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Performance Analytics Jobs in Texas (NOW HIRING)

RelaDyne

Performance Analyst

Houston, TX · On-site

Performance Analyst Location: Houston, TX (onsite) We're looking for a Performance Analyst to join our team . This role supports operational efficiency by analyzing driver performance data ...

DLR Group

Building Performance Analyst

Dallas, TX · On-site

$100K - $161K/yr

Position Summary The Building Performance Analyst will assist the project design team, including architects and engineers, during the design process by identifying impactful building performance ...

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All JobsPerformance Analytics JobsPerformance Analytics Jobs in Texas

Performance Analytics information

See Texas salary details

$25.6K

$70K

$119.7K

How much do performance analytics jobs pay per year?

As of Jun 12, 2026, the average yearly pay for performance analytics in Texas is $70,050.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $83,400.00 per year, depending on experience, location, and employer.

What is Performance Analytics?

Performance Analytics refers to the process of collecting, analyzing, and interpreting data to evaluate the efficiency and effectiveness of an organization, team, or individual. Professionals in this field use metrics and key performance indicators (KPIs) to monitor progress, identify trends, and support data-driven decision-making. Performance Analytics is commonly used in business, sports, IT, and other sectors to optimize processes and achieve strategic goals.

How much does a performance analyst get paid?

Performance analysts typically earn a median annual salary of around $65,000 to $85,000, depending on experience, industry, and location. Entry-level roles may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Many performance analysts also work with data analysis tools like Excel, SQL, or Tableau.

What jobs pay $500,000 a year in the US?

In performance analytics, high-paying roles such as Chief Data Officer, Director of Analytics, or senior executive positions can reach or exceed $500,000 annually, especially in large corporations or finance sectors. These roles typically require extensive experience, advanced skills in data analysis, leadership, and often certifications like CFA or CPA, along with strategic decision-making responsibilities.

What jobs pay 2000 a day?

High-paying roles in performance analytics or related fields typically do not pay $2,000 daily, but senior positions such as data science managers, analytics directors, or consultants working on large projects can earn this level of income through high salaries, bonuses, or consulting fees. These roles often require advanced skills in data analysis, statistical tools, and industry experience, and may involve contract or freelance work with high hourly rates.

How does a Performance Analytics professional typically collaborate with other departments within an organization?

Performance Analytics professionals regularly partner with teams such as operations, finance, and marketing to gather relevant data and translate it into actionable insights. They often participate in cross-functional meetings to understand business goals and tailor their analyses accordingly. Clear communication is crucial, as they must explain complex metrics to non-technical stakeholders and help implement data-driven strategies. This collaborative environment fosters a strong understanding of the broader business and can open doors to advancement in various domains.

What is the difference between Performance Analytics vs Data Analyst?

AspectPerformance AnalyticsData Analyst
Required CredentialsBachelor's in Business, Analytics, or related fields; certifications like CAP or CBAPBachelor's in Statistics, Mathematics, or related fields; certifications like CAP or Microsoft Data Analyst
Work EnvironmentBusiness settings, focusing on performance metrics and KPIsVaried industries, analyzing data sets to inform decisions
Employer & Industry UsageUsed in corporate performance management, finance, and operationsUsed across industries for data interpretation and reporting

Performance Analytics focuses on measuring and improving organizational performance through KPIs and strategic insights, often within business operations. Data Analysts interpret complex data sets to support decision-making across various industries. While both roles require analytical skills and similar certifications, Performance Analytics emphasizes performance measurement, whereas Data Analysts focus on data interpretation and reporting.

What does a performance analyst do?

A performance analyst evaluates and monitors an organization’s operational and financial performance using data analysis tools and techniques. They identify trends, generate reports, and provide insights to support decision-making and improve efficiency. Strong analytical skills and proficiency with software like Excel or specialized analytics platforms are essential for this role.

What are the key skills and qualifications needed to thrive as a Performance Analytics professional, and why are they important?

