Text copied to clipboard!
Title
Text copied to clipboard!Project Manager - Data Analytics
Description
Text copied to clipboard!
We are looking for a highly skilled and motivated Project Manager with a strong background in Data Analytics to join our dynamic team. The ideal candidate will be responsible for overseeing data-driven projects from inception to completion, ensuring that they are completed on time, within scope, and within budget. This role requires a deep understanding of data analytics, project management methodologies, and the ability to communicate complex data insights to non-technical stakeholders. The Project Manager - Data Analytics will work closely with cross-functional teams, including data scientists, engineers, and business analysts, to deliver actionable insights that drive business growth and efficiency. Key responsibilities include defining project scope, developing detailed project plans, managing resources, and mitigating risks. The successful candidate will have a proven track record of managing multiple projects simultaneously, excellent problem-solving skills, and the ability to adapt to changing priorities. This role also involves staying up-to-date with the latest trends and technologies in data analytics to continuously improve our processes and deliverables. If you are passionate about leveraging data to make informed business decisions and have the skills to lead complex projects, we would love to hear from you.
Responsibilities
Text copied to clipboard!- Define project scope and objectives.
- Develop detailed project plans and timelines.
- Coordinate internal resources and third parties/vendors for project execution.
- Ensure projects are delivered on time, within scope, and within budget.
- Manage changes to project scope, schedule, and costs.
- Measure project performance using appropriate tools and techniques.
- Report and escalate issues to management as needed.
- Perform risk management to minimize project risks.
- Create and maintain comprehensive project documentation.
- Communicate complex data insights to non-technical stakeholders.
- Collaborate with data scientists, engineers, and business analysts.
- Ensure resource availability and allocation.
- Track project performance, specifically to analyze the successful completion of short and long-term goals.
- Develop spreadsheets, diagrams, and process maps to document needs.
- Use and continually develop leadership skills.
- Attend conferences and training as required to maintain proficiency.
- Perform other related duties as assigned.
Requirements
Text copied to clipboard!- Bachelor's degree in Computer Science, Data Analytics, Business Administration, or related field.
- Proven working experience as a Project Manager in the data analytics field.
- Strong understanding of data analytics and business intelligence tools.
- Excellent knowledge of project management methodologies (e.g., Agile, Scrum).
- Strong problem-solving skills and attention to detail.
- Excellent communication and interpersonal skills.
- Ability to manage multiple projects simultaneously.
- Proficiency in project management software tools.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong analytical and critical thinking skills.
- Ability to work effectively in a team environment.
- Strong organizational skills and the ability to prioritize tasks.
- Experience with SQL and other data querying languages.
- Knowledge of statistical analysis and data mining techniques.
- Ability to adapt to changing priorities and work under pressure.
- Strong leadership and decision-making skills.
- Experience in risk management and quality assurance.
- Ability to stay up-to-date with the latest trends and technologies in data analytics.
Potential interview questions
Text copied to clipboard!- Can you describe your experience managing data analytics projects?
- How do you ensure that a project stays on track and within budget?
- Can you provide an example of a complex data insight you communicated to a non-technical stakeholder?
- What project management methodologies are you most familiar with?
- How do you handle changes in project scope or unexpected challenges?
- What tools and software do you use for project management?
- How do you prioritize tasks when managing multiple projects?
- Can you describe a time when you had to mitigate a significant project risk?
- How do you stay current with the latest trends and technologies in data analytics?
- What strategies do you use to ensure effective collaboration among cross-functional teams?
