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Data and Analytics Project Manager Jobs

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Area Manager
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United Kingdom
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Charles Tyrwhitt
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Managing Consultant - Strategy & Transformation
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Hungary , Budapest
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Mastercard
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Functional Business Analyst
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United States , Seattle
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Robert Half
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Associate, Performance Strategy
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United States , Playa Vista
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45000.00 USD / Year
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Canvas Worldwide
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Sunsilk Content Strategy Lead
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Indonesia , Banten
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Unilever
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SAP Security & GRC Lead
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Australia , Brisbane
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Aurizon
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Accounting Manager
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United States , Honolulu
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Robert Half
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Principal Engineer, Web Platform
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Ireland , Dublin
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Intercom
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Principal Engineer, Web Platform
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United Kingdom , London
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Intercom
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Corporate Recruiter
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United States , New York
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80000.00 - 100000.00 USD / Year
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Sotheby's
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Financial Analyst
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United Kingdom , London
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360 Resourcing Solutions
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Senior Salesforce Developer
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United States , Roseville; San Mateo; Lehi; Austin; West Palm Beach; Plano
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146000.00 - 170000.00 USD / Year
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GoodLeap
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Manager / Team Lead, Application Development
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United States , Peoria
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CCV
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Senior Creative Copywriter
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Germany , Berlin
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AUTO1 Group
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Controller
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United States , Lodi
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Product Strategy Lead
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United States
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Aledade, Inc.
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Product Strategy Lead
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United States
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Aledade, Inc.
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Senior Training Aircraft Readiness Data Scientist
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United States , Patuxent River, Lexington Park
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130000.00 - 180000.00 USD / Year
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KAIROS Inc
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Kafka Engineer
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United States , Santa Clara
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Robert Half
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Senior Vice President, Credit Specialist, Private Banking
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Singapore , Singapore
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Citi
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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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