ZipRecruiter

Log In

1

Data Analytics Python Jobs in Texas (NOW HIRING)

Deloitte

Data Analytics Manager- Data Lake

Dallas, TX · On-site

Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras ... As a Manager, you will lead teams delivering cyber analytics, AI, and security operations solutions ...

Deloitte

Data Analytics Manager- Data Lake

Austin, TX · On-site

Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras ... As a Manager, you will lead teams delivering cyber analytics, AI, and security operations solutions ...

Deloitte

Workforce Data & Analytics Manager

Austin, TX · On-site

... and Python * 5+ years of experience with data warehouses and data lakes, including Amazon Web ... Experience applying analytics and data visualization tools, including Tableau or Power BI, across ...

Oscar Health

Associate, Operations Data Analytics

Dallas, TX · Remote

$91.66K - $120.30K/yr

We're hiring a Data Analytics Associate to join our Service Operations Data Analytics team. Oscar ... Experience using Python or R * 2+ years experience in healthcare or insurance industry * Exposure ...

Deloitte

Data Analytics Manager- Data Lake

Austin, TX · On-site

As a Manager, you will lead teams delivering cyber analytics, AI, and security operations solutions ... Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras ...

Deloitte

Workforce Data & Analytics Manager

Dallas, TX · On-site

... and Python * 5+ years of experience with data warehouses and data lakes, including Amazon Web ... Experience applying analytics and data visualization tools, including Tableau or Power BI, across ...

Deloitte

Workforce Data & Analytics Manager

Houston, TX · On-site

... and Python * 5+ years of experience with data warehouses and data lakes, including Amazon Web ... Experience applying analytics and data visualization tools, including Tableau or Power BI, across ...

S3b Global Inc

Data & Analytics (CPG Domain)

Dallas, TX · On-site

Guide teams in automating ETL workflows using SQL, Python, and R, and building pipelines Implement ... ML basics, statistical analysis, data profiling Domain & Leadership Strong experience in Consumer ...

AllRight Jobs Inc

Python Developer ARJ/118

Houston, TX · On-site

$90 - $95/hr

... analytics solutions using Python, Databricks, and statistical modeling techniques. - Special emphasis on Monte Carlo simulations and risk-focused data analysis. - Responsible for translating ...

next page

Showing results 1-20

People also search for

All JobsData Analytics Python JobsData Analytics Python Jobs in Texas

Data Analytics Python information

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 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 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 job categories do people searching Data Analytics Python jobs in Texas look for? The top searched job categories for Data Analytics Python jobs in Texas are:
What cities in Texas are hiring for Data Analytics Python jobs? Cities in Texas with the most Data Analytics Python job openings:
Data Analytics Python jobs near you
Infographic showing various Data Analytics Python job openings in Texas as of May 2026, with employment types broken down into 1% Internship, 3% As Needed, 29% Full Time, 52% Part Time, 14% Contract, and 1% Nights. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution.
Data Analytics Manager- Data Lake

Data Analytics Manager- Data Lake

Deloitte

Houston, TX

Other

Posted 4 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services

Job description

Senior Consultant - Cyber Defense & Resilience - Security Operations

Are you interested in working in a dynamic environment that offers opportunities for professional growth and new responsibilities? If so, Deloitte could be the place for you. Traditional security programs have often been unsuccessful in unifying the need to both secure and support technology innovation required by the business. Join Deloitte's Cyber Defense & Resilience (D&R) Security Operations team and become a member of the largest group of cybersecurity professionals worldwide.

As a Manager, you will lead teams delivering cyber analytics, AI, and security operations solutions for clients. You will oversee workstreams, manage client relationships, guide solution design and delivery, and help develop practitioners while driving high-quality outcomes across cyber detection, response, and resilience engagements.

Recruiting for this role ends on 5/31/2026

The Team

Cyber Defense & Resilience is an integrated team of security and data technologists working  at the intersection cybersecurity, advanced cyber data engineering and the use of AI and ML for cyber defense and operations issues. We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across security data modernization, data ops, AI, and ML, and the use of these disciplines towards cyber specific solutioning. Through our unrivaled breadth and depth of services across every major industry and domain, we help our clients run smarter, faster, and more efficiently. With Deloitte's AI & Data, our clients have the support they need to continuously develop, innovate, automate, scale, and operate in service of organizational performance and growth.