To thrive in Performance Analytics, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, business, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), statistical analysis software (like R or Python), and experience with databases are often required. Exceptional problem-solving abilities, attention to detail, and effective communication skills help professionals translate complex data into actionable insights. These skills are crucial for driving data-informed decisions and optimizing organizational performance.
What are popular job titles related to Performance Analytics jobs in Texas? For Performance Analytics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Performance Analytics jobs in Texas look for? The top searched job categories for Performance Analytics jobs in Texas are:
Performance Analytics jobs near you
Infographic showing various Performance Analytics job openings in Texas as of June 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 100% In-person job distribution, with an average salary of $70,050 per year, or $33.7 per hour.
Senior Director, Customer Performance Analytics

Senior Director, Customer Performance Analytics

Upbound

Plano, TX • On-site

Other

Medical, Dental, Vision, Retirement

Posted 8 days ago

Job description

SeniorDirector,Customer Performance Analytics

(Plano Texas, In-Office)

ABOUT UPBOUND

Upbound Group, Inc. (effective February 27, 2023: NASDAQ: UPBD) is an omni-channel platform company committed to elevating financial opportunity for all through innovative, inclusive, and technology-driven financial solutions that address the evolving needs and aspirations of consumers. The Company's customer-facing operating units include industry-leading brands such as Acima, Rent-A-Center, and Brigit that facilitate consumer transactions across a wide range of store-based and digital retail channels, including over 2,400 company branded retail units across the United States, Mexico and Puerto Rico.Upbound Group, Inc. is headquartered in Plano, Texas.

ABOUT THE POSITION

TheSeniorDirector,CustomerPerformance Analytics (Growth) leads the strategy and execution of advanced analytics that drive enterprise growth, performance optimization, and data-informed decisioning. This role is accountable for delivering deep, full-funnel analytics across the customer lifecycle; from acquisition through servicing and collections toidentifyrisks, uncover opportunities, and translate insights into measurable business impact.

TheSeniorDirector partners closely with Growth product pod teams to embed analytics into product development, marketing, and customer experience initiatives. This includes designing and operationalizing measurement frameworks that quantify the incremental impact of product features, experiences, and innovations on conversion, retention, and lifetime value.

This role serves as the analytical engine of the Growthorganizationconnecting enterprise performance visibility with actionable insights that directly influence strategy, prioritization, and execution.

KEY RESPONSIBILITIES

Customer Analytics Strategy & Segmentation

  • Define and evolve customer segmentation frameworks, personas, behavioral cohorts, and customer value models

  • Develop customer lifetime value (LTV), unit economics, and customer health measurement frameworks

  • Identifycustomer needs, behaviors, motivations, and opportunities through advanced analytics and segmentation

  • Translate customer insights into actionable recommendations that improve customer outcomes and business performance

Full-Funnel Performance Analytics & Optimization

  • Lead end-to-end analysis of the customer lifecycle (acquisition application conversion servicing retention collections) toidentifyperformance drivers, bottlenecks, and growth opportunities

  • Diagnose conversion leakage, retention risks, and margin dynamics using cohort analysis, funnel decomposition, and behavioral segmentation

  • Quantify drivers of customer growth, engagement, retention, and lifetime value across products and experiences

  • Translate analytical findings into clear, prioritized actions that drive measurable business outcomes

Growth Measurement & Experimentation within Product Pods

  • Embed analytics support within Growth product pods and customer journey teams

  • Design and implement measurement frameworks to quantify the incremental impact of product features, customer experience enhancements, personalization strategies, and innovations

  • Establish and govern test-and-learn frameworks, experimentation standards, and causal inference methodologies

  • Ensure major initiatives have clear success metrics, measurement plans, and post-launch impact evaluation

  • Drive a culture of evidence-based prioritization and continuous optimization

Performance Insights & Decision Enablement

  • Deliver forward-looking insights that inform product roadmaps, customer experience strategies, and investment decisions

  • Proactivelyidentifyemerging customer risks and growth opportunities through trend analysis, predictive signals, and scenario modeling

  • Support strategic planning, forecasting, and decision-making through robust analytical models

