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Data Science Visualization Jobs in Houston, TX (NOW HIRING)

Foxconn Assembly LLC

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Proficiency in Tableau or other data visualization tools. Educational Requirements: * Bachelor's degree in Data Engineering, Data Science, Data Management, Information Systems or related fields.

Foxconn Industrial Internet - FII

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Proficiency in Tableau or other data visualization tools. Educational Requirements: * Bachelor's degree in Data Engineering, Data Science, Data Management, Information Systems or related fields.

Microvast

BMS Data Analysis Engineer

Houston, TX · On-site

$109K - $131K/yr

... science libraries (numpy, pandas, scipy, scikit-learn). • Hands-on experience with data visualization tools (e.g., Power BI, Tableau, matplotlib, Plotly). • Good understanding of lithium-ion ...

Forum Energy Technologies

AI Architect

Houston, TX · On-site

$60.75 - $78.25/hr

Required : • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a ... visualization tools (e.g., Power BI / SSRS) and SQL. • Experience with multi-agent systems or ...

ExxonMobil

Data Engineer

Spring, TX · On-site

$105K - $126K/yr

... visualization, automation, data processing, and data management, concentrating on developing ... Work with domain experts, data scientists, engineers to understand needs, constraints, and ...

ExxonMobil

Data Engineer

Spring, TX · On-site

$101K - $122K/yr

... visualization, automation, data processing, and data management, concentrating on developing ... Work with domain experts, data scientists, engineers to understand needs, constraints, and ...

ExxonMobil

Data Engineer

Spring, TX · On-site

$105K - $126K/yr

... visualization, automation, data processing, and data management, concentrating on developing ... Work with domain experts, data scientists, engineers to understand needs, constraints, and ...

Foxconn Industrial Internet - FII

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

... Science, Data Management, Information Systems or related fields. Preferred : • Familiar with ... visualization tools. • Any software programming certifications are a plus. Company : Fii ...

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Showing results 41-60

All JobsData Science Visualization JobsData Science Visualization Jobs in Houston, TX

Data Science Visualization information

See Houston, TX salary details

$51.6K

$104.5K

$154.2K

How much do data science visualization jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data science visualization in Houston, TX is $104,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $117,500.00 per year, depending on experience, location, and employer.

What is data science visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

What are the key skills and qualifications needed to thrive as a data science visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

How does a data science visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.
What are popular job titles related to Data Science Visualization jobs in Houston, TX? For Data Science Visualization jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in Houston, TX look for? The top searched job categories for Data Science Visualization jobs in Houston, TX are:
What cities near Houston, TX are hiring for Data Science Visualization jobs? Cities near Houston, TX with the most Data Science Visualization job openings:
Data Science Visualization jobs near you
Infographic showing various Data Science Visualization job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $104,522 per year, or $50.3 per hour.

Data Analyst I

San Jacinto College District

Pasadena, TX

Full-time

Posted 21 days ago

Job description

PRIMARY FUNCTION:   
The Data Analyst I supports Institutional Research and Data Science by accessing and preparing structured data and by developing, maintaining, and improving dashboards, reports, scorecards, recurring analyses, and metric-based decision-support tools. The position assists with translating institutional priorities and stakeholder questions into reliable data products, metric definitions, descriptive analyses, and visualizations that support planning, institutional effectiveness, accreditation, accountability, operational improvement, and student success. Working within established data standards and under guidance for more complex assignments, the position contributes to accurate, consistent, and responsible use of institutional data, including verification, documentation, human review, and escalation of AI-assisted analytical outputs before they are used or communicated.  
       
Essential Job Functions:     
  • Access, query, join, and prepare structured data from approved institutional data sources, semantic models, or reporting schemas using tools such as SQL, Python, SAS, Power BI, or comparable platforms, under guidance from senior analysts or data partners.
  • Develop, maintain, and improve dashboards, reports, scorecards, assigned official-reporting components, and other data products using approved enterprise reporting and visualization tools.
  • Support standardized metrics, key performance indicators, recurring institutional reporting, and assigned official, statutory, regulatory, accreditation, and accountability reporting by applying established definitions, calculation methods, submission specifications, documentation requirements, validation procedures, and reporting standards.
  • Work with internal stakeholders to clarify reporting needs, translate business questions into data requirements, and produce clear, decision-useful outputs.
  • Prepare descriptive analyses, summaries, trends, and visualizations for operational, strategic, compliance-related, and student success purposes.
  • Apply established business rules, data definitions, governance standards, privacy requirements, security expectations, records-management practices, and Responsible AI-supported analytics procedures, including documentation of AI assistance, preservation of required human review, verification against approved data and metric definitions, and escalation of unsupported or inappropriate outputs.
  • Validate dashboards, reports, datasets, analytical outputs, and AI-assisted summaries or visualizations; compare outputs with approved source data, definitions, and metrics; perform routine quality and reasonableness checks; document potential inaccuracies, unsupported conclusions, misleading language, bias or fairness concerns, privacy issues, or limitations; and escalate complex or consequential issues as appropriate.
  • Document metric definitions, report logic, calculation methods, data sources, assumptions, limitations, recurring production procedures, use of AI-assisted methods, validation performed, human-review decisions, and unresolved concerns to support transparency, consistency, auditability, and continuity.
  • Monitor the reliability, usability, and consistency of dashboards, reports, and metric outputs and contribute to continuous improvement of institutional data products.
  • Support institutional effectiveness, accreditation, planning, accountability, official reporting, and student-success initiatives through recurring and ad hoc analyses; communicate findings and limitations clearly to technical and nontechnical audiences; and avoid presenting AI-generated content as verified institutional analysis without appropriate validation and professional review.
       
Additional Job Functions:     
  • Participate in professional development related to analytics, visualization, data governance, institutional data use, and responsible AI-supported analytics.
  • Serve on councils and committees as requested to provide institutional research expertise and support for college-wide projects or initiatives.
  • Other duties as assigned

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