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Data Analytics Python Jobs in Texas (NOW HIRING)

Python Lead Developer

San Antonio, TX · On-site

$127K - $156K/yr

We are seeking a Data Engineer with strong Python expertise (primary) and DBT-based ELT experience (secondary) to support data ingestion, transformation, and pipeline development for Data Analytics ...

Python Developer with GenAI

Dallas, TX · On-site

$50 - $68.75/hr

Pandas - data manipulation, merges, and data-analytics. Proficiency with Python libraries PySpark, pytest, PyMongo, cxOracle, PyExcel, Boto3, Psycopg, embedPy, NumPy and Beautiful Soup. xlwings ...

New

Python Developer with GenAI

Plano, TX · On-site

$48.25 - $66.50/hr

Pandas - data manipulation, merges, and data-analytics. Proficiency with Python libraries PySpark, pytest, PyMongo, cxOracle, PyExcel, Boto3, Psycopg, embedPy, NumPy and Beautiful Soup. xlwings ...

New

The data analyst will analyze, design, create, maintain, update, manage and present Tableau ... Responsibilities: * 10%, Analyze datasets using SQL, Cicada and Python. * 60%, Design, create ...

As a Sr. Manager, Data Analytics, supporting Internal Audit you will ensure our analytical ... Strong Alteryx, SQL, Python skills. * Familiarity with Artificial Intelligence, machine learning ...

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Showing results 1-20

Data Analytics Python information

What are some typical challenges faced when working as a Data Analytics Python professional, and how can they be addressed?

Data Analytics Python professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and optimizing code for performance. Collaborating with cross-functional teams to understand business requirements and communicating insights clearly can also be demanding. To address these challenges, it's important to stay updated with best practices in data cleaning, leverage efficient libraries like pandas and NumPy, and engage in regular communication with stakeholders to align on project goals. Additionally, participating in code reviews and continuous learning can help maintain high standards and drive professional growth.

What are Data Analytics Python professionals?

Data Analytics Python professionals are specialists who use the Python programming language to analyze, interpret, and visualize data. They apply statistical techniques, build predictive models, and generate insights to help organizations make data-driven decisions. Their work often involves cleaning and preparing data, using libraries like Pandas, NumPy, and Matplotlib, and communicating findings to stakeholders. These professionals are in high demand across industries due to the growing importance of data in business strategy.

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

To thrive as a Data Analytics Python professional, you need a strong background in statistics, data interpretation, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Matplotlib, Jupyter Notebooks, and possibly certifications in data analytics or Python are highly valuable. Critical thinking, problem-solving ability, and effective communication help translate complex data findings into actionable business insights. These skills are essential for extracting meaningful information from data and driving data-informed decisions in organizations.

What is the difference between Data Analytics Python vs Data Analyst?

AspectData Analytics PythonData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone specific, often data analysis or business certifications
Work EnvironmentData science teams, tech companies, analytics departmentsBusiness units, finance, marketing, consulting firms
Tools & TechnologiesPython, Jupyter, Pandas, NumPy, visualization librariesExcel, SQL, Tableau, Power BI

Data Analytics Python focuses on using Python programming for data analysis, requiring coding skills and advanced statistical knowledge. In contrast, Data Analysts often work with tools like Excel and SQL for data interpretation and reporting. Both roles are essential in data-driven industries but differ in technical depth and toolsets.

What are popular job titles related to Data Analytics Python jobs in Texas? For Data Analytics Python jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Data Analytics Python jobs? Cities in Texas with the most Data Analytics Python job openings:
Infographic showing various Data Analytics Python job openings in Texas as of June 2026, with employment types broken down into 62% Full Time, 35% Part Time, and 3% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Senior Consultant-AI and Data Risk Management

Senior Consultant-AI and Data Risk Management

Deloitte

Houston, TX

Other

Posted 29 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 139 rated financial services


Job description

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

As a Senior Consultant in our AI & Data Risk team, you will play a critical role in delivering innovative data-driven solutions for clients across financial services, fintech, and technology industry sectors. You will:

  • Serve as a key contributor on multi-disciplinary teams, collaborating closely with managers and client stakeholders to deliver high-quality data and analytics engagements
  • Guide and mentor junior team members, providing direction on project tasks and supporting skill development
  • Assist in the design, implementation, and optimization of data management solutions - this includes data architecture, platforms, governance, quality, and security initiatives
  • Apply your knowledge of Financial Services industry systems and technologies to build robust, scalable solutions
  • Support the integration of next-generation technologies such as cloud platforms, machine learning, and Generative AI (GenAI) within client solutions and project deliverables
  • Conduct technical analysis, develop data pipelines, and contribute to technical reviews for solutions built by the team
  • Collaborate with cross-functional teams-both internal and external-to execute project tasks and fulfill engagement objectives
  • Develop and utilize analytics and visualization tools to transform complex data into meaningful insights for clients
  • Prepare project documentation, status updates, and client-ready deliverables highlighting progress, technical findings, and recommendations
  • Present findings and insights to stakeholders in a clear and compelling manner

The successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
    Effective written and verbal communication skills
    Meticulous attention to detail and quality of work product
    Ability to build and sustain professional relationships 
    Ability to lead projects or workstreams
    Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
    Strong interpersonal skills and professional demeanor 
    Ability to meet deadlines
    Ability to provide clear guidance to others

The team

Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.

