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Data Visualization Lead Jobs in Texas (NOW HIRING)

Experience with data visualization tools (D3.js, Bokeh, Plotly, or similar) * Domain Knowledge ... Lead Proof of Concept (PoC) projects including: * Automated information extraction from ...

Lead Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Experience with data visualization tools such as Tableau or Power BI. Experience with big data ... Ability to lead and manage projects. Job Family Data Analytics Company Vistra Corporate Services ...

Lead Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Experience with data visualization tools such as Tableau or Power BI. Experience with big data ... Ability to lead and manage projects. Job Family Data Analytics Company Vistra Corporate Services ...

Lead Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Experience with data visualization tools such as Tableau or Power BI. Experience with big data ... Ability to lead and manage projects. Job Family Data Analytics Company Vistra Corporate Services ...

Execute and continuously enhance the enterprise cybersecurity data visualization strategy, delivering selfservice insights that enable executives, security leaders, and technology teams to act on ...

Lead Data Engineer

Irving, TX · On-site

$109K - $132K/yr

... with data visualization tools such as Tableau or Power BI. • Experience with big data ... lead and manage projects. Job Family Data Analytics Company Vistra Corporate Services Company ...

We are looking for the right people people who want to innovate, achieve, grow and lead. We attract ... using data visualization tools. Experience writing code in Python, R, Scala, and distributed ...

We are looking for the right people people who want to innovate, achieve, grow and lead. We attract ... using data visualization tools. Experience writing code in Python, R, Scala, and distributed ...

Job Title Lead Data Analyst Agency Texas A&M Agrilife Research Department Dallas Proposed Minimum ... Proficiency in statistical programming languages (e.g., R, SPSS, Stata, SAS), data visualization ...

Job Title Lead Data Analyst Agency Texas A&M Agrilife Research Department Dallas Proposed Minimum ... Proficiency in statistical programming languages (e.g., R, SPSS, Stata, SAS), data visualization ...

Showing results 21-40

Data Visualization Lead information

What is a data visualization lead?

A Data Visualization Lead is responsible for overseeing the design and implementation of visual representations of data within an organization. They work closely with data analysts, engineers, and business stakeholders to translate complex data sets into interactive charts, dashboards, and reports that inform decision-making. In addition to technical expertise in data visualization tools and programming languages, they provide leadership to a team, set best practices, and ensure that data visualizations are accurate, accessible, and aligned with business goals.

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

To thrive as a Data Visualization Lead, you need strong analytical skills, expertise in data visualization principles, and experience with data analysis, often supported by a degree in computer science, statistics, or a related field. Proficiency with tools like Tableau, Power BI, D3.js, and familiarity with data management systems are typically required. Exceptional communication, storytelling, and leadership abilities help translate complex data into actionable insights for diverse audiences. These skills are crucial for driving data-informed decision-making and effectively leading visualization projects that support organizational goals.

How does a data visualization lead typically collaborate with cross-functional teams to deliver impactful visual analytics solutions?

A Data Visualization Lead works closely with data scientists, business analysts, and stakeholders to translate complex datasets into clear, actionable visualizations. They often facilitate workshops to understand business requirements and iterate on design prototypes based on feedback. Regular collaboration ensures alignment on project goals and helps maintain data accuracy and usability. Effective communication and adaptability are key, as the role bridges technical and non-technical team members to deliver solutions that drive decision-making.

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

AspectData Visualization LeadData Analyst
Required CredentialsBachelor's or higher in Data Science, Analytics, or related field; proficiency in visualization toolsBachelor's in Data, Statistics, or related field; strong analytical skills
Work EnvironmentLeads visualization projects, collaborates with teams, oversees visualization standardsAnalyzes data, creates reports, supports decision-making
Employer & Industry UsageTech companies, finance, marketing, where data storytelling is keyBroadly used across industries for data analysis and reporting

The Data Visualization Lead focuses on managing visualization projects and leading teams, while Data Analysts primarily analyze data and generate reports. Both roles require strong analytical skills and familiarity with visualization tools, but the Lead emphasizes leadership and strategic visualization development.

What cities in Texas are hiring for Data Visualization Lead jobs?

Cities in Texas with the most Data Visualization Lead job openings:

Infographic showing various Data Visualization Lead job openings in Texas as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Data Scientist

Houston, TX • On-site

Beth Page tech
Recruiting and Staffing Services • 11 - 50 employees

Contractor

Re-posted 21 days ago


Job description

Job Title: Data Scientist

Location: Houston, TX (Fulltime)

Environment: Standard, 5-days onsite

Job Description :

Must-Have (Technical Expertise & Core Responsibilities)

  • Data Science & Machine Learning:
    • Strong foundation in mathematics, statistics, and machine learning
    • Experience with exploring and extracting insights from multi-dimensional datasets
    • Proficiency in Python (clean, modular, well-documented code)
    • Experience with data visualization tools (D3.js, Bokeh, Plotly, or similar)
  • Domain Knowledge:
    • Ability to understand commodity trading/energy sector datasets and business needs
    • Experience translating complex models into actionable commercial insights

Core Responsibilities:

  • Develop and implement machine learning models to transform energy trading operations
  • Lead Proof of Concept (PoC) projects including:
    • Automated information extraction from unstructured data
    • Refinery outage prediction
    • Shipping cost forecasting
    • Gas network disruption analysis
  • Create data visualizations for both technical and non-technical stakeholders
  • Collaborate with domain experts to design user-friendly ML solutions
  • Work with Data Science and IT teams to leverage existing tools for business value

Qualifications & Skills:

  • Master's/PhD in Computer Science, Data Science, or equivalent experience
  • 4-7 years of industry experience working with real-world datasets
  • Experience with Agile Scrum development methodology
  • C# development experience (plus)

Nice-to-Have (Preferred Experience):

  • Background in commodity trading, energy markets, or financial services
  • Experience with big data technologies and cloud platforms
  • Knowledge of optimization techniques for business applications