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Quantitative Data Analyst Jobs in Texas (NOW HIRING)

... of quantitative information and have a passion for high impact data storytelling. Essential ... Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns ...

... of quantitative information and have a passion for high impact data storytelling. Essential ... Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns ...

... of quantitative information and have a passion for high impact data storytelling. Essential ... Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns ...

... of quantitative information and have a passion for high impact data storytelling. Essential ... Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns ...

You will work closely with portfolio managers, developers, and other researchers to turn data into ... Strong quantitative and analytical skills with experience working on large and complex datasets

Senior Data Analyst

San Antonio, TX · On-site

$77K - $97K/yr

Utilize skills in quantitative analysis, data wrangling, and data storytelling to see beyond the numbers and understand how data can enhance end user decision making and process flow optimizations.

SIMILAR CAREER TITLESBusiness Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing Analyst, Operations Analyst, Reporting Analyst, Insights Analyst, Research Analyst, Quantitative ...

Senior Data Analyst

San Antonio, TX · On-site

$77K - $97K/yr

Utilize skills in quantitative analysis, data wrangling, and data storytelling to see beyond the numbers and understand how data can enhance end user decision making and process flow optimizations.

Senior Data Analyst

San Antonio, TX

$77K - $97K/yr

Utilize skills in quantitative analysis, data wrangling, and data storytelling to see beyond the numbers and understand how data can enhance end user decision making and process flow optimizations.

SIMILAR CAREER TITLES Business Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing Analyst, Operations Analyst, Reporting Analyst, Insights Analyst, Research Analyst, Quantitative ...

Sr. Data Analyst

Richardson, TX · On-site

$78K - $98K/yr

We are seeking a highly skilled Senior Data Analyst with 4+ years of professional analytics experience and a Master's degree in Analytics, Data Science, Statistics, or a related quantitative field to ...

Senior Data Analyst

San Antonio, TX

$77K - $97K/yr

Utilize skills in quantitative analysis, data wrangling, and data storytelling to see beyond the numbers and understand how data can enhance end user decision making and process flow optimizations.

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field ...

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field ...

Sr. Data Analyst

Richardson, TX

$78K - $98K/yr

We are seeking a highly skilled Senior Data Analyst with 4+ years of professional analytics experience and a Master's degree in Analytics, Data Science, Statistics, or a related quantitative field to ...

Data Analyst

Austin, TX · On-site

$77K - $114K/yr

Strong written and oral communication skills * 2+ years of work experience in data analytics or data science roles * BS in Computer Science, Math, Statistics, Economics, or other quantitative field;

Showing results 21-40

Quantitative Data Analyst information

See Texas salary details

$52.6K

$124.7K

$223.6K

How much do quantitative data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for quantitative data analyst in Texas is $124,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $135,600.00 per year, depending on experience, location, and employer.

Is it hard to become a quantitative data analyst?

Becoming a quantitative data analyst typically requires strong skills in mathematics, statistics, and programming, often gained through a bachelor's degree in a related field such as mathematics, economics, or computer science. Gaining proficiency in tools like Python, R, or SQL and obtaining relevant certifications can also improve job prospects, but the level of difficulty varies based on individual background and experience.

What does a quantitative data analyst do?

A Quantitative Data Analyst uses statistical, mathematical, and computational techniques to analyze complex datasets and derive meaningful insights. They work with large datasets to identify patterns, trends, and correlations that support data-driven decision-making. Typically, they use programming languages like Python, R, and SQL, along with tools like Excel and machine learning models. Their work is crucial in industries like finance, healthcare, and technology, where data-driven strategies improve efficiency and outcomes.

What are some common challenges quantitative data analysts face in their day-to-day work?

Quantitative Data Analysts often encounter challenges such as ensuring data accuracy, cleaning large and complex datasets, and managing inconsistent or incomplete information. They may also need to translate abstract statistical findings into clear, actionable recommendations for team members who may not have a technical background. Additionally, balancing multiple projects and tight deadlines can require strong organizational skills. Collaborating effectively with colleagues from different departments helps to align analytical solutions with business objectives and ensures that insights drive real impact.

