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Performance Data Analyst Jobs in Austin, TX (NOW HIRING)

Consult with performance analysts, program staff, and vendors to understand business requirements for visualization design and analysis. Build end-to-end data pipelines to support agency data and ...

Consult with performance analysts, program staff, and vendors to understand business requirements for visualization design and analysis. * Build end-to-end data pipelines to support agency data and ...

Experience analyzing funnel conversion, attribution models, and digital ad performance (Google/Meta ads). * Regulatory Awareness: Familiarity with HIPAA or general healthcare data security is a ...

Experience analyzing funnel conversion, attribution models, and digital ad performance (Google/Meta ads). * Regulatory Awareness: Familiarity with HIPAA or general healthcare data security is a ...

Experience analyzing funnel conversion, attribution models, and digital ad performance (Google/Meta ads). * Regulatory Awareness: Familiarity with HIPAA or general healthcare data security is a ...

... analysis and testing, identifying key opportunities to maximize the performance and effectiveness of Smadex campaigns. • Collaborate with stakeholders to channel market insights and performance ...

The Data Analyst helps to clearly quantify client performance objectives by maintaining our existing reporting suites, creating new methods of reporting, and automating repetitive tasks. The ...

* Zynga Poker is seeking a Principal Data Analyst to help drive decisions that impact millions of ... COMPENSATION - Performance bonuses, opportunities for equity participation & retirement/pension ...

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Showing results 21-40

Performance Data Analyst information

See Austin, TX salary details

$33.7K

$81.9K

$134.8K

How much do performance data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for performance data analyst in Austin, TX is $81,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,100.00 per year, depending on experience, location, and employer.

What does a performance data analyst do?

A Performance Data Analyst collects, processes, and analyzes data to evaluate the effectiveness and efficiency of business operations, projects, or employee performance. They use statistical tools and data visualization techniques to identify trends, areas for improvement, and opportunities for optimization. Their insights help organizations make informed decisions to enhance productivity and achieve strategic goals. Performance Data Analysts often collaborate with other teams to support data-driven decision-making and reporting.

How does a performance data analyst typically interact with other departments within an organization?

Performance Data Analysts frequently collaborate with various teams, including operations, finance, and management, to gather relevant data and provide actionable insights. They often participate in cross-functional meetings to discuss findings and recommend strategies for performance improvement. Effective communication skills are essential, as analysts must translate complex data trends into clear, practical recommendations tailored to the needs of different stakeholders. This collaborative environment helps ensure that data-driven decisions are integrated into business processes across the organization.

What skills and qualifications are needed to be a performance data analyst?

To thrive as a Performance Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting insights. These skills ensure accurate performance measurement, actionable insights, and informed decision-making within the organization.

What is the difference between Performance Data Analyst vs Data Analyst?

AspectPerformance Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in data toolsBachelor's in similar fields; strong analytical skills
Work EnvironmentFocus on performance metrics, operational data, and KPIsBroader data analysis across various domains and projects
Employer & Industry UsageUsed in corporate, sports, or government sectors to improve performanceWidely used across industries for general data insights

The Performance Data Analyst specializes in analyzing operational and performance metrics to optimize processes, while the Data Analyst has a broader role in interpreting various data types across multiple domains. Both roles require similar skills and education but differ in focus and application.

What are popular job titles related to Performance Data Analyst jobs in Austin, TX? For Performance Data Analyst jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Performance Data Analyst jobs in Austin, TX look for? The top searched job categories for Performance Data Analyst jobs in Austin, TX are:
What cities near Austin, TX are hiring for Performance Data Analyst jobs? Cities near Austin, TX with the most Performance Data Analyst job openings:

