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Data Visualization Project Manager Jobs in Texas

Real Soft, Inc.

CW-Data Analyst

Frisco, TX · On-site

Lead Data Visualization projects in creation activities to ensure data is defined, is engineered for ongoing support, and is fit for use case purposes * Create Data products by collecting ...

Daman Inc

Data Visualization Specialist (Lead)

Austin, TX · On-site

... Visualization Specialist at Daman is an expert in defining the user interface layers for all data ... Must have full life-cycle project experience with demonstrated capabilities covering the following ...

New

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Reporting and Visualization : Create comprehensive reports and dashboards using data visualization ... Work closely with engineering teams, project managers, and other departments to understand their ...

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Data Visualization Project Manager information

What is a data visualization project manager?

A Data Visualization Project Manager is a professional who oversees projects focused on turning complex data into visual formats such as charts, dashboards, and infographics. They coordinate teams of data analysts, designers, and developers to ensure that data is presented in a clear and effective way for stakeholders. These managers are responsible for project planning, timeline management, and ensuring that the final visualizations meet business goals and user needs. Strong communication skills and a good understanding of both data analysis and design principles are important for this role.

What are the key skills and qualifications needed to thrive as a data visualization project manager?

To thrive as a Data Visualization Project Manager, you need expertise in data analysis, project management, and data visualization principles, often supported by a degree in a related field and experience managing analytics projects. Familiarity with tools like Tableau, Power BI, and project management software such as Jira or Asana is typically required, along with knowledge of data storytelling techniques. Strong communication, leadership, and problem-solving skills help ensure smooth collaboration between technical teams and stakeholders. These capabilities are essential for delivering impactful visual analytics solutions on time and aligning outcomes with business objectives.

How does a data visualization project manager typically collaborate with data analysts and stakeholders during a project?

A Data Visualization Project Manager acts as a bridge between data analysts, who generate insights from raw data, and stakeholders, who rely on visualizations to inform decisions. They facilitate clear communication by gathering requirements, setting timelines, and ensuring that visual outputs align with stakeholder needs. Regular check-ins, feedback sessions, and collaborative workshops are common practices to keep everyone aligned and address any challenges early. This collaborative approach ensures that the final visualizations are both accurate and actionable, helping drive informed business decisions.

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

AspectData Visualization Project ManagerData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; project management certifications (e.g., PMP)Bachelor's or higher in Data Science, Statistics, or related field; often certifications in analytics tools
Work EnvironmentLeads projects, coordinates teams, manages timelines in corporate or tech settingsAnalyzes data, creates reports, and visualizations in various industries
Employer & Industry UsageUsed in tech, finance, marketing firms managing data projectsCommon across industries for data analysis and reporting

The Data Visualization Project Manager focuses on overseeing data visualization projects, coordinating teams, and ensuring timely delivery. In contrast, a Data Analyst primarily analyzes data and creates visual reports. Both roles require strong analytical skills, but the project manager emphasizes leadership and project coordination, while the analyst emphasizes data interpretation and visualization skills.

What are popular job titles related to Data Visualization Project Manager jobs in Texas?

For Data Visualization Project Manager jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Visualization Project Manager jobs in Texas look for?

The top searched job categories for Data Visualization Project Manager jobs in Texas are:

What cities in Texas are hiring for Data Visualization Project Manager jobs?

Cities in Texas with the most Data Visualization Project Manager job openings:

Data Visualization Project Manager jobs near you
Infographic showing various Data Visualization Project Manager job openings in Texas as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Associate Analytics Engineer - Data & Visualization

Austin, TX

SHI
IT Services • 5 - 10K employees
Learn more about SHIexternal

$58K - $59K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago

New

Job description

About Us

Since 1989, SHI International Corp. has helped organizations change the world through technology. We've grown every year since, and today we're proud to be a $16 billion global provider of IT solutions and services.

Over 17,000 organizations worldwide rely on SHI's concierge approach to help them solve what's next.But the heartbeat of SHI is our employees - all 7,000 of them.If you join our team, you'll enjoy:

  • Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.

  • Continuous professional growth and leadership opportunities.

  • Health, wellness, and financial benefits to offer peace of mind to you and your family.

  • World-class facilities and the technology you need to thrive - in our offices or yours.

