Ability to operate successfully with strategic and tactical level issues
- Demonstrated expertise in Agile, Scrum and Waterfall methodologies, with a focus on sprint planning, JIRA management, and stakeholder communication
- Excellent organizational and time management skills
- Excellent communication skills with the ability to maintain stakeholder engagement
- Proficiency in project management tools (e.g., Jira, Asana, MS Project)
- Understanding of analytics concepts, data visualization, and BI tools (e.g., Power BI, Tableau)
- Familiarity with SQL and data querying
- Advanced knowledge of Microsoft Office Suite or related software
- Bachelor’s degree in Business, Analytics,…
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