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Data Visualization Jobs in Houston, TX (NOW HIRING)

Procal Technologies

Data Analyst AI/ML

Houston, TX · On-site

Proficiency in data visualization and reporting tools such as Power BI. * Strong knowledge of data governance, data quality management, metadata standards, and secure data handling. * Experience ...

Foxconn Assembly LLC

Data Analyst

Houston, TX

Proficiency in Tableau or other data visualization tools, SQL and Excel. * Native speaking in Chinese Mandarin with ability to read the language and work in a professional setting. * Database ...

AaraTechnologies Inc

DATA ANALYST

Texas City, TX · On-site

... Visualization, Dashboard Development, KPI Reporting, Conversion Rate Analysis, Revenue & Margin Analysis, Trend Analysis, Data Cleaning, Data Validation, Data Quality Checks, Ad-hoc Analysis ...

Beth Page tech

Data Scientist

Houston, TX · On-site

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 ...

Cantor Fitzgerald Securities

Data Analyst

Houston, TX · On-site

Experience with Tableau for data visualization. * Practical data cleaning and validation skills. * Advanced Excel skills, including pivot tables and formulas. * Interest or experience in energy ...

LivaNova

Data Analyst

Houston, TX

$70K - $100K/yr

The Data Analyst will provide data analysis, reporting, and visualization support to the Statistics & Data Science team across post-market surveillance, manufacturing, R&D, and clinical data sources.

Varsity Tutors

Data Analysis Tutor

Missouri City, TX · Remote

$40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Varsity Tutors

Data Analysis Tutor

Houston, TX · Remote

$40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

Varsity Tutors

Data Analysis Tutor

Sugar Land, TX · Remote

$40/hr

Skilled at teaching data manipulation, visualization creation, and insight extraction from data sets. Guides students through importing and cleaning data, calculating summary statistics, creating ...

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All JobsData Visualization JobsData Visualization Jobs in Houston, TX

Data Visualization information

See Houston, TX salary details

$51.6K

$104.5K

$154.2K

How much do data visualization jobs pay per year?

As of Jun 23, 2026, the average yearly pay for data 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 Visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as data manipulation, visualization, and tools like Excel, SQL, and Tableau. However, mastering the role typically requires ongoing learning and practical experience, especially for complex analysis tasks and industry-specific knowledge.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization tools are better positioned to adapt to these technological changes.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, understanding of data, and the ability to communicate insights effectively, often with a background in statistics or computer science. The field offers growth opportunities as organizations increasingly rely on visual data to inform decisions.

What are some common challenges faced by professionals in Data Visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What are the key skills and qualifications needed to thrive as a Data Visualization Specialist, and why are they important?

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

What jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These roles involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
More about Data Visualization jobs
What are the most commonly searched types of Data Visualization jobs in Houston, TX? The most popular types of Data Visualization jobs in Houston, TX are:
What are popular job titles related to Data Visualization jobs in Houston, TX? For Data Visualization jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Houston, TX look for? The top searched job categories for Data Visualization jobs in Houston, TX are:
What cities near Houston, TX are hiring for Data Visualization jobs? Cities near Houston, TX with the most Data Visualization job openings:
Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Houston, TX as of June 2026, with employment types broken down into 5% Internship, 75% Full Time, 5% Part Time, 5% Temporary, and 10% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $104,522 per year, or $50.3 per hour.

SR FINANCIAL ANALYST - Analytics and Data Visualization

Empyrean

Houston, TX • On-site

$81K - $101K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Empyrean rating

4.6

Company rating: 4.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

184th of 191 rated software companies

Job description

JOB TITLE: Senior Financial Business Analyst - Analytics & Data Visualization
CLASSIFICATION: Exempt
JOB SUMMARY
We're looking for a Financial Business Analyst to join the Finance organization, focused on data visualization, dashboard design, and business-facing analytics. This role is responsible for transforming complex financial and operational data into clear, trusted dashboards that directly inform business strategy and decision-making across the company.
This role is part of the Finance organization and reports to Finance leadership, with accountability for analytical outputs, metric definitions, and insights residing within Finance.
You will work closely with Finance leadership and partner with Revenue and Operations to shape KPIs, reporting standards, and analytical approaches. Your work will regularly inform senior stakeholders by providing clear, analytically grounded perspectives on performance, trends, risks, and tradeoffs.
This role blends hands-on analytics execution with strategic thinking: designing metrics, building scalable dashboards, and applying analytical judgment to help the business understand not just what happened, but why and what it implies for future decisions.
This role is ideal for someone who enjoys being the bridge between data and business strategy, values clarity over complexity, and is intellectually curious enough to independently explore, troubleshoot, and continuously improve analytical solutions (including effective use of generative AI tools).
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Design, build, and maintain high-impact dashboards that clearly communicate financial and operational performance
  • Own the end-to-end analytics workflow within Finance: business questions → metrics → visualizations → insights
  • Partner with Finance, Revenue, Operations, and senior stakeholders to define KPIs, reporting standards, and analytical conventions
  • Use SQL to connect visualization tools directly to data sources and shape datasets for reporting and visualization
  • Automate recurring dashboards and reports to reduce manual effort and improve consistency
  • Ensure data accuracy, metric consistency, and analytical rigor across Finance-owned reporting
  • Apply statistical and probabilistic reasoning-such as trend analysis, variability, confidence intervals, and regression models-to support interpretation and decision-making
  • Proactively identify trends, anomalies, risks, and opportunities within financial and operational data
  • Clearly communicate insights, assumptions, and limitations to both technical and non-technical audiences

REQUIRED SKILLS AND ABILITIES
  • Solid SQL skills for querying and shaping data for reporting and visualization
  • Advanced Excel proficiency
  • Strong understanding of financial concepts (revenue, margin, forecasting, budgeting, variance analysis, KPIs)
  • Working familiarity with applied probability and statistics, including confidence intervals, trend analysis, and regression models
  • Demonstrated ability to independently research problems, validate assumptions, and design fit-for-purpose analytical solutions
  • Comfort using generative AI tools to accelerate analysis, troubleshooting, and solution design

KNOWLEDGE, EXPERIENCE, AND/OR EDUCATION REQUIREMENTS
  • 5-7 years of experience in Business Analytics, BI, Finance Analytics, or a similar role
  • Strong expertise in data visualization and dashboarding tools (Tableau, Power BI, Looker, or similar)
  • Finance background or formal education in Finance, Accounting, Economics, Statistics, or a related field
  • Experience building self-service dashboards for Finance and business users
  • Experience in SaaS, revenue analytics, FP&A, or pricing
  • Familiarity with basic data modeling concepts (facts, dimensions, metric definitions)
  • Light experience with Python or R for analysis or automation (not required)
  • Graduate-level coursework or research exposure to applied statistics or quantitative methods

Disclaimer: This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job. Management reserves the right to modify or reassign job duties as business needs evolve.
Empyrean is an Equal Opportunity Employer: including disability and protected veteran status

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