Role : Project Manager with Data Analyst
Location : Northampton
Work Mode : Hybrid (twice in a week from office)
Job Description:
We are seeking aProject Manager with hands-on Data Analysis experienceto lead and deliver data-driven projects. This role requires a unique 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:
Project Management:
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.
Data Analytics:
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.
General:
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).
PMP, PRINCE2, or Agile certifications (preferred but not required).