What are the key skills and qualifications needed to thrive as a quantitative data analyst?

To thrive as a Quantitative Data Analyst, you need strong analytical skills, proficiency in statistics and mathematics, and a relevant degree such as in mathematics, statistics, economics, or computer science. Expertise with technical tools like SQL, Python, R, data visualization platforms, and possibly certifications in data analytics or statistical software is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help analysts interpret data and present actionable insights to diverse stakeholders. These competencies ensure the accurate analysis and clear presentation of complex data, enabling informed business decisions and organizational success.

What are the most commonly searched types of Quantitative Data Analyst jobs in Texas? The most popular types of Quantitative Data Analyst jobs in Texas are:
What job categories do people searching Quantitative Data Analyst jobs in Texas look for? The top searched job categories for Quantitative Data Analyst jobs in Texas are:
What cities in Texas are hiring for Quantitative Data Analyst jobs? Cities in Texas with the most Quantitative Data Analyst job openings:
Infographic showing various Quantitative Data Analyst job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,727 per year, or $60 per hour.

Enterprise Data Analyst

Husch Blackwell LLP

Dallas, TX • On-site, Remote

Full-time

Posted 15 days ago


Husch Blackwell rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

3rd of 34 rated law firms


Job description

Husch Blackwell LLP is a full-service litigation and business law firm with multiple locations across the United States, serving clients with domestic and international operations.

At Husch Blackwell we believe that diverse, equitable and inclusive teams lead to better outcomes. Husch Blackwell is committed to retaining, recruiting, developing, and promoting talented lawyers and business professionals with diverse backgrounds and experiences. We foster an engaged, diverse, and inclusive team culture of accountability and purpose that makes our Firm and our communities better.

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation. If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Enterprise Data Analyst position. This position may be filled remotely or in a hybrid capacity in any of our Central and Eastern Time locations. Strong candidates located in Mountain Time will also be considered.

The Enterprise Data Analyst is a firmwide shared-services role within the Firm’s Data Science function. The analyst turns the Firm’s data, client data, and the extensive internal data the Firm maintains into clear, actionable insight, delivered primarily through Power BI dashboards and reports that teams across the Firm rely on. The role will initially support a key business unit, with scope expanding to serve additional practice groups and functions across the Firm over time. The right candidate will be skilled in the visual display of quantitative information and have a passion for high impact data storytelling. Essential functions include:

Data Analysis & Insight

  • Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns, and actionable insights
  • Clean, transform, and structure data to ensure accuracy, consistency, and readiness for analysis
  • Apply statistical and data-modeling techniques to answer business questions and support decision-making
  • Leverage AI and generative-AI tools to accelerate analysis, automate routine tasks, and enhance data products
  • Translate stakeholder questions into clearly defined analytical problems, prioritizing work by impact and urgency

Dashboarding & Reporting

  • Design, build, and maintain Power BI dashboards that serve as the Firm’s primary, everyday reporting tools
  • Build automated, self-service reports and visualizations in Power BI and Tableau, tailored to different audiences across the Firm
  • Use data storytelling to deliver client-facing data presentations and executive-level reports that communicate findings clearly to key partners, clients, and other internal and external stakeholders, and drive action
  • Collaborate with the Data Science Information Design and Engineering function to deliver data visualization and information rich analyses across various media types
  • Streamline and standardize reporting processes to ensure timely, accurate delivery of key metrics

Data Management & Quality

  • Partner with the Data Engineering team to source, integrate, and validate data from across the Firm
  • Develop and apply data quality standards to ensure reliable, trustworthy outputs
  • Document data sources, definitions, and methodologies to support consistency and reuse
  • Maintain and enhance existing datasets, models, and reporting pipelines

Cross-Functional Collaboration

  • Partner with teams across the Firm; including Finance and client-facing groups to gather requirements and align on objectives
  • Work directly with internal stakeholders and, where appropriate, clients to understand needs and deliver solutions
  • Connect analytical findings to business outcomes and Firm priorities