  • Serve as a trusted advisor to Growth leadership on customer performance optimization and trade-off decisions

Executive Reporting & Analytics Excellence

  • Deliver concise, insight-driven executive dashboards and scorecards focused on customer performance and growth drivers

  • Ensure reporting highlights actionable insights-not just metrics-enabling faster and better decisions

  • Ensure high data quality, integrity, and governance across all analytical outputs

  • Establish repeatable processes for customer performance analysis, experimentation readouts, and insight delivery

MAJOR PRODUCTS & DELIVERABLES

  • Customer segmentation, persona, and behavioral cohort frameworks

  • Customer journey analytics, conversion analyses, and lifecycle performance models

  • Customer lifetime value (LTV) and unit economics frameworks

  • Full-funnel customer performance analytics and diagnostic frameworks

  • Experimentation design, analysis, and impact reporting

  • Incrementality measurement for product features, personalization strategies, and customer experience initiatives

  • Forecasting models and customer performance trend analyses

  • Executive dashboards and customer performance scorecards focused on insight and actionability

OUTCOMES

  • Clear identification of customer growth opportunities and performance risks across the full customer lifecycle

  • Measurable improvement in conversion, retention, engagement, customer experience, and customer lifetime value

  • Quantified impact of product features, personalization strategies, and customer experience innovations

  • Faster, more confident decision-making grounded in customer insights and experimentation

  • Strong alignment between product, customer experience, operational performance, and business outcomes

  • Increased customer value and enterprise growth driven by data-informed actions

JOB REQUIREMENTS

Experience & Leadership

  • 10-15+ years in customer analytics, product analytics, business analytics, or enterprise analytics

  • 5+ years leading high-performing analytics teams in a growth, product, or enterprise environment

  • Proven ability to influence senior leaders and drive measurable business outcomes

Customer Analytics & Full-Funnel Performance

  • Deepexpertisein customer analytics across the full customer lifecycle (acquisition through retention and collections)

  • Strong experience in customer segmentation, persona development, cohort analysis, behavioral analytics, and unit economics

  • Ability to diagnose customer performance drivers,identifyrisks, and quantify growth opportunities

  • Proven ability to connect customer behavior and operational metrics to financial outcomes including revenue, margin, and LTV

Growth Measurement & Experimentation

  • Strong experience designing and implementing measurement frameworks for product features, customer experience initiatives, and personalization strategies

  • Deepexpertisein experimentation (A/B testing, holdouts, quasi-experimental methods) and causal inference

  • Ability to quantify incremental impact of customer-focused initiatives and business changes

  • Experience embedding analytics within cross-functionalproductor growth teams

Forecasting, Modeling & Decision Support

  • Experience building forecasting models, scenario analysis, and predictive analytics to support planning and investment decisions

  • Ability to translate complex analyses into clear, actionable recommendations for business leaders

  • Strong orientation toward forward-looking insights and decision enablement

Technical & Data Fluency

  • Proficiencyin SQL and Python or R; experience with modern cloud data platforms (e.g., Snowflake, Databricks)

  • Familiarity with BI tools (Power BI, Tableau, Sigma) and scalable analytics environments

  • Strong understanding of data modeling, data quality, and governance principles

Preferred

  • Experience in Retail, Financial Services, FinTech, or multi-brand consumer environments

  • Experience working within product-led or growth-focused operating models

  • Experience supporting customer experience, personalization, loyalty, or customer lifecycle optimization initiatives

COMPENSATION/BENEFITS

  • Competitive compensation

  • Full health benefits-Medical/Dental/Vision

  • 401(k) match, (5%/4%)

  • DTO (discretionary time off)

  • Health savings account (HSA) with company contribution

  • College tuition reimbursement program (STEM degrees)

  • Unlimited use of LinkedIn Learning

  • Free car charging and covered parking

SPONSORSHIP

Applicants mustbe authorized towork for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visaat this time.

Upbound/Acima/Brigit are equal opportunity employers committed to ensuring that all employment decisions are made on a non-discriminatory basis, and without regard to actual or perceived race.

Apply