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Data and Analytics Project Manager Jobs

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Delivery Manager - ERP Projects
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India , Pune
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Vodafone
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Intern project management
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Indonesia , Jakarta
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Boeing
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Senior Marketing Manager
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United States , Irvine, California or San Diego, CA
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Robert Half
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HRIS Analyst
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United States , San Antonio
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30.00 - 35.00 USD / Hour
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MillenniumSoft Inc
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Senior Product Marketing Manager
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United States , South Jordan
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Cricut
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Analyst – Data Analytics, Content
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China , Shanghai
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Z-Ben Advisors
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Senior Marketing Manager
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United Kingdom , Bracknell
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CIOB
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Senior Technical Product Manager - Core Database
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United States
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126650.00 - 193800.00 USD / Year
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ClickHouse
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Senior Technical Product Manager - Core Database
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Netherlands , Amsterdam
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ClickHouse
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Senior BI Consultant
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intecs data, s.r.o.
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Payment Integrity Coding Coordinator
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United States , Phoenix
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Blue Cross Blue Shield of Arizona
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Marketing Specialist
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Australia , Sydney
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75000.00 - 95000.00 AUD / Year
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11 Recruitment
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Senior/Principal CSV Consultant
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United States
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Product Life Group
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Business Analyst Assistant - Working Student
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Switzerland , Basel
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25.00 CHF / Hour
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MDPI
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Marketing Manager
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United States , New York
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CloserStill Media
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Applications Engineer
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United States , Bryan
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Bryan Research & Engineering
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Architecture Lead Analyst
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Ireland , Dublin
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Citi
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SAP PP/QM Public Cloud Functional Consultant
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India , Noida
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Sopra Steria
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SAP PM (EAM) Functional Consultant
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India , Noida
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Business Process Engineer
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United States , Albuquerque
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Robert Half
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Embark on a high-impact career at the intersection of data, technology, and business strategy by exploring Data and Analytics Project Manager jobs. This unique hybrid role is pivotal in today's data-driven organizations, acting as the crucial bridge between technical data teams and business stakeholders. Professionals in this field are responsible for translating complex business needs into actionable data initiatives, ensuring that analytics projects deliver tangible value and insights. A Data and Analytics Project Manager typically oversees the entire lifecycle of data-centric projects. This includes initiating projects by defining scope and objectives with key stakeholders, planning resource allocation and timelines, and executing the work through coordinated team efforts. Common responsibilities involve managing the development of data warehouses, implementing new business intelligence (BI) dashboards, overseeing the deployment of machine learning models, or ensuring compliance with data governance and quality standards. Their core mission is to shepherd data projects from a conceptual idea to a fully operational solution that informs decision-making. The day-to-day duties are diverse and demanding. Practitioners are consistently engaged in stakeholder management, communicating progress, managing expectations, and translating technical challenges into business risks. They facilitate agile ceremonies for data engineering or data science teams, manage project backlogs, and mitigate risks that could derail timelines or data integrity. A significant part of the role is also change management, helping the business users adopt and effectively utilize new data tools and reports. To succeed in Data and Analytics Project Manager jobs, a specific blend of technical and soft skills is essential. Strong foundational knowledge of data concepts—such as data modeling, ETL processes, SQL, BI platforms, and the fundamentals of data science—is critical for credibility and effective planning. However, technical knowledge must be paired with exceptional leadership, communication, and problem-solving abilities. Typical requirements for these positions include a bachelor’s degree in a related field like business, computer science, or information systems, coupled with several years of experience in project management, often certified by a PMP or Agile Scrum Master credential. Direct experience within data or analytics teams is a significant advantage. If you are a strategic thinker who thrives on delivering results and unlocking the power of data, a career in Data and Analytics Project Manager jobs offers a challenging and rewarding path to shape the future of business intelligence.

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