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Analytics Project Manager Jobs in Spring, TX (NOW HIRING)

Track project performance, specifically to analyze the successful completion of short and long-term ... Project Management Professional (PMP) / Lean Six Sigma certification is a plus. Compensation ...

Track project performance, specifically to analyze the successful completion of short and long-term ... Project Management Professional (PMP) / Lean Six Sigma certification is a plus. Compensation ...

The Senior Project Manager is accountable for the overall direction, coordination, implementation ... Analyzing project profitability, revenue, margins, bill rates, efficiency, and * Additional duties ...

The Senior Project Manager is accountable for the overall direction, coordination, implementation ... Analyzing project profitability, revenue, margins, bill rates, efficiency, and * Additional duties ...

The Project Manager will secure and analyze quotations, negotiates prices and terms with suppliers. They will work with end users to ensure the timely execution of products delivered. JOB ...

The Project Manager will secure and analyze quotations, negotiates prices and terms with suppliers. They will work with end users to ensure the timely execution of products delivered. JOB ...

The Project Manager will secure and analyze quotations, negotiates prices and terms with suppliers. They will work with end users to ensure the timely execution of products delivered. JOB ...

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Showing results 1-20

Analytics Project Manager information

See Spring, TX salary details

$34.3K

$91.4K

$144.2K

How much do analytics project manager jobs pay per year?

As of Jul 20, 2026, the average yearly pay for analytics project manager in Spring, TX is $91,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $109,500.00 per year, depending on experience, location, and employer.

How does an Analytics Project Manager typically collaborate with data scientists and business stakeholders during a project?

An Analytics Project Manager acts as a bridge between technical teams, such as data scientists and engineers, and business stakeholders. They facilitate clear communication to ensure that project goals align with business objectives, translate complex analytics concepts into actionable business decisions, and manage timelines and resource allocation. Regular meetings, progress updates, and feedback sessions are key parts of the collaboration process, enabling the team to address challenges early and deliver impactful insights. This role requires balancing technical feasibility with strategic priorities, making strong interpersonal and organizational skills essential.

What is the difference between Analytics Project Manager vs Data Analyst?

AspectAnalytics Project ManagerData Analyst
Required CredentialsBachelor's degree in Business, Analytics, or related field; often PMP or project management certificationsBachelor's degree in Statistics, Mathematics, or related field; may have certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentLeads projects, coordinates teams, manages timelines in corporate or consulting settingsAnalyzes data, creates reports, visualizations in various industries
Employer & Industry UsageUsed in tech, finance, healthcare, consulting firms for managing analytics projectsCommon across industries for data interpretation and reporting

The main difference is that an Analytics Project Manager oversees analytics projects, manages teams, and ensures project delivery, while a Data Analyst focuses on analyzing data, generating insights, and creating reports. Both roles require strong analytical skills, but their responsibilities and focus areas differ significantly.

What are the key skills and qualifications needed to thrive as an Analytics Project Manager, and why are they important?

To thrive as an Analytics Project Manager, you need strong project management skills, experience with data analytics, and a relevant degree such as in business, statistics, or computer science. Familiarity with analytics platforms (like Tableau, Power BI), project management tools (such as Jira or Asana), and certifications like PMP or Agile are typically expected. Outstanding communication, leadership, and problem-solving abilities help bridge technical teams and stakeholders, ensuring project alignment. These skills enable effective delivery of data-driven projects that support organizational goals and continuous improvement.

What does an Analytics Project Manager do?

An Analytics Project Manager oversees data-driven projects from initiation to completion, ensuring that analytics initiatives meet organizational goals. They collaborate with data analysts, data scientists, and business stakeholders to define project scope, set timelines, allocate resources, and monitor progress. Their responsibilities often include translating business needs into technical requirements, managing budgets, and delivering actionable insights to guide decision-making. They play a key role in ensuring projects are delivered on time, within budget, and with the desired impact.
What cities near Spring, TX are hiring for Analytics Project Manager jobs? Cities near Spring, TX with the most Analytics Project Manager job openings:
Business Analytics Project Lead

Business Analytics Project Lead

Linde

The Woodlands, TX

Other

Re-posted 15 days ago


Linde rating

8.0

Company rating: 8.0 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

33rd of 92 rated chemical manufacturers


Job description

  • You will support end-to-end delivery of business analytics and digital transformation projects, ensuring alignment with business objectives
  • Additionally, track project progress, timelines, risks, and dependencies to drive successful execution and on-time delivery
  • You will develop project plans, milestones, and status updates, while collaborating with cross-functional teams to understand business needs
  • Furthermore, gather, document, and validate business requirements, translating them into actionable deliverables for technical teams
  • You will act as a liaison between business users and technical teams, ensuring clear communication and stakeholder alignment
  • Additionally, analyze data to identify business issues, opportunities, and areas for improvement, while supporting development of dashboards, reports, and analytical models
  • You will work closely with data scientists and IT teams to implement data-driven solutions, ensuring they meet business requirements and deliver measurable value
  • Lastly, support digital transformation initiatives by identifying process inefficiencies, implementing new tools and platforms, contributing to change management and training, and maintaining documentation, testing, and performance tracking of analytics initiatives

What Linde employees say

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