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Location: Northampton

Work Mode: Hybrid (twice a week from office)

Job Description:

We are seeking a Project Manager with hands-on Data Analysis experience to lead and deliver data-driven projects. This role requires a blend of project management expertise and technical proficiency in data analytics. You will work closely with cross-functional teams to deliver actionable insights, ensuring projects meet business objectives and timelines.

Key Responsibilities:

Project Management:

• Plan, execute, and monitor data analytics projects from inception to completion.
• Define project scope, objectives, timelines, deliverables, and resource requirements.
• Collaborate with stakeholders to gather requirements, align expectations, and ensure successful project delivery.
• Manage project risks, issues, and dependencies while ensuring quality and adherence to deadlines.
• Document project progress, deliver regular status reports, and facilitate communication across teams.

Data Analytics:

• Perform hands-on data extraction, transformation, and analysis using SQL, Python, Excel, or other analytics tools.
• Interpret complex data sets to identify trends, patterns, and actionable insights.
• Design and maintain dashboards and reports using BI tools (e.g., Power BI, Tableau, or similar).
• Validate data quality, accuracy, and integrity throughout the analysis process.
• Support decision-making by providing analytical insights and data-driven recommendations.

Required Skills & Qualifications:

• Proven experience (3+ years) managing data analytics or data-related projects.
• Strong understanding of project management methodologies (Agile, Scrum, Waterfall).
• Experience in stakeholder management and leading cross-functional teams.
• Hands-on experience with SQL, Python, or other data analysis languages.
• Proficiency in data visualization tools (Power BI, Tableau, or similar).
• Strong analytical and problem-solving skills with the ability to translate business needs into technical requirements.
• Excellent communication and interpersonal skills.
• Ability to manage multiple projects simultaneously and prioritize effectively.
• Bachelor's degree in Data Science, Computer Science, Business, or a related field (or equivalent experience).

Additional Details:

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Project Management and Information Technology
• Industries: IT Services and IT Consulting

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