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Remote Data Analyst Rotational Program Jobs in Quinlan, TX

YO AI Labs

Excel Expert - Remote

Dallas, TX · Remote

$30 - $50/hr

Remote Job Overview We are seeking experienced Business Document Experts to support an AI training ... Experience with financial modeling, data analysis, reporting, and executive presentations. * Strong ...

YO AI Labs

PowerPoint Expert - Remote

Dallas, TX · Remote

$30 - $50/hr

PowerPoint Expert - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Experience with financial modeling, data analysis, reporting, and executive presentations. * Strong ...

YO AI Labs

Word Expert - Remote

Dallas, TX · Remote

$30 - $50/hr

Remote Job Overview We are seeking experienced Business Document Experts to support an AI training ... Experience with financial modeling, data analysis, reporting, and executive presentations. * Strong ...

LRS

Business Analyst

Dallas, TX · Remote

$35 - $55/hr

Perform data analysis and research to identify trends, data quality issues, and process improvement ... Collaborate with both local and remote team members to support successful project delivery.

IT America Inc

Cloud Data Engineer

Dallas, TX · Remote

Remote (Needs to travel to client site when required with your own expenses) Duration: Long term ... to join the data analytics team. You will have the opportunity to work as part of a cross ...

JDA

Sr. Sales Compensation Analyst

Dallas, TX · Remote

$98K - $110K/yr

US - Remote Dallas Preferred Scope: The Senior Sales Compensation Analyst designs, administers, and ... SQL and data manipulation skills; familiarity with BI tools (Tableau, Power BI, Looker)

IT America Inc

Senior Analyst - Revenue Cycle

Dallas, TX · Remote

$87K - $109K/yr

Remote Duration: Long term contract Note: Looking for Permanent / Visa Independent Consultants ... Proven ability to analyze and interpret Epic revenue cycle data domains (billing, claims, AR ...

Federal Reserve Bank of Richmond

Data Architect

Dallas, TX · On-site +1

$63 - $81/hr

Enable advanced analytical capabilities for researchers and developers. * Partner with the ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

YO AI Labs

Business Document Expert - Remote

Dallas, TX · Remote

$30 - $50/hr

Remote Job Overview We are seeking experienced Business Document Experts to support an AI training ... Experience with financial modeling, data analysis, reporting, and executive presentations. * Strong ...

YO AI Labs

Biostatistician Expert - Remote

Dallas, TX · Remote

$60 - $70/hr

Remote Job Type: Contractor Pay: $60-$65/hour Job Overview We are looking for an experienced ... Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs)

IT America Inc

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note ... Must have Azure (Azure Data Factory, Azure Synapse Analytics) develop and maintain data pipelines.

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Showing results 41-60

All JobsData Analyst Rotational Program JobsRemote Data Analyst Rotational Program JobsRemote Data Analyst Rotational Program Jobs in Quinlan, TX

Remote Data Analyst Rotational Program information

See Quinlan, TX salary details

$31.5K

$76.5K

$125.9K

How much do remote data analyst rotational program jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote data analyst rotational program in Quinlan, TX is $76,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $89,800.00 per year, depending on experience, location, and employer.

What is a remote data analyst rotational program?

A Remote Data Analyst Rotational Program is a structured, entry-level opportunity where participants work in various data analyst roles across different departments or teams within a company, all while working remotely. These programs typically last from several months to a couple of years, allowing participants to gain a broad range of analytical skills, exposure to different business functions, and experience with diverse data tools and methodologies. The rotational aspect helps employees identify their strengths and interests, while building a strong foundation for a future career in data analysis. Participants also benefit from mentorship, networking, and professional development opportunities throughout the program.

What can I expect in terms of team collaboration and mentorship while participating in a remote data analyst rotational program?

In a Remote Data Analyst Rotational Program, you can expect to work closely with multiple teams across different business units, gaining exposure to a variety of projects and analytical tools. Regular virtual meetings, collaborative platforms, and scheduled check-ins with mentors are common, ensuring you receive guidance and feedback despite the remote setting. Many programs pair participants with dedicated mentors or buddies, and encourage networking with peers and leaders to enhance learning. This structure not only helps you build technical and soft skills, but also enables you to understand which team or project aligns best with your career interests for future growth.

