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Analytics Project Manager Jobs in Texas (NOW HIRING)

Bowman Consulting

Project Manager - Aviation

Dallas, TX · On-site

Analyze project scope, review plans and specifications, and coordinate project execution to ensure ... Monitor and manage project schedules, budgets, forecasts, risks, and resource allocation throughout ...

SAIC

Project Analyst

San Antonio, TX · On-site +1

$105K/yr

Familiarity with aviation training systems, human performance optimization, simulation/VR technologies, or training data analytics. * Project management certification (CAPM, PMP) or continuous ...

Forhyre

Infrastructure Project Manager

Dallas, TX

Project managers should have a background in business skills, management, budgeting and analysis. Project managers are skilled at getting the best out of the people and projects that they oversee.

SAIC

Project Analyst

San Antonio, TX · On-site

$105K/yr

Familiarity with aviation training systems, human performance optimization, simulation/VR technologies, or training data analytics. * Project management certification (CAPM, PMP) or continuous ...

SAIC

Project Analyst

Randolph, TX · On-site +1

$105K/yr

Familiarity with aviation training systems, human performance optimization, simulation/VR technologies, or training data analytics. * Project management certification (CAPM, PMP) or continuous ...

Science Applications International Corporation

$105K/yr

Familiarity with aviation training systems, human performance optimization, simulation/VR technologies, or training data analytics. * Project management certification (CAPM, PMP) or continuous ...

Last Energy

Technical Project Manager

Austin, TX · On-site

Analyzing project risks * Supporting the creation of the project plan with cross-functional teams ... Managing the overall development schedule and critical path * Identify and evaluate technical risks ...

Last Energy

Technical Project Manager

Austin, TX

Analyzing project risks * Supporting the creation of the project plan with cross-functional teams ... Managing the overall development schedule and critical path * Identify and evaluate technical risks ...

Last Energy

Technical Project Manager

Austin, TX · On-site

Analyzing project risks * Supporting the creation of the project plan with cross-functional teams ... Managing the overall development schedule and critical path * Identify and evaluate technical risks ...

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All JobsAnalytics Project JobsAnalytics Project Manager JobsAnalytics Project Manager Jobs in Texas

Analytics Project Manager information

See Texas salary details

$35.9K

$95.7K

$150.9K

How much do analytics project manager jobs pay per year?

As of Jul 20, 2026, the average yearly pay for analytics project manager in Texas is $95,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,100.00 and $114,600.00 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 are the most commonly searched types of Analytics Project jobs in Texas? The most popular types of Analytics Project jobs in Texas are:
What cities in Texas are hiring for Analytics Project Manager jobs? Cities in Texas with the most Analytics Project Manager job openings:
Analytics Project Manager jobs near you
Infographic showing various Analytics Project Manager job openings in Texas as of July 2026, with employment types broken down into 1% Internship, 92% Full Time, 4% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $95,664 per year, or $46 per hour.

Project Manager

Texas State Library and Archives Commision

Austin, TX • On-site

Full-time

Re-posted 17 days ago

Job description

Title: Technical Project Manager
Client Name : Texas Rail Road Commissions
Location : Austin, TX (Remote)
Duration : Long Term Contract
The Candidate will lead cross-functional teams through the execution of complex technical Reports and Extracts-related projects, including those primarily from the Mainframe Transformation initiative. We're seeking a Technical Project Manager with deep experience delivering enterprise reporting and analytics solutions. In this role, you will lead cross-functional teams through the full project lifecycle-requirements gathering, design, development, testing, and deployment of dashboards, ETL pipelines, and reporting platforms (e.g., Power BI, SSRS). You'll partner closely with business stakeholders, data engineers, and QA to translate reporting needs into scalable technical solutions, ensuring on-time delivery and data quality.
The Candidate will be responsible for delivering multiple Reports and Extracts-related projects on schedule and within approved scope by applying project management best practices, ensuring scope alignment, managing stakeholder expectations, and tracking project risks and issues. The ideal candidate will have technical acumen to understand architecture and integration efforts from multiple database technologies and provide oversight across SDLC phases of report and extract development using Waterfall, Agile, and Hybrid methodologies.
Key Responsibilities
    • Project Planning & Execution
      • Develop and maintain detailed project plans, schedules, and resource allocations for reporting initiatives.
      • Define clear milestones: requirements sign-off, data mapping, ETL or ELT build, report development, quality testing, and production cutover.

    • Requirements & Stakeholder Management
      • Facilitate workshops with business units to elicit reporting requirements and KPI definitions.
      • Document functional specifications, data mapping for source and target, data dictionaries, including data quality and data integrity within the acceptance criteria; manage change control when scope shifts.
      • Engage with cross-functional teams, including quality, to ensure alignment of requirements and DW, DL, and ODS systems design.
      • Develop a deep understanding of the RRC DW, DL, and ODS systems processes and operational challenges.
      • Experience initiating and completing business intelligence (BI) reports and dashboards, data warehousing and/or analytical projects with minimal guidance
      • Simplify complex issues and deliver clear and concise information to all level of technical and business users within RRC.
      • Negotiate with business users to define project scope for development and deployment of new reports and extracts, from the pre-determined mainframe reports and extract scope. Schedule and deliverables must follow a strict path as it must be coordinated with other efforts. The estimation of technical efforts and identification of risks must be known and tracked for each effort.
      • Foster and maintain strong relationships with business users and IT Technical staff.
    • Technical Oversight
      • Coordinate with data architects and engineers on ETL design (IDMC, SQL, SSIS, SSRS, Azure Data Factory, Mulesoft, GoAnywhere, and the Scheduling Tool) and data modeling (snowflake/star schemas, Slowly Changing Dimensions, Normalizations, cubes, dashboards, etc.).
      • Oversee report/dashboard development in Power BI, and possibly SSRS, ensuring performance tuning and security (row-level).
      • Experience in Enterprise Datawarehouse, Data Lake, Datamart, ODS, Normalization, VSAM files.
      • Work with stakeholders to build and lead a high-quality BI and Data Warehousing team, designing it to scale
      • Manage data warehouse plans, drive data quality, and ensure operational efficiency is maintained when new reports are developed
      • Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve
      • Single Point of Contact (SPOC) for Cross functional interface for Data collection and Analysis critical for moving Reports and Extract off of the RRC mainframe
      • Design, build, and launch new BI reports and pipelines in production; Deliver high-impact dashboards and data visualizations
      • Responsible for ensuring all department and RRC driven Reporting requirements are completed within SLA, while identifying any improvements in the data governance and report-related processes in place
      • Work with large and complex data sets to solve a wide array of challenging problems
      • Experience with data querying languages (e.g. SQL), ETL Tools (IDMC), Reporting Tools (PowerBI, OBIEE) and development experience in at least one object-oriented language (Python, Java, etc.)
    • Quality Assurance & Deployment
      • Establish test plans for data accuracy, performance, and user acceptance.
      • Manage release pipelines using CI/CD (e.g., Azure DevOps), coordinate cutover, and PM support hypercare for 30 days post go-live.
    • Risk & Issue Management
      • Identify project risks (data latency, source system changes, user training) and drive mitigation strategies.
      • Provide regular status updates and escalations to leadership and governance forums.
    • Continuous Improvement
      • Develop best-practices playbooks for reporting governance, version control, and documentation.
      • Facilitate post-project retrospectives to capture lessons learned and optimize future delivery.

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