$85K - $107K/yr

Full-time

Re-posted 22 days ago


University Of Texas at Austin rating

8.2

Company rating: 8.2 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

141st of 617 rated colleges and universities


Job description

Job Posting Title:
Senior Data Analyst
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Hiring Department:
Department of Psychiatry
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Position Open To:
All Applicants
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Weekly Scheduled Hours:
40
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FLSA Status:
Exempt from FLSA
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Earliest Start Date:
Immediately
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Position Duration:
Expected to Continue Until Aug 31, 2027
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Location:
AUSTIN, TX
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Job Details:
General Notes
The Department of Psychiatry and Behavioral Sciences at the Dell Medical School is seeking a Senior Data Analyst. This is a fixed-term, benefits-eligible position with a current end date of August 31, 2027, based on available funding.
Purpose
The Senior Data Analyst is a senior-level individual contributor position responsible for leading complex data analytics initiatives that drive strategic decision-making across clinical, operational, and financial domains. This role partners with leadership, clinical program directors, and cross-functional teams to deliver high-impact insights. The Senior Data Analyst serves as a subject matter expert in healthcare data, advanced analytics, and data visualization. This position manages strategic, company-wide projects, mentors junior analysts, consults staff to identify new reporting needs, and contributes to data governance, documentation, and innovation efforts.
The Department of Psychiatry and Behavioral Sciences at the Dell Medical School is seeking a Senior Data Analyst, Program Integration to support mental health programs and initiatives developed through the Texas Child Mental Health Care Consortium, with a focus on improving the quality and accessibility of mental health care for children and adolescents across Texas. Reporting to the Assistant Director, Operations, this position will play a key role in interpreting and analyzing complex data sets to provide valuable insights and inform strategic decision-making. The ideal candidate will have a strong background in data analysis, data visualization techniques, understanding clinic program improvement and integration and the ability to effectively communicate findings to stakeholders at all levels of the organization. This position has an end date of 8/31/27, renewable based upon availability of funding, work performance, and progress toward program goals.
A flexible working arrangement agreement can be accommodated based upon the needs of the program and with supervisor approval. This position may require occasional work on-site for some of the scheduled work week. Remote work will require reliable internet access and a suitable, private workspace free from distractions.
Responsibilities
Strategic Data Analysis and Modeling
  • Partners with senior leadership, stakeholders, and cross-functional teams to evaluate business needs, support strategic planning, identify opportunities, and resolve complex challenges.
  • Performs advanced analyses of data and system architectures; delivers expert consultation, interpretation, and presentation of insights related to complex data environments and system constraints.
  • Analyzes data; interprets results to identify significant differences and trends.
  • Leads the design and execution of advanced data driven models.
  • Translates complex business problems into analytical frameworks.
  • Synthesizes, processes, and analyzes large datasets to uncover actionable insights.
  • Presents findings to senior leadership and governance committees.

Data Visualization
  • Develops and maintains dashboards and scorecards.
  • Standardizes KPIs and reporting methodologies across programs to evaluate effectiveness, impact and improvement.
  • Ensures data visualizations are intuitive, accurate, and aligned with strategic goals.

Data Integration, Architecture and Standards
  • Oversees development and implementation of databases, data collection systems, and analytics strategies that optimize statistical efficiency and data quality.
  • Leads integration of disparate data sources including EHR, claims, financial, and operational systems.
  • Assists in defining, developing, and implementing data standards and data quality measures.
  • Conceptualizes, creates, and maintains operational and research data models for visualization and statistical analysis.
  • Establishes and maintains standard work procedures governing the appropriate use of data.

Stakeholder Leadership and Consultation
  • Serves as a trusted advisor to clinical and administrative leaders.
  • Consults with internal and external customers, including faculty and staff, to identify user needs and clarify data requirements.
  • Provides guidance and interpretation of complex systems and data.
  • Facilitates data strategy sessions and requirements gathering workshops.
  • Builds consensus around data definitions and usage.

