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Senior Analytics Developer Jobs in Texas (NOW HIRING)

Setpoint

$150K - $170K/yr

We are looking for an Analytics Engineer to join our team supporting our external data products. In this position, you will be reporting into our Head of Analytics and partnering closely with ...

SpringTime Ventures

Senior Analytics Engineer

Austin, TX · On-site

$120 - $180/hr

What We're Looking For * 5-8 years in analytics engineering, data engineering, or adjacent -- with at least some of it at a company where real money flowed through your models (billing, payments ...

Stellus RX

Senior Analytics Engineer - Lima, Peru

Plano, TX · On-site

$99K - $134K/yr

The Senior Analytics Engineer for Stellus Rx will help our communities thrive as a key member of the Technology Team . You will work closely with Stellus Rx leaders and across the organization as we ...

Expeditors

Data Engineer III/Senior (Analytics)

Irving, TX

$101K - $138K/yr

A Successful Data Engineer III / Senior Data Engineer: * Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI. * Design and develop semantic models ...

Expeditors

Data Engineer III/Senior (Analytics)

Irving, TX · On-site

$101K - $138K/yr

A Successful Data Engineer III / Senior Data Engineer: * Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI. * Design and develop semantic models ...

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Senior Analytics Developer information

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How much do senior analytics developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for senior analytics developer in Texas is $57.51, according to ZipRecruiter salary data. Most workers in this role earn between $48.85 and $64.52 per hour, depending on experience, location, and employer.

What is a senior analytics developer?

A Senior Analytics Developer is a professional who designs, builds, and maintains complex data analytics solutions to help organizations make data-driven decisions. They are responsible for developing advanced data models, creating dashboards and reports, and ensuring data quality and accuracy. Typically, they work with large datasets, use programming languages like SQL or Python, and collaborate closely with data scientists, business analysts, and other stakeholders. Senior Analytics Developers also mentor junior team members and help set best practices for analytics projects. Their work is crucial in providing actionable insights that drive business strategy.

How does a senior analytics developer typically collaborate with other teams during a data project?

Senior Analytics Developers frequently collaborate with cross-functional teams such as data engineers, business analysts, and product managers. They work closely with data engineers to ensure data pipelines are robust and with business stakeholders to translate complex analytics findings into actionable insights. Regular meetings and agile ceremonies are common to align on project goals, troubleshoot challenges, and refine deliverables. This collaborative environment ensures analytics solutions are both technically sound and aligned with business priorities.

What are the key skills and qualifications needed to thrive as a senior analytics developer, and why are they important?

To thrive as a Senior Analytics Developer, you need expertise in data analysis, programming (such as Python or SQL), and a strong understanding of statistical methodologies, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with advanced analytics platforms (like Tableau or Power BI), big data tools (such as Hadoop or Spark), and relevant certifications (e.g., Microsoft Certified Data Analyst) is often required. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate complex data insights into actionable business solutions. These skills and qualifications are crucial for delivering high-impact analytics projects that drive decision-making and business growth.

What is the difference between Senior Analytics Developer vs Data Analyst?

AspectSenior Analytics DeveloperData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; often certifications in SQL, Python, or TableauBachelor's degree in Statistics, Mathematics, or related field; certifications in Excel, SQL, or data visualization tools
Work EnvironmentDevelops complex analytics solutions, works with data engineering teams, and builds dashboardsAnalyzes data sets, prepares reports, and visualizes data for business insights
Employer & Industry UsageUsed in tech, finance, and consulting firms for advanced analytics projectsCommon across various industries for business reporting and decision-making

In summary, a Senior Analytics Developer focuses on creating advanced analytics solutions and dashboards, often requiring programming skills and technical expertise. A Data Analyst primarily interprets data, prepares reports, and visualizes insights for business teams. While both roles work with data, the Senior Analytics Developer typically handles more complex technical tasks.

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

The most popular types of Analytics Developer jobs in Texas are:

Senior Analytics Developer jobs near you
Infographic showing various Senior Analytics Developer job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $119,624 per year, or $57.5 per hour.

