Project Manager, Data & Analytics - Hybrid

R3 CONTINUUM LLC•Bloomington, MN

6d•$80,000 - $100,200•Hybrid

About The Position

The 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.

Requirements

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, Data Science or related field, required
5 years of experience in a Project Manager or equivalent role required; preferably in analytic or data-driven environments
All applicants must reside in the United States.
Employment contingent on a successful background check, work history verification, reference checks, and signing a non-disclosure agreement.

Nice To Haves

Master’s degree, preferred
PMP or Agile certification, preferred

Responsibilities

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