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Jmp Data Analytics Jobs in Texas (NOW HIRING)

GM Financial

AVP Data Science

Fort Worth, TX · On-site

... data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components and linear programming techniques. * Advanced skills in Python, SAS, SQL, R, JMP, Excel ...

GM Financial

AVP Data Science

Fort Worth, TX · On-site

... data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components and linear programming techniques. * Advanced skills in Python, SAS, SQL, R, JMP, Excel ...

New

Apple

Data Center - MLB Reliability Engineer

Austin, TX · On-site

$101K - $127K/yr

Proficiency in statistical life data analysis Strong knowledge of Semiconductor package integration ... Proficiency with reliability software (e.g., Weibull++, BlockSim, JMP, Minitab) and scripting ...

Yulista

Senior Test & Evaluation Analyst

Fort Bliss, TX · On-site

... or data analytics. * Experience supporting live test events, operational assessments, or military exercises. * Proficiency with analytical and visualization tools such as MATLAB, Python, R, JMP ...

Yulista

Senior Test & Evaluation Analyst

Fort Bliss, TX · On-site

... or data analytics. * Experience supporting live test events, operational assessments, or military exercises. * Proficiency with analytical and visualization tools such as MATLAB, Python, R, JMP ...

Apple

Data Center - MLB Reliability Engineer

Austin, TX

$101K - $127K/yr

Apply physics-of-failure principles to analyze semiconductor packages, Second Level Interconnects ... Proficiency with reliability software (e.g., Weibull++, BlockSim, JMP, Minitab) and scripting ...

Advanced Micro Devices

SLT Test Engineer

Austin, TX · On-site

$90 - $130/hr

Experience with data analytics and visualization tools such as JMP, Snowflake, or similar platforms. * Familiarity with PC hardware, system bring-up, ATE environments, and hardware debug ...

Socket.dev

SLT Test Engineer

Austin, TX · On-site

$110 - $150/hr

Experience with data analytics and visualization tools such as JMP, Snowflake, or similar platforms. * Familiarity with PC hardware, system bring-up, ATE environments, and hardware debug ...

Cirrus Logic

Product Engineer

Austin, TX · On-site

Possesses a strong understanding of statistics and experience with high volume data analysis with Spotfire, JMP, SAS, dataConductor, or similar statistical analysis programs. * Knowledge of hardware ...

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Jmp Data Analytics information

What is JMP Data Analytics?

JMP Data Analytics refers to the use of the JMP software platform for statistical analysis and data visualization. JMP, developed by SAS, is widely used by scientists, engineers, and analysts to explore, analyze, and visualize data interactively. It offers tools for data cleaning, statistical modeling, and advanced analytics without requiring extensive programming knowledge. JMP is especially popular in industries such as pharmaceuticals, manufacturing, and research for its user-friendly interface and robust statistical capabilities.

How does a JMP Data Analytics professional typically collaborate with other departments within an organization?

JMP Data Analytics professionals often work closely with teams across the organization, including engineering, quality assurance, product development, and operations. They support these teams by analyzing complex data sets, creating visualizations, and providing actionable insights to guide decision-making. Effective communication and an ability to translate technical findings into clear, business-relevant recommendations are essential. Regular cross-functional meetings and collaborative projects are common, fostering a dynamic work environment where analytical expertise directly impacts company performance.

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

To thrive as a JMP Data Analytics professional, you need a solid background in statistics, data analysis, and problem-solving, often supported by a degree in a quantitative field. Proficiency with JMP software, along with familiarity with data visualization, scripting, and potentially certifications such as JMP Certified Specialist, is highly valuable. Strong communication, critical thinking, and attention to detail help you interpret results and present actionable insights effectively. These skills and qualifications are essential for transforming complex data into clear, impactful business decisions.

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

AspectJmp Data AnalyticsData Analyst
Required SkillsProficiency in JMP software, data visualization, statistical analysisData manipulation, statistical tools, Excel, SQL
Work EnvironmentResearch labs, analytics firms, industries using JMPBusiness, finance, healthcare, various industries
CertificationsJMP certification, data analysis certificationsCertified Analytics Professional, Microsoft Excel certifications

Jmp Data Analytics professionals focus on using JMP software for statistical analysis and data visualization, often within research or specialized analytics environments. Data Analysts typically work across various industries, utilizing a broader set of tools like Excel and SQL. While both roles require strong analytical skills, Jmp Data Analytics roles emphasize JMP proficiency, whereas Data Analysts may have more diverse technical toolsets.

