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Data Analyst Fellowship Jobs (NOW HIRING)

Uasys

Razorback Analytic Fellow-2

Fayetteville, AR · On-site

The Fellowship is designed to prepare students for careers in data analytics through practical experience, mentorship, and exposure to complex organizational data challenges. Work Environment ...

QuinStreet

Senior Data Analyst

Foster City, CA · Remote

$80K - $130K/yr

You will work with fellow analysts to analyze, conjecture, and manage investigations, product fixes ... You will be required to develop a deep understanding of the related data sources and leverage them ...

The Pennsylvania State University

Mentor undergraduate- and graduate-level interns and fellows on developing and executing analytic ... Ensuring quality control of data collection, and alerting PIs as needed * Strong writing skills ...

Apple

Apple SkillBridge Fellowship Program

Austin, TX · On-site

Data Science & Analytics - Fellowships involve translating raw data into actionable business insights through analysis, experimentation, and visualization. Ideal candidates have experience with data ...

iHeartMedia

Digital Data Analyst

San Antonio, TX · On-site

Support a variety of teams on data analysis. * Support ad hoc projects. What You'll Need: * Four ... Ability to work independently or with fellow team members. * Excellent oral and written ...

iHeartMedia, Inc.

Digital Data Analyst

New York, NY · On-site

Support a variety of teams on data analysis. * Support ad hoc projects. What You'll Need: * Four ... Ability to work independently or with fellow team members. * Excellent oral and written ...

iHeartMedia

Digital Data Analyst

Glenmont, NY · On-site

$60 - $80/hr

Support a variety of teams on data analysis. * Support adhoc projects. What You'll Need: * Four ... Ability to work independently or with fellow team members. * Excellent oral and written ...

iHeartMedia

Digital Data Analyst

New York, NY · On-site

Support a variety of teams on data analysis. * Support ad hoc projects. What You'll Need: * Four ... Ability to work independently or with fellow team members. * Excellent oral and written ...

Apple

Apple SkillBridge Fellowship Program

Austin, TX · On-site

Data Science & Analytics - Fellowships involve translating raw data into actionable business insights through analysis, experimentation, and visualization. Ideal candidates have experience with data ...

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Data Analyst Fellowship information

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How much do data analyst fellowship jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analyst fellowship in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a data analyst fellowship?

A Data Analyst Fellowship is a temporary, structured program designed to provide hands-on experience in data analysis. Fellows work with real datasets, develop analytical skills, and gain exposure to industry tools like SQL, Python, and data visualization software. These programs are often aimed at early-career professionals or career switchers looking to build expertise in data analytics. Depending on the organization, fellowships may include mentorship, training sessions, and project-based work. Some fellowships offer stipends or the possibility of full-time employment upon completion.

What kind of projects or responsibilities can I expect during a data analyst fellowship?

As a Data Analyst Fellow, you can expect to work on real-world projects such as cleaning and analyzing large datasets, creating dashboards and reports, and identifying trends or actionable insights for business decision-makers. Fellows often collaborate with experienced analysts, data scientists, or business teams to support ongoing initiatives or solve specific problems. This role typically offers exposure to multiple departments, allowing you to develop hands-on technical skills and a deeper understanding of how data shapes business strategies. Many organizations also provide mentorship and opportunities for networking, which can help you grow professionally and explore potential paths for career advancement after the fellowship.

What are the key skills and qualifications needed to thrive in the data analyst fellowship position, and why are they important?

To thrive as a Data Analyst Fellow, you need a solid grounding in statistics, data interpretation, and database querying, often demonstrated by a degree in a related field and relevant internships or coursework. Familiarity with tools like SQL, Excel, Python or R, and data visualization platforms (such as Tableau or Power BI) is typically required, and certifications in these areas can be advantageous. Strong analytical thinking, attention to detail, effective communication, and a collaborative mindset are essential soft skills. These skills enable fellows to accurately extract insights from data, clearly communicate findings, and contribute effectively to cross-functional teams.

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What states have the most Data Analyst Fellowship jobs?

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Data Analyst Fellowship jobs near you
Infographic showing various Data Analyst Fellowship job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, 19% Part Time, and 6% Contract. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Lead Solutions Analyst-Business Data Analyst/Data Analyst

JP Morgan Chase

Houston, TX • On-site

Full-time

Medical, Retirement

Re-posted yesterday

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 175 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.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

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