Data And Analytics Jobs in Texas
Data And Analytics jobs in Texas are concentrated in Houston, Dallas, and Austin, where energy giants like ExxonMobil and Chevron, technology firms like Dell Technologies, and financial services leaders like Charles Schwab have deep, lasting analytics operations. Demand is strongest for data engineers, business intelligence developers, and machine learning specialists, with openings at every level from entry-level analyst to senior data architect. Texas ranks among the most active markets in the country for analytics talent, driven by its diverse industry base and rapid corporate relocations. Scan the live roles below and apply to whichever ones fit.
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Build products that help customers move forward with confidence in one of life's biggest purchases. In this role, you'll turn digital behavior and performance data into insights that shape strategy and improve conversion across the customer journey. You'll work side-by-side with Product, Technology, Design, and Risk partners to deliver measurable outcomes. If you enjoy owning analyses end-to-end and applying modern machine learning to real customer problems, you'll thrive here.
Job Summary
As a Data Scientist within the Auto Finance Data & Analytics team, you will leverage advanced analytics and artificial intelligence and machine learning (AI/ML) to support product teams, build analytical solutions, guide strategic business decisions, and enable growth initiatives. You will partner closely with Product, Technology, Design, Risk, and other cross-functional teams to translate complex business questions into analytical and AI/ML solutions. You will combine hands-on technical execution with business judgment and clear, data-driven storytelling. You will help establish and evolve the measurement frameworks that keep leaders informed and teams accountable.
Job Responsibilities
- Conduct deep-dive analyses to generate actionable insights and recommendations that streamline processes and uncover opportunities for product innovation and growth.
- Present insights and recommendations to business leaders using clear, data-driven storytelling to help guide strategic direction.
- Partner with Business, Product, and Technology teams to implement data-driven strategies and models that drive growth and customer engagement.
- Develop and apply statistical analyses and mathematical models to identify trends and patterns in complex data.
- Leverage firm-approved AI tools (for example, LLM Suite and GitHub Copilot) to accelerate analysis and identify opportunities for innovation.
- Analyze the end-to-end digital customer engagement funnel and recommend improvements to increase conversion.
- Evolve and refine measurement frameworks and key performance indicators, highlighting anomalies and trends to senior leaders.
Required Qualifications, Capabilities, and Skills
- Three years of relevant experience in data science, machine learning, or a related field.
- Demonstrated experience translating digital customer behavior data into actionable insights and recommendations for business leaders.
- Demonstrated experience defining key performance indicators, building measurement frameworks, and monitoring for anomalies in digital product performance.
- Proficiency developing predictive models and applying classification algorithms (for example, logistic regression, k-nearest neighbors, random forest, and gradient boosting).
- Solid understanding of statistical concepts for data analysis and experience designing and evaluating A/B experiments.
- Hands-on experience with SQL and Python for data extraction, analysis, and model development.
- Experience using analytics and visualization tools such as Adobe Analytics and Tableau (or equivalent tools).
- Strong ability to synthesize complex analytical results and communicate recommendations to executive, business, and technical stakeholders.
Preferred Qualifications, Capabilities, and Skills
- Experience building conversational artificial intelligence solutions and orchestrating machine learning services into an end-to-end application.
- Amazon Web Services (AWS) Certified Cloud Practitioner certification.
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
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Where Texas roles are concentrated, by current openings.
Data And Analytics Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Accounting & Auditing
- Technology & Software
- Investment & Asset Management
- Consulting & Professional Services
- Energy
What Texas Employers Look For
The qualifications that appear most often in data and analytics jobs across Texas.
- Bachelor's or master's degree in data science, statistics, computer science, or a related field
- Proficiency in SQL and at least one programming language such as Python or R
- Experience with business intelligence tools such as Tableau, Power BI, or Looker
- Hands-on knowledge of cloud data platforms including AWS, Azure, or Google Cloud
- Ability to communicate analytical findings clearly to non-technical business stakeholders
- Familiarity with data governance practices and experience working within large enterprise datasets
Data And Analytics Jobs in Texas: Frequently Asked Questions
How do you become a data and analytics in Texas?
Most Texas employers expect a bachelor's degree in data science, statistics, mathematics, computer science, or a related quantitative field as the baseline. There is no state-issued license required for data and analytics roles in Texas. Candidates strengthen their profile with industry certifications such as those offered by Microsoft, Google, or Databricks, and by building a portfolio of real analytical projects. Many Texas employers, particularly in energy and finance, value domain knowledge alongside technical skills.
Which companies hire data and analyticss in Texas?
Companies currently hiring data and analyticss in Texas include USAA, CoStar, and Deloitte, per current listings on Migrate Mate as of November 2026. Texas's concentration of energy, financial services, and technology headquarters means that demand is broad and consistent across industries rather than clustered in a single sector.
Which Texas cities have the most data and analytics jobs?
Dallas, Austin, and Houston account for the largest share of data and analytics openings in Texas. Houston's energy sector and growing medical complex drive demand there, Dallas anchors the state's financial services and corporate headquarters activity, and Austin's dense technology industry has made it one of the fastest-growing analytics markets in the South.
Are there remote data and analytics jobs in Texas?
Yes, and more than most fields. About 66% of data and analytics openings tied to Texas are remote or hybrid as of November 2026, reflecting how naturally desk-based this work is. Roles focused on reporting, modeling, and pipeline development tend to offer the most location flexibility, while positions requiring close collaboration with operations or lab teams are more likely to be on-site.
How can I get hired as a data and analytics in Texas with little or no experience?
The most realistic entry path is an analytics or data associate role, which large Texas employers in energy, retail, and financial services regularly post for candidates with a relevant degree but no professional experience. Companies like Toyota's North American headquarters in Plano and major hospital systems such as Texas Medical Center affiliates run structured rotational or associate programs for new graduates. Building a portfolio of projects using publicly available datasets, completing a recognized certification, and applying to business analyst or reporting analyst roles as lateral entry points all improve early-career prospects significantly.
Where can I find and apply to data and analytics jobs in Texas?
You can find and apply to data and analytics jobs in Texas on Migrate Mate, which lists current openings tied to Texas locations. Search the listings to find roles that match your experience level, preferred city, and specialization, then apply directly to the ones that fit.
See All 85 Data And Analytics Jobs in Texas
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