ZipRecruiter

Log In

1

Data Analytics Business Analyst Jobs in Texas (NOW HIRING)

Innova Solutions, Inc

Business Analyst

Dallas, TX · On-site

$50 - $53/hr

... data, Analytics, wealth management, Brokerage Cash Analytics Business Analyst - Brokerage Cash Analytics Implementation Summary: We are seeking an experienced Business Analyst to support the ...

Crouch Staffing Solutions, Inc.

Data Analyst

Waco, TX · On-site

$70K/yr

Bachelor's degree in Business, Finance, Accounting, Data Analytics, Information Systems, Supply Chain, or a related field preferred. Preferred Skills * Experience with Power BI, Tableau, SQL ...

PY DATA, INC.

Business Analyst

Westlake, TX · On-site

Strong data skills plus ability to understand reporting/user needs and insights * Experience with Oracle databases * Power BI * Adobe Analytics * SQL Important secondary skill: discovery/networking ...

OCTAGOS HEALTH, INC.

Business Analyst

Houston, TX · On-site

Analyze healthcare and operational data to identify trends and opportunities * Support development of business cases including ROI and clinical impact * Track performance of implemented solutions

DHL

Business Data Analyst I

Northlake, TX · On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... If you're passionate about analytics, innovation, and making a difference, this role is for you. If ...

DPDHL

Business Data Analyst I

Northlake, TX · On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... If you're passionate about analytics, innovation, and making a difference, this role is for you. If ...

Apex Informatics

Business Analyst III

Austin, TX · On-site

... data analytics, integration, and management, working with data warehouse and data governance ... Business Intelligence tools such as Tableau, Power BI etc. • Relies on limited experience and ...

next page

Showing results 1-20

All JobsData Analytics Business Analyst JobsData Analytics Business Analyst Jobs in Texas

Data Analytics Business Analyst information

See Texas salary details

$18

$42

$69

How much do data analytics business analyst jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for data analytics business analyst in Texas is $42.34, according to ZipRecruiter salary data. Most workers in this role earn between $32.69 and $49.71 per hour, depending on experience, location, and employer.

What does a data analytics business analyst do?

A Data Analytics Business Analyst is responsible for interpreting data and turning it into actionable insights that help organizations make informed business decisions. They collect, process, and analyze large datasets, often using statistical tools and data visualization techniques. These analysts work closely with stakeholders to understand business needs and translate them into data-driven recommendations. Their role bridges the gap between IT and business by ensuring that data solutions align with organizational goals.

How does a data analytics business analyst typically collaborate with cross-functional teams to deliver insights?

A Data Analytics Business Analyst regularly works alongside stakeholders from departments such as IT, marketing, finance, and operations. They gather requirements, translate business needs into data queries or dashboard requests, and present actionable insights in a clear, business-friendly manner. Effective communication and strong interpersonal skills are essential, as the analyst often facilitates meetings, clarifies data-driven recommendations, and ensures alignment between technical teams and business objectives. This collaborative environment helps ensure that analytics projects are both feasible and impactful.

What are the key skills and qualifications needed to thrive as a data analytics business analyst, and why are they important?

To thrive as a Data Analytics Business Analyst, you need strong analytical skills, business acumen, and a solid grasp of statistics, usually supported by a degree in business, statistics, or a related field. Proficiency with data analytics tools such as SQL, Tableau, Power BI, and familiarity with programming languages like Python or R, as well as certifications like CBDA or CAP, are commonly required. Excellent communication, critical thinking, and stakeholder management skills help translate complex data insights into actionable business strategies. These competencies are crucial for bridging the gap between data and decision-making, ensuring organizations can leverage analytics for improved performance.

What is the difference between Data Analytics Business Analyst vs Data Scientist?

AspectData Analytics Business AnalystData Scientist
Required SkillsData analysis, reporting, business understanding, SQL, ExcelAdvanced statistical analysis, machine learning, programming (Python/R)
Work EnvironmentBusiness teams, analytics departments, reporting toolsData modeling, algorithm development, research teams
CertificationsCBAP, CAP, Microsoft Data AnalystCertified Data Scientist, SAS, Python certifications
Industry UsageBusiness intelligence, finance, marketingResearch, AI development, predictive modeling

While both roles involve working with data, Data Analytics Business Analysts focus on interpreting data to inform business decisions using tools like SQL and Excel. Data Scientists develop complex models and algorithms, often requiring advanced programming and statistical skills. The roles overlap in data handling but differ in depth of technical expertise and application scope.

What are popular job titles related to Data Analytics Business Analyst jobs in Texas?

For Data Analytics Business Analyst jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Analytics Business Analyst jobs in Texas look for?

The top searched job categories for Data Analytics Business Analyst jobs in Texas are:

What cities in Texas are hiring for Data Analytics Business Analyst jobs?

Cities in Texas with the most Data Analytics Business Analyst job openings:

Data Analytics Business Analyst jobs near you
Infographic showing various Data Analytics Business Analyst 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 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $88,076 per year, or $42.3 per hour.

Business Analyst - Data Analytics

Austin, TX • On-site

1 point system
IT Services • 51 - 200 employees
Learn more about 1 point systemexternal

Contractor

Posted 22 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.