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Principal Data Analyst Jobs in Texas (NOW HIRING)

As a Principal Data Engineer, you will be responsible for architecting, designing, and implementing ... Develop data models and schemas that support efficient data storage, retrieval, and analytics ...

As a Principal Data Engineer, you will be responsible for architecting, designing, and implementing ... Develop data models and schemas that support efficient data storage, retrieval, and analytics ...

As a Principal Data Engineer, you will be responsible for architecting, designing, and implementing ... Develop data models and schemas that support efficient data storage, retrieval, and analytics ...

As a Principal Data Engineer, you will be responsible for architecting, designing, and implementing ... Develop data models and schemas that support efficient data storage, retrieval, and analytics ...

As a strategic individual contributor, the Principal Data Architect will partner with executive leadership, Engineering, Analytics, Security, and Product teams to ensure data is reliable, secure ...

As a strategic individual contributor, the Principal Data Architect will partner with executive leadership, Engineering, Analytics, Security, and Product teams to ensure data is reliable, secure ...

Principal Data Engineer

Houston, TX · On-site

$160 - $220/hr

We are seeking a Principal Data Engineer to lead the architecture, design, and delivery of modern data platforms and analytics solutions for clients. This is a hands‑on technical leadership role ...

Principal Data Engineer

Dallas, TX · On-site

$160 - $220/hr

We are seeking a Principal Data Engineer to lead the architecture, design, and delivery of modern data platforms and analytics solutions for clients. This is a hands‑on technical leadership role ...

New

Principal Data Architect Description - We are seeking a Data Engineering Architect who will lead ... Identify and prioritize high-value analytics and AI opportunities leveraging telemetry, operational ...

We are seeking a Principal Data Engineer to lead the architecture, design, and delivery of modern data platforms and analytics solutions for clients. This is a hands-on technical leadership role for ...

We are seeking a Principal Data Engineer to lead the architecture, design, and delivery of modern data platforms and analytics solutions for clients. This is a hands-on technical leadership role for ...

Principal Data Engineer - Graph Data Engineering Neo4j Role Summary As Principal Data Engineer, you ... Partner with data science and analytics teams to enable graph-based feature engineering and machine ...

Showing results 21-40

Principal Data Analyst information

See Texas salary details

$31.7K

$77K

$126.7K

How much do principal data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for principal data analyst in Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What is a principal data analyst?

Principal Data Analysts are senior-level professionals who lead complex data analysis projects within an organization. They are responsible for interpreting large datasets, designing analytical models, and providing strategic insights to guide business decisions. In addition to technical expertise, they often mentor junior analysts, collaborate with stakeholders, and help set data strategy. Principal Data Analysts typically have extensive experience and a deep understanding of both data science and the industry in which they work.

What does a principal data analyst do?

A Principal Data Analyst often plays a key role in cross-functional projects by acting as the primary liaison between data teams and business stakeholders. They lead the design and execution of complex analyses, ensuring that project requirements are clearly understood and data-driven insights align with organizational goals. This role involves collaborating closely with product managers, engineers, and executives to translate business questions into actionable analytical solutions, while also mentoring junior analysts and establishing best practices. Their strategic input is critical to shaping data-driven decision-making across departments.

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

To thrive as a Principal Data Analyst, you need advanced expertise in data analysis, statistical modeling, and data visualization, often backed by a degree in a quantitative field and several years of experience. Mastery of tools such as SQL, Python or R, business intelligence platforms, and data warehousing systems is typically required, along with relevant certifications like Certified Analytics Professional (CAP). Exceptional problem-solving, leadership, and communication skills set top analysts apart, enabling them to translate complex data into actionable business insights. These competencies are essential for driving data-driven decision-making and leading analytical projects that align with organizational goals.

What is the difference between Principal Data Analyst vs Data Scientist?

AspectPrincipal Data AnalystData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; strong analytical skillsBachelor's or Master's in Data Science, Computer Science, or related; programming skills often emphasized
Work EnvironmentBusiness-focused, analyzing data to inform decisions, often within corporate teamsResearch and development environment, building models, exploring data, often in tech or research firms
Employer & Industry UsageCommon in finance, healthcare, retail, and corporate sectorsPrevalent in tech, e-commerce, and research organizations

The main difference between a Principal Data Analyst and a Data Scientist lies in their focus and skill set. Principal Data Analysts typically concentrate on interpreting data to support business decisions, while Data Scientists often develop predictive models and algorithms. Both roles require strong analytical skills and relevant education, but Data Scientists usually have more programming expertise and a focus on machine learning. Understanding these distinctions helps organizations hire the right talent for their data needs.