Cyber Detect & Respond practitioners work with our clients to:

  • Lead the design and modernization of large-scale cyber data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement scalable as-a-service operating models
  • Architect and deploy advanced cyber big data and AI technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, and platforms such as Splunk, CrowdStrike, and Palo Alto
  • Oversee day-to-day operations, maintenance, and ongoing enhancement of data platforms and applications, including governance and AI-enabled Data Ops capabilities
  • Help clients mature their AI and Analytics journey by shaping roadmaps, scaling use cases, and aligning cyber analytics investments to business and operational outcomes

Qualifications:

Required:

  • 6+ years of relevant analytics consulting or industry experience
  • 4+ years of experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (LangChain, CrewAI, etc.)
  • 4+ years of experience in statistical analysis, machine learning, and data mining techniques
  • 4+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support enterprise-grade analytics solutions
  • 3+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.)
  • 2+ years of experience with SOC threat hunting and incident response
  • Demonstrated expertise leading multiple full life cycle analytics engagements across strategy, design, and implementation
  • Experience leading teams, managing workstreams, and driving delivery quality in a client-facing environment
  • Bachelor's Degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or related field; or 4 years equivalent professional experience
  • 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:

  • Experience architecting, designing, developing and deploying enterprise data science solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services as well the use of big data tools for the management of massive datasets.
  • Knowledge of the intersection of AI / ML / Advanced Data Engineering and cybersecurity specific use cases for Detection, cyber threat response acceleration.
  • Experience parsing and normalizing cyber or IT specific telemetry datasets
  • Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy
  • Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end to end data management life cycle
  • Ability to work independently and manage multiple task assignments.
  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
#CDRCyber26
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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 $144,200 to $265,600.
Qualifications:

Senior Consultant - Cyber Defense & Resilience - Security Operations

Are you interested in working in a dynamic environment that offers opportunities for professional growth and new responsibilities? If so, Deloitte could be the place for you. Traditional security programs have often been unsuccessful in unifying the need to both secure and support technology innovation required by the business. Join Deloitte's Cyber Defense & Resilience (D&R) Security Operations team and become a member of the largest group of cybersecurity professionals worldwide.

As a Manager, you will lead teams delivering cyber analytics, AI, and security operations solutions for clients. You will oversee workstreams, manage client relationships, guide solution design and delivery, and help develop practitioners while driving high-quality outcomes across cyber detection, response, and resilience engagements.

Recruiting for this role ends on 5/31/2026

The Team

Cyber Defense & Resilience is an integrated team of security and data technologists working  at the intersection cybersecurity, advanced cyber data engineering and the use of AI and ML for cyber defense and operations issues. We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across security data modernization, data ops, AI, and ML, and the use of these disciplines towards cyber specific solutioning. Through our unrivaled breadth and depth of services across every major industry and domain, we help our clients run smarter, faster, and more efficiently. With Deloitte's AI & Data, our clients have the support they need to continuously develop, innovate, automate, scale, and operate in service of organizational performance and growth.

Cyber Detect & Respond practitioners work with our clients to:

  • Lead the design and modernization of large-scale cyber data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement scalable as-a-service operating models
  • Architect and deploy advanced cyber big data and AI technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, and platforms such as Splunk, CrowdStrike, and Palo Alto
  • Oversee day-to-day operations, maintenance, and ongoing enhancement of data platforms and applications, including governance and AI-enabled Data Ops capabilities
  • Help clients mature their AI and Analytics journey by shaping roadmaps, scaling use cases, and aligning cyber analytics investments to business and operational outcomes

Qualifications:

Required:

  • 6+ years of relevant analytics consulting or industry experience
  • 4+ years of experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (LangChain, CrewAI, etc.)
  • 4+ years of experience in statistical analysis, machine learning, and data mining techniques
  • 4+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support enterprise-grade analytics solutions
  • 3+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.)
  • 2+ years of experience with SOC threat hunting and incident response
  • Demonstrated expertise leading multiple full life cycle analytics engagements across strategy, design, and implementation
  • Experience leading teams, managing workstreams, and driving delivery quality in a client-facing environment
  • Bachelor's Degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or related field; or 4 years equivalent professional experience
  • 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:

  • Experience architecting, designing, developing and deploying enterprise data science solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services as well the use of big data tools for the management of massive datasets.
  • Knowledge of the intersection of AI / ML / Advanced Data Engineering and cybersecurity specific use cases for Detection, cyber threat response acceleration.
  • Experience parsing and normalizing cyber or IT specific telemetry datasets
  • Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy
  • Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end to end data management life cycle
  • Ability to work independently and manage multiple task assignments.
  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
#CDRCyber26
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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 $144,200 to $265,600.
Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply