Data Analyst Project Manager

$63,000 - $147,000/Yr

Smiths Detection - Edgewood, MD

Full-time - Mid Level

Edgewood, MD

1,001-5,000 employees

Professional, Scientific, and Technical Services

About the position

The Project Manager/Data Analyst at Smiths Detection is responsible for managing and executing data-driven projects that enhance business processes and support strategic decision-making. This role combines project management with data analysis to ensure timely delivery of projects that align with business objectives, while also providing actionable insights through data analysis.

Responsibilities

• Lead and manage multiple data-centric projects from initiation to closure, ensuring alignment with business goals.
• Analyze complex datasets to identify trends, insights, and opportunities for process improvements.
• Develop and maintain project plans, including schedules, milestones, and resource allocation.
• Collaborate with cross-functional teams to ensure seamless integration of data insights into business processes.
• Ensure data accuracy, integrity, and consistency across all projects.
• Prepare and present reports and dashboards to senior leadership, providing actionable insights and recommendations.
• Identify and mitigate project risks, ensuring that potential issues are addressed proactively.
• Foster a culture of continuous improvement by leveraging data to optimize business operations.
• Serve as the primary liaison between technical teams and business stakeholders, translating business needs into technical requirements.

Requirements

• Bachelor's degree preferred and may be substituted for experience.
• 3 to 5 years of experience in project management, with a focus on data analysis and business intelligence.
• PMP (Project Management Professional) Certification or equivalent.
• Proficiency in data analysis tools such as SQL, Python, R, Tableau, or Power BI.
• Knowledge of project management methodologies (Black belt, Agile, Waterfall).
• Strong communication and interpersonal skills.
• Ability to translate complex data into actionable insights for non-technical stakeholders.
• Excellent problem-solving and analytical thinking abilities.

Nice-to-haves

• Certifications in data analysis tools or methodologies (e.g., SQL, Tableau, Python, R) are a plus.

Benefits

• Health insurance
• 401(k)
• Parental leave
• Employee assistance program