Senior Finance Analytics Developer

Texascapitalbank

Richardson, TX • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 28 days ago

Job description

Texas Capital is built to help businesses and their leaders. Our depth of knowledge and expertise allows us to bring the best of the big firms at a scale that works for our clients, with highly experienced bankers who truly invest in people's success - today and tomorrow.

While we are rooted in core financial products, we are differentiated by our approach. Our bankers are seasoned financial experts who possess deep experience across a multitude of industries. Equally important, they bring commitment - investing the time and resources to understand our clients' immediate needs, identify market opportunities and meet long-term objectives. At Texas Capital, we do more than build business success. We build long-lasting relationships.

Texas Capital provides a variety of benefits to colleagues, including health insurance coverage, wellness program, fertility and family building aids, life and disability insurance, retirement savings plans with a generous 401K match, paid leave programs, paid holidays, and paid time off (PTO).

Headquartered in Dallas with offices in Austin, Fort Worth, Houston, Richardson, Plano and San Antonio, Texas Capital was recently named Best Regional Bank in 2024 by Bankrate and was named to The Dallas Morning News' Dallas-Fort Worth metroplex Top Workplaces 2023 and GoBankingRate's 2023 list of Best Regional Banks. For more information about joining our team, please visit us at www.texascapitalbank.com.

Overview

Own analytics that directly influence Finance strategy. Partner with leaders to translate business needs into insights, and build toward AI- and advanced analytics-driven solutions that accelerate impact. You'll operate independently, collaborate as a technical peer with engineers and fellow BI analysts, and see your work drive real decisions. This role is ideal for someone with 3-5+ years of experience who wants end-to-end ownership of analytical problems and brings the technical foundation and curiosity to grow in AI-powered analytics.


Key Responsibilities

We're building the next generation of Finance analytics, moving from static reporting to dynamic, AI-assisted insights that the CFO organization relies on daily. This role sits at that center: you'll maintain our existing financial data foundation while designing and deploying new analytics products that drive decisions on FP&A, liquidity management, and financial performance, increasingly with AI-powered workflows.

  • Write clean, well-documented SQL and Python that others can maintain and build on; learn to apply agentic AI to financial analytics workflows, automating insight generation, explaining anomalies in data, and accelerating report narratives
  • Build dashboards and data applications Finance teams actually use, and improve them based on real feedback
  • Validate data accuracy against business expectations and collaborate with data engineering and our data governance program to identify and resolve data quality issues
  • Translate analytical findings into clear narratives for Finance leadership, including the CFO and other senior stakeholders
  • Collaborate with senior analytics developers on AI integration: help design and test LLM-powered analytics workflows, learning prompt engineering, tool use, and multi-step reasoning for financial analysis
  • Proactively spot gaps in existing analytics and propose solutions, including where AI tooling could unlock new capabilities
  • Participate in code reviews and communities of practice to share learnings and contribute to the growing AI analytics practice within the organization

Required Qualifications

  • 3-5+ years of hands-on experience in analytics or data science
  • Proficiency in SQL and Python; comfortable writing production-quality, version-controlled code
  • Familiarity with dimensional modeling and cloud data warehouses; Snowflake experience is a plus
  • Hands-on experience building dashboards in at least one modern BI tool (Power BI, Sigma, Looker, or similar)
  • Able to communicate technical work clearly to non-technical audiences
  • Bachelor's degree in a quantitative field (Computer Science, Data Science, Statistics, Engineering, or related) required

Preferred Qualifications

  • Foundational knowledge of AI and LLMs: basic understanding of how language models work, prompt engineering concepts, and API integration
  • Background in financial reporting, FP&A, or related Finance operations
  • Experience with Streamlit or Posit for analytical applications
  • Comfortable with code reviews, version control, and iterative delivery
  • Demonstrated eagerness to learn AI development with a growth mindset

The duties listed above are the essential functions, or fundamental duties within the job classification. The essential functions of individual positions within the classification may differ. Texas Capital Bank may assign reasonably related additional duties to individual employees consistent with standard departmental policy.Texas Capital is an Equal Opportunity Employer.

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