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

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

What cities in Texas are hiring for Principal Data Analyst jobs?

Cities in Texas with the most Principal Data Analyst job openings:

Infographic showing various Principal Data Analyst job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $76,992 per year, or $37 per hour.

Principal Data Engineer

TXU Energy

Irving, TX • Hybrid

Full-time

Re-posted 13 days ago


Key responsibilities

  • Lead the design and development of scalable and reliable data pipelines, including data ingestion, processing, storage, and retrieval.

  • Develop data models and schemas that support efficient data storage, retrieval, and analytics, employing optimization techniques to enhance query performance and scalability.

  • Manage and optimize data infrastructure, including cloud-based platforms, containerization technologies, and distributed computing environments.


Job description

If you have what it takes to become part of the Vistra family and would like to start a promising career with a global leader, take a look at the exciting employment opportunities that are currently available and apply online.

Job Summary

We are seeking a highly skilled and experienced Principal Data Engineer to join our team. As a Principal Data Engineer, you will be responsible for architecting, designing, and implementing scalable and robust data solutions that enable efficient data processing, storage, and retrieval. You will provide technical leadership, drive innovation, and ensure the integrity and reliability of our data infrastructure. This is a senior-level position that requires exceptional technical expertise, strong leadership capabilities, and a proven track record of successfully delivering complex data engineering projects.

Job Description

Key Accountabilities

  • Lead the design and development of scalable and reliable data pipelines, including data ingestion, processing, storage, and retrieval.
  • Develop data models and schemas that support efficient data storage, retrieval, and analytics, employing optimization techniques to enhance query performance and scalability.
  • Leverage big data technologies and frameworks (e.g., Hadoop, Spark, Hive) to process and analyze large volumes of data, enabling advanced analytics and machine learning initiatives.
  • Manage and optimize data infrastructure, including cloud-based platforms, containerization technologies, and distributed computing environments.
  • Work closely with other teams, including Data Science, Analytics, and Product, to understand their data needs and requirements.
  • Develop and implement best practices for data modeling, storage, and retrieval.
  • Ensure the security and privacy of our data and compliance with relevant regulations.
  • Develop and maintain documentation for all data processes and systems.
  • Evaluate new technologies and tools for data processing, storage, and retrieval and recommend solutions to improve the efficiency and scalability of our data infrastructure.
  • Propose and lead continuous improvement opportunities.
  • Mentor team members to develop their technical and leadership skills.

Education, Experience, & Skill Requirements

  • 9-11 years of experience in data engineering, including experience in designing and building data pipelines
  • Strong proficiency in data engineering technologies, such as ETL frameworks, big data processing, and SQL and NoSQL databases.
  • Deep understanding of database systems, data modeling, and data warehousing.
  • Experience with cloud-based data storage and processing technologies, such as AWS, Azure, or Google Cloud.

Key Metrics

  • Understanding of data privacy and data governance policies.
  • Strong problem-solving and analytical skills.
  • Ability to work collaboratively in a team environment.
  • Strong communication and interpersonal skills.
  • Ability to lead and manage projects.
  • Experience in leading a team of data engineers and managing complex projects.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Excellent communication skills and ability to work collaboratively with cross-functional teams.
  • Experience with agile software development methodologies.

#LI-Hybrid

#LI-ND1

#Dice

Job Family

Data Analytics

Company

Vistra Corporate Services Company

Locations

Irving, TexasTexas
We are a company of people committed to: Exceeding Customer Expectations, Great People, Teamwork, Competitive Spirit and Effective Communication. If this describes you, then apply today!
If you currently work for Vistra or its subsidiaries, please apply via the internal career site.

It is the policy of the Company to comply with all employment laws and to afford equal employment opportunity to individuals in all aspects of employment, including in selection for job opportunities, without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, disability, genetic information, military service, protected veteran status, or any other consideration protected by federal, state or local laws.

If you are an individual with a disability and need assistance submitting an application or would like to request an accommodation, please email usatassistance@vistraenergy.comtomake a request.