Mentorship, Documentation, and Innovation
  • Provides technical leadership, guidance, and mentorship to data analysts and data management technicians, fostering a collaborative and high-performing work environment.
  • Coordinates work activities, supports goal alignment, and monitors project progress to ensure timely and successful completion.
  • Contributes to onboarding, training, and professional development initiatives for team members. Provides guidance and coordination to data analysts, technicians, and student assistants. Documents data analysis efforts, including data sources, reporting specifications, tools used, and issue resolutions.
  • Evaluates and pilots emerging analytics tools and methodologies.
  • Researches and stays up-to-date on new technologies and data analysis trends.
  • Leads analytics communities of practice and training sessions.

Other duties as identified by department
MARGINAL OR PERIODIC FUNCTIONS:
  • Participates in strategic planning and digital transformation initiatives.
  • Supports grant-fundedprograms .
  • Represents the organization at professional forums.
  • Leads post-implementation reviews of analytics projects.
  • Contributes to vendor evaluations and procurement of analytics tools.

KNOWLEDGE/SKILLS/ABILITIES
Strategic Agility
  • Aligns analytics with long-term organizational goals.
  • Anticipates data needs for emerging initiatives.
  • Advises leadership on strategic risks and opportunities.

Dealing with Ambiguity
  • Navigates unclear or evolving data requirements.
  • Makes sound decisions with incomplete information.
  • Adapts analysis to shifting priorities.

Influence
  • Builds consensus around data-driven decisions.
  • Communicates complex findings to diverse audiences.
  • Gains buy-in for analytics initiatives.

Technical Learning
  • Masters new analytics tools and platforms.
  • Applies advanced statistical and machine learning techniques.
  • Stays current with industry trends.

Innovation Management
  • Pilots new technologies for data processing, data generation (e.g. Synthetic), and analysis
  • Encourages experimentation and learning.
  • Identifies opportunities for automation and AI.

Collaboration
  • Leads cross-functional analytics teams.
  • Shares knowledge and builds analytics capacity.
  • Supports enterprise-wide data initiatives.

EDUCATION & EXPERIENCE
MINIMUM QUALIFICATIONS:
Requires a Bachelor's Degree in Data Science, Health Information Management, Statistics, Computer Science, or a related field with at least 5 year(s) of experience in healthcare analytics/data science within complex organizational environments or a Master's Degree in a related field with 3 years of relevant experience.
  • Demonstrated experience leading analytics work, managing priorities, and influencing outcomes across cross-functional stakeholders is required.
  • Skilled in large scale data analysis, data processing and data technology .
  • Experience with advanced analytics tools, data visualizations, and cloud data environments
  • Relevant education may substitute for experience on a year-for-year basis.
  • Demonstrated ability to solve problems, leverage critical thinking skills, manage conflict, make decisions independently, and ability to solve problems.
  • High degree of sensitivity to stakeholder needs.
  • Excellent communication, tactical and strategic planning, and supervisory skills are required.

Relevant education and experience may be substituted as appropriate.
PREFERRED QUALIFICATIONS:
Master's Degree in a quantitative or healthcare-related field with at least 7 year(s) of experience in a complex healthcare environment.
  • Proficiency with student support and case management tools, including TRAYT, and EMR including Athena/EPIC is desired.
  • Experience providing guidance or day-to-day coordination to junior staff or support roles.
  • Proficiency in REDCap database design, survey development, and data management.

LICENSES, REGISTRATIONS OR CERTIFICATIONS
REQUIRED:
  • None

PREFERRED:
  • Cloud Data Analytics Certification or equivalent cloud-based certification (Azure, Google, AWS)

Salary Range
$90,000+ depending on qualifications
WORKING ENVIRONMENT/EQUIPMENT
  • Standard office equipment
  • Repetitive use of a keyboard
  • May be exposed to such occupational hazards as communicable diseases, blood borne pathogens, ionizing and non-ionizing radiation, hazardous medications and disoriented or combative patients, or others.

Required Materials
  • Resume/CV
  • 3 work references with their contact information; at least one reference should be from a supervisor
  • Letter of interest

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
Employment Eligibility:
Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.
Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
Equal Opportunity Employer:
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
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The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective

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