What are the key skills and qualifications needed to thrive as a remote data analyst rotational program participant?

To thrive in a Remote Data Analyst Rotational Program, you need strong analytical abilities, proficiency in statistics, and a bachelor's degree in a related field such as mathematics, computer science, or economics. Familiarity with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau or Power BI), and sometimes certifications in analytics or data science are highly valued. Excellent communication, problem-solving skills, and adaptability are crucial for collaborating across different teams and quickly learning new business domains. These skills ensure you can extract actionable insights from data and contribute effectively to diverse projects in a dynamic, remote setting.

What is the difference between Remote Data Analyst Rotational Program vs Remote Data Analyst?

AspectRemote Data Analyst Rotational ProgramRemote Data Analyst
CredentialsBachelor's degree in Data Science, Statistics, or related field; some programs may require internshipsBachelor's degree in relevant field; certifications like SQL, Python, or Tableau are a plus
Work EnvironmentStructured program with rotations across departments; mentorship and training includedTypically focused on a specific team or project; independent work with collaboration
Employer & Industry UsageOffered by large corporations and tech companies as entry-level developmentCommon in various industries including finance, healthcare, and tech for ongoing roles

The Remote Data Analyst Rotational Program is designed for early-career professionals to gain diverse experience across departments, often with structured training. In contrast, a Remote Data Analyst role usually involves specialized, ongoing responsibilities within a specific team. Both roles require similar educational backgrounds and technical skills, but the program offers broader exposure and development opportunities.

What cities near Quinlan, TX are hiring for Remote Data Analyst Rotational Program jobs?

Cities near Quinlan, TX with the most Remote Data Analyst Rotational Program job openings:

Remote Data Analyst Rotational Program jobs near you

Data Scientist, P&C Insurance - Remote

UPLAND CAPITAL GROUP INC

Dallas, TX • On-site, Remote

$110K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Key responsibilities

  • Perform analyses and build models to support decision-making for actuarial, underwriting, claims, and other functions across the organization

  • Translate business requirements into actionable data science projects and see them through to completion

  • Deploy, monitor, and maintain models in a containerized Azure environment, applying MLOps principles