Required Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
  • 4+ years' experience in data architecture, data management, or data engineering
  • 2+ years of experience in the financial services or fintech industry
  • Demonstrated proficiency in relevant tools and platforms, including:
  • Programming/Scripting: Python, SQL, R, Java, Scala, etc.
  • Big Data Tools: Databricks, Snowflake, Apache Spark/Kafka, etc.
  • Data Management: Collibra, Alation, Informatica, Alteryx, etc.
  • Predictive Analytics: Python, IBM SPSS, SAS, RPL, etc.
  • Data Visualization: Tableau, PowerBI, Qlik, etc.
  • Data Mining/Data Warehousing: Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.
  • Experience and familiarity with:
  • Banking regulatory reporting tools (e.g., Axiom)
  • Data integration and migration projects in financial services
  • Data governance best practices, especially in regulatory contexts
  • Strong analytical skills and experience with managing and manipulating large datasets
  • Excellent written and verbal communication skills for presenting complex technical information to both technical and non-technical stakeholders
  • Demonstrated ability to solve complex problems in fast-paced environments
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available

 Preferred Qualifications:

  • Master's degree in Computer Science, Information Technology, Information Systems, or business-related field
  • Related certifications such as PMP, AWS/Azure/GCP Cloud Certification, or CDMP
  • 3+ years of experience in the financial services or technology industry

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.  The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.  At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  A reasonable estimate of the current range is $116,200 to $229,100


Qualifications:

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

As a Senior Consultant in our AI & Data Risk team, you will play a critical role in delivering innovative data-driven solutions for clients across financial services, fintech, and technology industry sectors. You will:

  • Serve as a key contributor on multi-disciplinary teams, collaborating closely with managers and client stakeholders to deliver high-quality data and analytics engagements
  • Guide and mentor junior team members, providing direction on project tasks and supporting skill development
  • Assist in the design, implementation, and optimization of data management solutions - this includes data architecture, platforms, governance, quality, and security initiatives
  • Apply your knowledge of Financial Services industry systems and technologies to build robust, scalable solutions
  • Support the integration of next-generation technologies such as cloud platforms, machine learning, and Generative AI (GenAI) within client solutions and project deliverables
  • Conduct technical analysis, develop data pipelines, and contribute to technical reviews for solutions built by the team
  • Collaborate with cross-functional teams-both internal and external-to execute project tasks and fulfill engagement objectives
  • Develop and utilize analytics and visualization tools to transform complex data into meaningful insights for clients
  • Prepare project documentation, status updates, and client-ready deliverables highlighting progress, technical findings, and recommendations
  • Present findings and insights to stakeholders in a clear and compelling manner

The successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
    Effective written and verbal communication skills
    Meticulous attention to detail and quality of work product
    Ability to build and sustain professional relationships 
    Ability to lead projects or workstreams
    Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
    Strong interpersonal skills and professional demeanor 
    Ability to meet deadlines
    Ability to provide clear guidance to others

The team

Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.

Required Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
  • 4+ years' experience in data architecture, data management, or data engineering
  • 2+ years of experience in the financial services or fintech industry
  • Demonstrated proficiency in relevant tools and platforms, including:
  • Programming/Scripting: Python, SQL, R, Java, Scala, etc.
  • Big Data Tools: Databricks, Snowflake, Apache Spark/Kafka, etc.
  • Data Management: Collibra, Alation, Informatica, Alteryx, etc.
  • Predictive Analytics: Python, IBM SPSS, SAS, RPL, etc.
  • Data Visualization: Tableau, PowerBI, Qlik, etc.
  • Data Mining/Data Warehousing: Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.
  • Experience and familiarity with:
  • Banking regulatory reporting tools (e.g., Axiom)
  • Data integration and migration projects in financial services
  • Data governance best practices, especially in regulatory contexts
  • Strong analytical skills and experience with managing and manipulating large datasets
  • Excellent written and verbal communication skills for presenting complex technical information to both technical and non-technical stakeholders
  • Demonstrated ability to solve complex problems in fast-paced environments
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available

 Preferred Qualifications:

  • Master's degree in Computer Science, Information Technology, Information Systems, or business-related field
  • Related certifications such as PMP, AWS/Azure/GCP Cloud Certification, or CDMP
  • 3+ years of experience in the financial services or technology industry

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.  The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.  At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  A reasonable estimate of the current range is $116,200 to $229,100


Education:Bachelor's DegreeEmployment Type:

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