Project Manager, Data & Analytics - 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
Benefits
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
