Looking for an experienced Project Manager with a strong background in data analytics and statistics to lead end-to-end data-driven initiatives. The role involves managing cross-functional teams, delivering insights through statistical models and reporting, and ensuring projects meet scope, time, and quality standards. Candidates should have experience with tools like SQL, Python, R, or BI platforms, strong stakeholder management skills, and knowledge of Agile/Waterfall methodologies. PMP/Agile certification is a plus.
Required Qualifications & Skills:
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Bachelor’s degree in Statistics, Data Science, Computer Science, Engineering, or related field (Master’s preferred).
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Proven experience (5+ years) as a Project Manager handling data analytics or statistics-driven projects.
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Strong knowledge of statistical methods, data analysis, and reporting techniques.
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Familiarity with tools such as SQL, Python, R, Power BI, Tableau, or SAS.
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Excellent understanding of project management methodologies (Agile, Scrum, or Waterfall).
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Strong communication, leadership, and stakeholder management skills.
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PMP, PRINCE2, or Agile certification (preferred).