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Entry Level Data Visualization Jobs in Texas (NOW HIRING)

Managed Staffing

Data analyst I

Austin, TX · On-site

$25 - $28/hr

Power BI / Data Visualization. Entry level C++ and/or CSS. GIS. AutoCAD. Revit. LOCATION INFORMATION Service Center 3505 Montopolis Dr. Austin Texas 78744 COST ALLOCATION CODE SpeedChart Code Code ...

Eagle

Analytical Data Review Scientist

Houston, TX · On-site

... visualization, as well as a strong understanding of laboratory processes, SOP compliance, and ... in entry-level or laboratory support positions. * Perform other duties and special projects ...

Eagle

Analytical Data Review Scientist

Houston, TX

... visualization, as well as a strong understanding of laboratory processes, SOP compliance, and ... in entry-level or laboratory support positions. * Perform other duties and special projects ...

Strike

AI Analyst I

Spring, TX · On-site

This entry-level role is ideal for candidates with a strong analytical foundation who are eager to ... Experience with Excel and/or data visualization tools (Power BI, etc.). * Strong attention to ...

Strike

AI Analyst I

Spring, TX · On-site

This entry-level role is ideal for candidates with a strong analytical foundation who are eager to ... Experience with Excel and/or data visualization tools (Power BI, etc.). * Strong attention to ...

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How much do entry level data visualization jobs pay per hour?

As of May 29, 2026, the average hourly pay for entry level data visualization in Texas is $17.75, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $19.95 per hour, depending on experience, location, and employer.

What is an Entry Level Data Visualization job?

An Entry Level Data Visualization job involves creating charts, graphs, and dashboards to help analyze and communicate data effectively. Professionals in this role use tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn) to present data in a clear and visually appealing way. They often work with data analysts and business teams to transform raw data into insights that drive decision-making. Strong analytical skills, attention to detail, and basic programming or SQL knowledge can be helpful in this role.

What are the key skills and qualifications needed to thrive in the Entry Level Data Visualization position, and why are they important?

To thrive as an Entry Level Data Visualization professional, you need a solid understanding of data analysis, basic statistical concepts, and visual storytelling, typically supported by a bachelor’s degree in a related field. Familiarity with tools such as Tableau, Power BI, or Excel, and basic programming knowledge in Python or R, are commonly expected and may be enhanced by certifications in data analytics or visualization. Strong communication, attention to detail, and a collaborative attitude help you explain complex data insights to diverse audiences and work effectively within cross-functional teams. These skills and qualities are essential for translating data into actionable insights and creating impactful visuals that inform business decision-making.

What are the typical day-to-day responsibilities of someone in an Entry Level Data Visualization role?

Entry Level Data Visualization professionals usually spend their days gathering data from various sources, cleaning or preparing it for analysis, and building charts, graphs, or dashboards to present findings. You’ll often collaborate with analysts, project managers, or business teams to understand project requirements and iterate on visual solutions based on feedback. Reviewing data accuracy, updating reports, and attending team meetings to discuss progress or new projects are also common. This role offers a great opportunity to sharpen both technical and communication skills while playing a key part in how your organization makes data-driven decisions.
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Entry Level Data Visualization jobs near you
Associate Analytics Engineer - Data & Visualization

Associate Analytics Engineer - Data & Visualization

SHI International Corp.

Austin, TX • On-site

$58.50K - $59K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 16 days ago

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 Summary
The 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, data-driven decisions. This entry-level role is designed for early-career professionals looking to build a strong foundation in analytics engineering, business intelligence, and data visualization within a modern, cloud-based 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. This position directly supports the newly combined ITAM, FinOps, and MSOS organization, known as Spend Optimization Services (SOS).
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, SQL-based 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 well-structured 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
  • Problem-solving and troubleshooting skills
  • Clear written and verbal communication skills
  • Collaboration skills within cross-functional technical teams
  • Ability to manage multiple tasks in a structured, sprint-based 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 cloud-based 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 long-term 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
SHI International logo

About SHI International

Sourced by ZipRecruiter

SHI International, located in Somerset, NJ, US, is a global provider of technology products and services. Operating in the Information Technology and Services industry, SHI offers comprehensive IT solutions ranging from software and hardware procurement, deployment planning, cloud-based services, IT asset management, and more to a diverse client base. Founded in 1989 by Thai Lee, the company has grown exponentially, amassing a deep pool of expertise and earning recognition as one of North America's top 15 largest IT solutions providers. Driven by a mission to help customers select, deploy, and manage technologies that drive productivity, profitability, and innovation, SHI cherishes its reputation as a cost-effective, customer-centric technology partner.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Somerset, NJ, US

Year founded

1989

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