What are popular job titles related to Jmp Data Analytics jobs in Texas?

For Jmp Data Analytics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Jmp Data Analytics jobs in Texas look for?

The top searched job categories for Jmp Data Analytics jobs in Texas are:

What cities in Texas are hiring for Jmp Data Analytics jobs?

Cities in Texas with the most Jmp Data Analytics job openings:

Jmp Data Analytics jobs near you
Infographic showing various Jmp Data Analytics job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

AVP Data Science

Fort Worth, TX • On-site

GM Financial
Finance and Insurance • 5 - 10K employees

8.2

Company rating: 8.2 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

56th of 176 rated vehicle equipment hire

People enjoy working here

Good employer

Recommended by students

Learn more about GM Financialexternal

Full-time

Retirement

Posted 4 days ago

Job description


Why GM Financial?
GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses.
At GM Financial, our team members define and shape our culture - an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Our Purpose: We pioneer the innovations that move and connect people to what matters
The AVP of Data Science leads a team of data scientists in developing advanced analytics, machine learning models, and data-driven solutions that support strategic business objectives. This role oversees research initiatives, guides the application of analytics to complex business challenges, and delivers actionable insights that drive operational improvements and informed decision-making.
The AVP partners closely with business leaders to identify opportunities, communicate analytical findings, and ensure data science solutions deliver measurable value. This position combines technical leadership, people management, and strong business acumen to advance the organization's analytics capabilities and outcomes.
Responsibilities
About this role:
  • Manage a team of Data Scientists
  • Lead in conducting research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the Business.
  • Build technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms.
  • Develop and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
  • Present findings and analysis for use in decision-making.
  • Ensure that the delivered products meet the business needs of the Company.
  • Partner with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership.
  • Prioritize tasks and meets project deadlines in a fast-paced work environment.

Qualifications
What makes You an ideal candidate?
  • Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability and statistics
  • Ability to identify and understand business issues and map these issues into quantitative questions
  • Comprehensive knowledge and experience with technical systems, datasets, data warehouses and data analysis techniques
  • Proficiency in experimental design, ability to design and implement documentation and monitoring protocols
  • Advanced knowledge of principles, standards, practices and techniques relating to quantitative analysis for a financial firm
  • Advanced knowledge and demonstrated understanding of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components and linear programming techniques.
  • Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word and PowerPoint
  • Efficient quantitative skills with very large datasets
  • Provides leadership, coaching and/or mentoring to Data Scientists
  • MS Office required.
  • Proficient in at least one of Python, R or SAS
  • Ability to lead technical professional and influence their technical and leadership development.
  • Strong written and verbal presentation skills with an ability to communicate effectively with senior management by making complex concepts easy to understand
  • Ability to be curious, ask questions, explore and be creative when analyzing data and business problems
  • Ability to identify and seek needed information/research skills.
  • Analytical thinking skills
  • Ability to interact collaboratively with internal and external customers
  • Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure
  • Strong problem-solving skills
  • Extensive experience presenting highly complex analysis to upper management is required
  • Normal office environment

Additional Knowledge and Skills
  • Working effectively within an AI enabled environment:
  • Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
  • Skills in evaluating AI outputs for accuracy, compliance, and bias
  • Experience integrating AI into workflows to improve efficiency or insights
  • Familiarity with AI assisted research, summarization, and content generation
  • Understanding of responsible AI use, including ethics and data protection

Work Experience and Education
  • 7-10 years experience in modeling Req
  • 3-5 years experience in management and/or leadership Req
  • Bachelor's Degree Required
  • Master's Degree PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Physics, Computer Science or similar quantitative field. Required

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: Flexible hybrid work environment, 3-days a week in office.
NOTE: We are unable to consider candidates who require visa sponsorship for this position
This position is not open to agency submissions
#GMFJobs #LI-Hybrid #LI-WB1

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