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Remote Data Analyst Rotational Program Jobs in Dallas, TX

Noblesoft Technologies

Business Analyst

Dallas, TX · Remote

Remote Skill Requirements * Proficiency in data analysis tools and financial software * Strong understanding of financial principles and budget management * Excellent analytical and problem-solving ...

JDA

Sr FinOps Program Analyst

Dallas, TX · On-site +1

$91K - $114K/yr

Candidates must be local to Scottsdale, AZ or Dallas, TX - working a very flexible mostly remote ... national data. Minimums and maximums may vary based on location. Individual salary will be ...

TEKsystems

Network Strategist- GIS

Dallas, TX · Remote

$60 - $85/hr

Description We are seeking a GIS Data Analyst to support market expansion and network growth ... Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote ...

TEKsystems

Network Strategist- GIS

Dallas, TX · Remote

$60 - $85/hr

Description We are seeking a GIS Data Analyst to support market expansion and network growth ... Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote ...

Burnetts Staffing

Market Analyst

Grapevine, TX · Remote

$15.50/hr

The ideal candidate is organized, analytical, and comfortable working independently in a remote environment. Requirements: * Experience supporting operations, dispatching, reporting, or data analysis ...

Burnetts Staffing

Market Analyst

Grapevine, TX · Remote

$15.50/hr

The ideal candidate is organized, analytical, and comfortable working independently in a remote environment. Requirements: * Experience supporting operations, dispatching, reporting, or data analysis ...

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

Remote Data Analyst Rotational Program information

See Dallas, TX salary details

$33.6K

$81.8K

$134.5K

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

As of Aug 8, 2026, the average yearly pay for remote data analyst rotational program in Dallas, TX is $81,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $96,000.00 per year, depending on experience, location, and employer.

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 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 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 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.
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Remote Data Analyst Rotational Program jobs near you

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX • On-site, Remote

Full-time

Re-posted 14 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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