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Data And Analytics Jobs in Texas (NOW HIRING)

McKesson

Manager, Data Analytics

Irving, TX

Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change ...

Sonoma Consulting Inc.

Data Analytics Lead

Plano, TX · On-site

These are the responsibilities of the new big data architect position we are hiring for) Description: Important Note: Candidates should have the following experience: What are the key objectives for ...

Wise Skulls

AI Data Analytics Lead

Houston, TX · On-site

AI Data Analytics Lead Location: Chicago, IL or Houston, TX (100% Onsite) Duration: 6 months+ (possibility of an extension) Implementation Partner: Infosys End Client: To be disclosed JD: We are ...

CYNET SYSTEMS

Data Analytics project Manager

Plano, TX · On-site

$85 - $90/hr

Bachelor's degree in data science, Information Systems, Business Analytics, Computer Science, or related field OR equivalent work experience. * 10+ years of total experience. * 7-8 years of ...

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$22

$51

$88

How much do data and analytics jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data and analytics in Texas is $51.00, according to ZipRecruiter salary data. Most workers in this role earn between $40.96 and $57.79 per hour, depending on experience, location, and employer.

What is data and analytics?

Data and analytics refers to the process of collecting, processing, and analyzing large sets of data to extract valuable insights that inform business decisions. This field encompasses techniques such as data mining, statistical analysis, and the use of specialized software tools to interpret trends and patterns. Professionals in data and analytics help organizations make evidence-based choices, improve efficiency, and gain a competitive edge. Their work can impact various areas, including marketing, finance, operations, and more.

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

Professionals in Data and Analytics often face challenges such as managing large volumes of complex data, ensuring data quality, and translating technical findings into actionable business insights. These challenges can be addressed by developing strong data management practices, using robust data cleaning and validation tools, and improving communication skills to present analytics results to non-technical stakeholders. Collaborating closely with cross-functional teams and staying updated on the latest analytics technologies also help in overcoming these hurdles and delivering impactful results.

What are the key skills and qualifications needed to thrive in data and analytics, and why are they important?

To thrive in Data and Analytics, you need a strong background in statistics, data modeling, and analytical reasoning, often supported by a relevant degree in mathematics, computer science, or a related field. Experience with tools and platforms such as SQL, Python, R, Tableau, and data warehousing systems is typically required, and certifications like Certified Analytics Professional (CAP) or Google Data Analytics can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals translate complex data into actionable insights for stakeholders. These skills are crucial for driving data-driven decision-making and delivering measurable business value.

What is the difference between Data And Analytics vs Data Analyst?

AspectData And AnalyticsData Analyst
CredentialsOften requires degrees in data science, statistics, or related fields; certifications like CAP, Microsoft Certified Data AnalystTypically requires a bachelor's degree in data-related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentWorks with large datasets, data warehouses, and analytics tools across departmentsFocuses on data cleaning, visualization, and reporting for specific projects
Industry UsageUsed across industries for strategic insights and decision-makingCommonly employed in business, finance, healthcare for operational analysis

While Data And Analytics professionals develop comprehensive data strategies and work with complex tools, Data Analysts focus on interpreting data, creating reports, and providing actionable insights. Both roles are essential but differ in scope and depth of data handling.

Is data and analytics a good career?

Data and analytics is a growing field with strong demand for professionals skilled in data analysis, statistical methods, and tools like SQL, Python, and Tableau. It offers opportunities across industries, competitive salaries, and potential for career advancement, making it a viable and rewarding career choice.

What does a data and analytics job do?

A data and analytics job involves collecting, processing, and analyzing data to help organizations make informed decisions. Professionals in this field use tools like SQL, Python, or Tableau to interpret data trends and generate reports, often requiring strong analytical skills and knowledge of data management. The role may also include data visualization, data cleaning, and ensuring data accuracy to support strategic planning.

What jobs are there in data and analytics?

Jobs in data and analytics include roles such as Data Analyst, Data Scientist, Data Engineer, Business Intelligence Analyst, and Analytics Manager. These positions typically require skills in statistical analysis, programming languages like Python or R, and familiarity with data visualization tools such as Tableau or Power BI.

What are the most commonly searched types of Data And Analytics jobs in Texas?

The most popular types of Data And Analytics jobs in Texas are:

What cities in Texas are hiring for Data And Analytics jobs?

Cities in Texas with the most Data And Analytics job openings:

Data And Analytics jobs near you
Infographic showing various Data And Analytics job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $106,090 per year, or $51 per hour.

Business Analyst - Data Analytics

1 point system

Austin, TX • On-site

Contractor

Posted 15 days ago

Job description

Role summary
This lead will own the end-to-end engagement, onboarding, and insights experience for partners consuming our quality and operations data. They will translate business needs into clear reporting, metrics, and data flows, and ensure the underlying file-upload processes are reliable, well-documented, and production-ready.
Core scope
•    Act as the primary point of contact for SQ digital and related stakeholder groups.
•    Lead onboarding of new teams, plants, and systems (for example, Sterlz, SQMS, APS and similar platforms) onto our data and reporting solutions.
•    Define and deliver standard reports, metrics, scorecards, and outcome metrics to support decision-making.
•    Design and maintain data flows, visualizations, and curated data subsets that are intuitive for end users.
•    Own the overall file-upload process for the team, including scheduling, documentation, monitoring, and incident response.
•    Drive the path from concept to production for file-upload and reporting capabilities in partnership with engineering.Key responsibilities
Engagement and onboarding
•    Build and maintain strong relationships with SQ digital and other key stakeholders.
•    Lead discovery and intake sessions to understand use cases and data needs.
•    Plan and execute onboarding for new partners and systems, including communication, training, and readiness checks.
•    Create simple reference materials (playbooks, quick-start guides) that make it easy for new teams to engage with the platform.
Reporting, metrics, and insights
•    Define the core metric set, scorecards, and outcome measures used to track performance.
•    Partner with data engineering and analytics to design reports and dashboards that are accurate, timely, and actionable.
•    Ensure alignment on definitions, calculation logic, and usage of metrics across stakeholders.
•    Continuously gather feedback and iterate on reports, views, and insights to improve usability and adoption.
Data flows and visualizations
•    Map end-to-end data flows from source systems through file uploads into curated views and reports.
•    Work with technical teams to design visualizations and data subsets that match how users think about their operations.
•    Identify gaps, bottlenecks, or latency issues in the flow and drive remediation plans.
File upload operations and process ownership
•    Own the file-upload schedule across teams, including SLAs, sequencing, and dependencies.
•    Create and maintain clear process diagrams for file-upload and downstream processing steps.
•    Monitor latency, failure modes, and operational health, and lead root-cause analysis when issues occur.
•    Coordinate on-call expectations and escalation paths for file-upload incidents across the team.
•    Partner closely with named engineering leads (for example, Jeff and Mark) to move stable processes into production and continuously improve reliability.
Ideal candidate profile
•    Experience leading cross-functional initiatives at the intersection of data, operations, and stakeholder engagement.
•    Strong understanding of data-driven reporting, scorecards, and outcome metrics in a complex operational environment.
•    Comfortable owning operational processes end to end: mapping flows, defining schedules, documenting procedures, and managing on-call/escalations.
•    Excellent communication and facilitation skills; able to translate between technical teams and business stakeholders.
•    Proven track record of driving adoption of new tools and workflows across multiple teams or plants.