Project Manager (Data & Analytics) Tranzmeo

About Tranzmeo

Job Description

We are seeking an experienced Project Manager specializing in Data & Analytics to oversee and supervise data-driven projects spanning various business domains. The successful candidate will possess significant expertise in managing projects related to data engineering, business intelligence, and analytics, demonstrating a track record of collaborating effectively with technical and business stakeholders to deliver impactful solutions within specified timeframes and budgets. Key Responsibilities: - Lead the end-to-end project management of data and analytics initiatives. - Define project scope, objectives, deliverables, schedules, and resource allocations. - Collaborate closely with data engineers, data scientists, analysts, and business stakeholders. - Proactively manage project risks, issues, and dependencies. - Ensure quality assurance, timely reporting, and documentation throughout the project life cycle. - Provide regular updates on project status, milestones, and issues to leadership and stakeholders. - Facilitate Agile/Scrum ceremonies and ensure the timely delivery of sprint objectives. - Coordinate activities across cross-functional teams to align with business goals. - Monitor key performance indicators (KPIs), return on investment (ROI), and the business impact of analytics solutions. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. Possession of PMP/PRINCE2 certification is advantageous. - Minimum of 6 years of overall experience, with at least 3 years in the management of data analytics or data engineering projects. - Solid understanding of AI, data warehousing, ETL pipelines, data visualization, and analytics platforms. - Hands-on experience with tools and technologies such as SQL, Power BI/Tableau, Python/R (preferable), and cloud data platforms (AWS/GCP/Azure). - Proficient in project management practices encompassing planning, budgeting, and stakeholder engagement.,