Continuous Improvement & Growth

  • Share knowledge and best practices to elevate data and analytics capabilities across the Firm
  • Identify opportunities to automate, improve, and scale analytics as the function grows
  • Contribute to building out the Firm’s enterprise data and analytics capabilities over time
  • Develop and improve reporting and business intelligence techniques to align the firm with leading edge information and business intelligence delivery
  • Engage in research and study to continuously improve the Firm’s reporting and business intelligence

POSITION REQUIREMENTS

  • Bachelor’s degree in statistics, economics, computer science, information design, or a related quantitative communications field; commensurate professional and educational experience shall also qualify
  • 3+ years in data analysis, business intelligence, or a related analytical role (the role may be filled at more than one level; strong candidates earlier in their careers will also be considered)
  • Advanced, demonstrable proficiency in Power BI is required; including building, publishing, and maintaining production dashboards
  • Strong proficiency in Excel and SQL, with experience querying and working with large, complex datasets
  • Proficiency with basic statistical and analytical tools including the Python statistical ecosystem
  • Experience working with data warehouses, databases, and modern BI/data platforms
  • Strong data storytelling skills, with a proven ability to design clear, effective data visualizations and deliver client-facing presentations to partners, clients, and other internal and external stakeholders
  • Experience with statistical modeling, regression analysis, and null hypothesis significance testing
  • Proven ability to independently scope and lead complex data analysis projects
  • Experience analyzing financial and operational performance metrics and the drivers behind them
  • Fluent in translating complex data into clear implications and actionable recommendations for the business
  • Comfortable working with large, complex datasets and developing data quality standards
  • Experience working directly with senior stakeholders and, where appropriate, clients
  • Operates with a client-service mindset; responsive, proactive, and a trusted advisor
  • Comfortable working at both strategic and tactical levels
  • Thrives in fast-paced environments with shifting priorities
  • Strong attention to detail and ability to maintain accuracy under pressure
  • Eager to contribute beyond assigned tasks and play a key role in the growth of a new, firmwide analytics function
  • Understanding of data confidentiality and the sensitivity of legal and client information

Preferred Qualifications

  • Experience supporting multiple business units or functions in a shared-services or enterprise environment
  • Experience with data pipeline or ETL processes and working alongside data engineers
  • Experience applying AI and generative-AI tools to accelerate and enhance analytics
  • Familiarity and comfort with executive level communication and presentations

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements. The Firm will provide reasonable accommodations as necessary to allow an individual with a disability to apply for and/or perform the essential functions of a position. If you need assistance to accommodate a disability, please contact HR.

COMPENSATION AND BENEFITS

Employees are entitled to compensation commensurate with skill and experience. The exact compensation will vary based on skills, experience, location, and other factors permitted by law. The expected compensation ranges for this position in various states and jurisdictions are as follows:

  • State of California: $116,000 - $237,000
  • State of Colorado: $107,000 - $191,000
  • State of Illinois: $105,000 - $204,000
  • State of Maine: $79,000 - $182,000
  • State of Maryland: $113,000 - $171,000
  • State of Massachusetts: $116,000 - $222,000
  • State of Minnesota: $116,000 - $192,000
  • Jersey City, NJ: $126,000 - $229,000
  • State of New York: $108,000 - $234,000
  • State of Vermont: $115,000 - $220,000
  • State of Virginia: $76,000 - $220,000
  • State of Washington: $113,000 - $214,000
  • Washington, D.C.: $150,000 - $220,000

The above salaries do not include a discretionary bonus, however bonus opportunities are non-guaranteed, and are dependent upon individual and firm performance. Full-time employees receive benefits including: medical and dental coverage; life insurance; short-term and long-term disability insurance; pre-tax flexible spending account for certain medical and dependent care expenses; an employee assistance program; Paid Time Off; paid holidays; participation in a retirement plan program after meeting eligibility requirements; and more.

Please include a cover letter and resume when applying.

EOE/Minority/Female/Disabled/Vet. Principal Applicants Only.

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