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Data Analyst Rotational Program Jobs in Houston, TX

Summer 2027 Job Type: Full-Time, Rotational Program Level: MBA Graduate Program Overview Flowserve ... Strong analytical, communication, and collaboration skills * Comfortable with ambiguity and fast ...

New

... data analytics for optimization • Developing reservoir models, forecasting production After completion of the field based rotational program, assignments will typically be at one of our sites ...

Analyst Systems Data

Sugar Land, TX · On-site

$65 - $95/hr

Job Overview The Data Systems Analyst is responsible for designing, implementing, and managing ... Support the design and implementation of program evaluations and research studies that assess the ...

Job Overview The Data Systems Analyst is responsible for designing, implementing, and managing ... Support the design and implementation of program evaluations and research studies that assess the ...

Showing results 41-60

Data Analyst Rotational Program information

See Houston, TX salary details

$32.5K

$78.9K

$129.9K

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

As of Aug 23, 2026, the average yearly pay for data analyst rotational program in Houston, TX is $78,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,600.00 per year, depending on experience, location, and employer.

What is a data analyst rotational program?

A Data Analyst Rotational Program is a structured, entry-level role where participants rotate through different teams or departments within a company. The program typically lasts 12-24 months and provides hands-on experience with data analysis, reporting, and business intelligence tools. Analysts develop technical skills, gain exposure to various business functions, and build a strong foundation for a long-term career in data analytics. This rotational structure allows participants to explore different areas before settling into a permanent role within the organization.

What can I expect from the structure and experience of a data analyst rotational program?

A Data Analyst Rotational Program typically consists of several short-term assignments across different departments or business functions, allowing you to gain exposure to various types of data sets, analytical challenges, and workflows. You'll work closely with diverse teams, support ongoing projects with data-driven insights, and have the opportunity to present your findings to stakeholders. The program is designed to build both technical and business skills, giving you a well-rounded view of how analytics supports decision-making throughout the organization. Upon completion, many participants are well-positioned for permanent roles in specialized analytics teams based on their interests and demonstrated strengths.

What are the key skills and qualifications needed to thrive in a data analyst rotational program, and why are they important?

To thrive in a Data Analyst Rotational Program, you need a solid foundation in statistics, data interpretation, and business acumen, typically supported by a degree in a related field such as mathematics, statistics, computer science, or economics. Familiarity with tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is highly valued, and certifications in analytics or data science can be advantageous. Strong communication, adaptability, and problem-solving skills help you excel in dynamic teams and present insights to non-technical stakeholders. These abilities allow you to contribute meaningfully across different business areas and learn quickly during rotational assignments.

What are the most commonly searched types of Data Analyst Rotational Program jobs in Houston, TX?

The most popular types of Data Analyst Rotational Program jobs in Houston, TX are:

Infographic showing various Data Analyst Rotational Program job openings in Houston, TX as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 81% In-person, and 19% Hybrid job distribution, with an average salary of $78,919 per year, or $37.9 per hour.

Lead Solutions Analyst-Business Solution Analyst/Data Analyst

JPMorgan Chase & Co.

Houston, TX • On-site

$110 - $160/hr

Other

Posted 11 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 496 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description

Job Description

As a Lead Solutions Analyst at JPMorganChase within the Corporate Technology, you review business requirements and ensure that the complete scope of business needs is articulated. Your deep understanding of applications, platforms, and products will position you as a key bridge between product owners, business, operations, and software developers. Utilizing advanced analytical reasoning and technical fluency, you will translate complex business requirements into well-structured and technically feasible solutions. You will make data-informed decisions and provide strategic insights to support key business initiatives. As a Lead Solutions analyst, you\'ll navigate ambiguity, manage change effectively, and communicate compellingly with diverse stakeholder audiences to ensure the highest quality and professionalism in service delivery.

Job responsibilities :
  • Review business requirements and make sure that requirements are captured are articulating the complete scope of business needs.
  • Perform detailed analysis on the requirements and come up with standard and re-usable solutions.
  • Build functional solutions which meets business requirements of ongoing KYC and Risk Assessment initiatives.
  • Prepare detailed interface mapping documents and static data that meets all the solutions and business requirements.
  • Review the solutions and interface mapping documents with business and technology stake holders to make sure that they are aligned with customer expectations and business needs.
  • Ensure the overall quality of functional solutions, interface mapping documents are in-line with standard practices we follow across the program in the bank.
  • Assist the business with the onboarding UAT, including test cases preparation, planning, communication, and close tracking of activities.
  • Work proactively with fellow BAs and other team members, ensuring work is proportionally distributed and targets are met.
  • Proactively engage, manage and build strong relationships with both business and technology stakeholders.
  • Identify risks and issues early, plan mitigating steps and communicate these to business stakeholders in a timely manner.
  • Promotes reuse-first, AI-assisted practices for analysis and documentation across the team, ensuring human review and alignment to delivery standards.
Required qualifications, capabilities and skills:
  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Extensive experience of data analysis, data mapping and working with large data sets.
  • Proven ability to work across business streams and have exposure to front to back system implementation.
  • Strong understanding of key technology concepts, business and technical architecture.
  • Ability to accurately translate and document business needs into functional requirements and produce quality documentation.
  • Ability to drive multiple agendas and effectively manage priorities.
  • Ability to work proactively, independently and displays strong initiative.
  • Pragmatic team player with an attention to detail.
  • Demonstrable experience using enterprise-authorized AI capabilities within the work environment to support solutions analysis workflows with strong validation habits and awareness of data sensitivity
  • Ability to review and validate AI-assisted analyses and recommendations before use, escalating when uncertain and following data handling expectations
Preferred qualifications, capabilities, and skills
  • Experience working on Know Your Customer, Anti-Money Laundering, or broader risk and compliance technology program.
  • Familiarity with agile delivery methodologies and experience working within cross-functional product teams.
  • Exposure to data governance frameworks and enterprise data management practices.
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