Job description

Data Scientist, P&C Insurance - Remote
Upland Capital Group, Inc. is an AM Best rated "A-" VIII specialty property/casualty insurer headquartered in Dallas, Texas. Through its wholly owned insurance carrier, Upland Specialty Insurance Company, the company markets, underwrites and services specialty insurance products in select markets to include excess transportation, construction casualty, excess casualty, primary general liability, excess public entity, professional liability errors and omissions as well as excess cyber liability.
We focus on "old school" underwriting as a craft, add "new school" analytics and technology, and encourage a gritty, growth mindset among people called "we entrepreneurs."
As an Excess and Surplus (E&S) carrier, we face unique and interesting challenges every day. We are looking for a Data Scientist to join our Risk, Analytics, & Data (RAD) team.
Primary Function:
The Data Scientist role requires a strong statistical and programming foundation, hands-on experience building models, and a genuine interest in how models are deployed and maintained in production. This is an individual contributor role where you can make a real impact from day one, and we are open to a range of experience levels: you might be an early-career data scientist with a strong foundation and high potential, or a seasoned practitioner who already owns the full model lifecycle. Title and responsibilities will be calibrated to your experience. The role will report to the Director of Data Science.
At our Risk, Analytics, & Data (RAD) team, we focus on Actuarial, Data Science, Data and Model Engineering, and Enterprise Risk Management functions. Our Actuarial and Data Science model environment and architecture is containerized, and we are cloud based, running on Azure. Our vision is to build highly automated and efficient processes to build, test, and deploy our models and products for enhancing actuarial, underwriting and claim insights with timely and relevant data-driven analytics and technology. We look to create models that require creative problem solving and a close collaboration with stakeholders across the organization, not limited by a 'one size fits all' mindset. In this role, you will work across the full model lifecycle - from analysis and model development through deployment, monitoring, and maintenance in production. As a member of a small, growing team, your scope will grow with you: you'll find both the support to develop new skills and the room to take ownership quickly.
Duties and Responsibilities:
As a Data Scientist at Upland, you will perform analyses and build models to support decision-making for actuarial, underwriting, claims, and other functions across the organization, and learn to carry those models through deployment and into production. You will be encouraged to try new things that push Upland forward and expand your own skillset. As a member of a small, growing team, you will have unusual visibility into how models drive business decisions and broad exposure across the model lifecycle. Responsibilities will include:
  • Translate business requirements from different stakeholders into actionable data science projects
  • Drive projects forward, take ownership of project deliverables, and see assigned work through to completion
  • Curate modeling datasets using internal and external data sources
  • Build, test, and validate statistical and machine learning models using appropriate techniques, grounded in sound statistical reasoning
  • Clearly explain results and recommendations to technical and business stakeholders
  • Establish and follow strong engineering practices - code review, reproducibility, experiment tracking, and model documentation
  • Deploy, monitor, and maintain models in our containerized Azure environment, applying MLOps principles, including - version control, automated testing, CI/CD, model versioning, and drift detection
  • Develop AI-powered tools and applications, including LLM-based solutions (e.g., automating aspects of the modeling process, surfacing insights from model output) for underwriting, claims, and operational use cases
  • Contribute to a strong team culture by participating actively in code review and pairing, sharing what you learn, and both providing and seeking feedback to/from team members
  • Research, learn, test, and apply new techniques to advance the company's statistical modeling/MLOps/AI engineering capabilities
  • Build strong partnerships within RAD and across the organization, working hand-in-hand with Data and Model Engineering and with our underwriting, claims, and business stakeholders to understand their needs and deliver solutions that create real value

Experience, Education, Special Skills Required:
  • 2-5+ years of technical experience in a data science, actuarial, analytics, or predictive modeling role, with hands-on experience deploying models or analytics tools to production
  • Strong statistical foundation and analytical skills - able to select, build, validate, and interpret models rigorously, and explain the results clearly
  • Proficiency in programming languages such as Python, R, and/or SQL, with the ability to write production-quality code
  • Strong knowledge of a variety of modeling techniques and the ability and interest to learn new techniques quickly (e.g., Regression, Classification, Bayesian Modeling, Natural Language Processing, Price Optimization, etc.)
  • Experience applying software engineering and MLOps principles - e.g., Git-based workflows, containerization (Docker), CI/CD, model versioning, and monitoring
  • Experience with cloud environments (e.g., Azure, AWS) for model development and deployment
  • Practical experience building with LLMs and generative AI - e.g., building and using skills, model APIs, prompt-based tools, agent workflows, etc.
  • Self-starter, quick learner, and creative problem solver that thrives in a flexible, fast-paced, and remote work environment

Preferred Experience, Education, and Skills:
  • P&C insurance domain knowledge, particularly commercial lines and E&S products
  • Experience in the end-to-end model creation and deployment process to improve product, pricing, reserving, underwriting, and claims in P&C insurance
  • Bachelor's or Master's degree in Mathematics, Statistics, Data Science, Actuarial Science, Computer Science, or related quantitative field
  • Experience with a fully containerized model architecture and ML platforms (e.g., Azure ML, MLflow, SageMaker)
  • Experience with non-relational (NoSQL) databases and modern data platforms (e.g., Snowflake)
  • Experience with visualization tools such as Power BI, Shiny, Streamlit, etc.

Disclosures:
Pay Estimate: $ 110,000 - $165,000
Other compensation: annual incentive program
Benefits: health insurance including FSA and HSA options and free access to Teladoc, vision, dental, disability and life insurance, parental leave, responsible time off (unlimited vacation days without an accrual system), paid sick time as required by law, 401(k), tuition reimbursement and employee assistance program.

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