Analytics Project Manager

10 - 15 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Project Manager at the company, you will play a crucial role in overseeing the execution of data-driven projects that leverage advanced analytics, business intelligence, and reporting solutions to support key business objectives. You will work closely with stakeholders, project teams, and senior leadership to ensure successful project delivery within scope and aligned with business priorities. - Lead the planning, execution, and delivery of analytics projects, ensuring efficient resource allocation, adherence to timelines, and alignment with business priorities. - Engage with business leaders and cross-functional teams to define project requirements, goals, and KPIs, translating them into clear and actionable analytics solutions. - Collaborate with data scientists, data engineers, and analysts to develop data models, dashboards, and reports that provide actionable insights and drive business decisions. - Provide regular updates on project status, risks, and key deliverables to stakeholders and senior management, ensuring alignment with strategic objectives. - Implement and manage DevOps frameworks to support iterative project development, ensuring continuous delivery and improvement of analytics solutions. - Ensure analytics deliverables meet high standards of quality, accuracy, and usability through thorough reviews and validations. Basic Qualifications: - Masters degree in a related field (Computer Sciences, Engineering, Data Analytics, Business Administration, Information Technology) - 10-15 years of experience in project management, with a focus on analytics or data-related projects. - Strong communication skills, ability to engage stakeholders at all levels, manage multiple projects concurrently, focus on quality and timelines, excellent problem-solving, and debugging skills. - A team player with a drive for results. Preferred Qualifications: - Experience working with US Life science and/or Healthcare customers. - Knowledge of cloud technologies and data architecture is beneficial. - Familiarity with machine learning or advanced statistical techniques.,

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