Job SummaryThe Associate Analytics Engineer - Data & Visualization supports the development, maintenance, and continuous improvement of dashboards, reporting solutions, and data models that enable business teams to make informed, datadriven decisions. This entrylevel role is designed for earlycareer professionals looking to build a strong foundation in analytics engineering, business intelligence, and data visualization within a modern, cloudbased data environment.
Working closely with senior team members, this role helps transform raw data into trusted, actionable insights while learning best practices related to data modeling, dashboard design, governance, and analytics delivery.

Role Description

Dashboard & Visualization Support

  • Support the development and maintenance of dashboards and reports using tools such as Microsoft Power BI

  • Assist with implementing dashboard enhancements, bug fixes, and usability improvements

  • Help ensure dashboards are visually clear, intuitive, and aligned with established reporting standards

  • Validate dashboard data accuracy and support testing activities prior to releases

  • Support recurring reporting and respond to ad hoc data requests from business stakeholders

Data Engineering & Transformation Support

  • Assist in building and maintaining datasets, transformation logic, and curated reporting tables

  • Support data quality validation and troubleshooting across reporting pipelines

  • Learn and apply analytics engineering best practices related to data structures, naming conventions, and governance

  • Help maintain documentation for datasets, business rules, and KPI definitions

  • Support the broader analytics architecture across platforms such as Microsoft Fabric, SQLbased environments, and cloud data platforms

Analytics Operations & Delivery

  • Participate in sprint planning, backlog refinement, and regular status updates

  • Track work and updates using project management tools such as Asana

  • Collaborate with senior analytics engineers and analysts to support project delivery timelines

  • Assist with production support and issue resolution for dashboards and reporting solutions

  • Learn how analytics solutions integrate with enterprise business processes and workflows

What Success Looks Like

  • Produces accurate, reliable, and wellstructured reporting outputs

  • Demonstrates curiosity, initiative, and continuous learning in analytics engineering concepts

  • Contributes positively to team collaboration and delivery goals

  • Builds stronger technical and business understanding over time

  • Develops confidence in independently supporting dashboards, datasets, and reporting workflows


Behaviors and Competencies

  • Analytical Thinking: Can apply critical thinking to analyze data, identify patterns, and make basic inferences.

  • Data Analysis: Can identify patterns and trends in data, propose hypotheses, and use statistical techniques to test them.

  • Data Literacy: Can identify relevant data sources, collect data, and use basic tools to interpret and report findings.

  • Critical Thinking: Can analyze and interpret data to inform decision-making, and propose solutions based on logical reasoning.

  • Attention to Detail: Can identify errors or inconsistencies in work and make necessary corrections.

  • Communication: Can effectively communicate complex ideas and information, and can adapt communication style to the audience.

  • Problem-Solving: Can identify problems, propose solutions, and take action to resolve them without explicit instructions.

  • Technical Expertise: Can apply technical knowledge and skills effectively in most situations, with occasional guidance.

  • Time Management: Can generally use time effectively and is working towards improving task prioritization and deadline management.

  • Continuous Improvement: Can identify moderate areas for improvement and implement moderate changes.


Skill Level Requirements

  • Foundational analytics and data engineering skill set

  • Ability to work with SQL and relational database structures

  • Data visualization and reporting ability

  • Analytical thinking and attention to detail

  • Problemsolving and troubleshooting skills

  • Clear written and verbal communication skills

  • Collaboration skills within crossfunctional technical teams

  • Ability to manage multiple tasks in a structured, sprintbased environment

  • Willingness to learn new technologies and analytics best practices


Other Requirements

  • Bachelor's degree or equivalent experience required

  • 1-2 years of experience in analytics engineering, business intelligence development, or data modeling roles

  • Foundational understanding of SQL and relational databases

  • Exposure to data visualization or reporting tools through coursework, internships, or personal projects

Preferred:

  • Internship, academic, or project experience using Microsoft Power BI or similar business intelligence tools

  • Exposure to technologies such as SQL, Python, PySpark, or cloudbased data platforms

  • Familiarity with analytics concepts such as ETL/ELT, data modeling, or dashboard design

  • Interest in analytics engineering, business intelligence, or data visualization as a longterm career path

The estimated annual pay range for this position is $75,000 - $95,000 which includes a base salary and bonus. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.

Equal Employment Opportunity - M/F/Disability/Protected Veteran Status

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