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Data Analyst Fellowship Jobs (NOW HIRING)

The Data Analyst plays an essential role in supporting data gathering, analysis, and report ... Communicate goals to fellow staff members. * Maintain department policies and procedures. * Include ...

New

Provide peer review of ad-hoc data requests fulfilled by associate members of the Data Analysts team and provide assistance to fellow members as needed in larger project efforts. * Proactively ...

Provide peer review of ad-hoc data requests fulfilled by associate members of the Data Analysts team and provide assistance to fellow members as needed in larger project efforts. * Proactively ...

Provide peer review of ad-hoc data requests fulfilled by associate members of the Data Analysts team and provide assistance to fellow members as needed in larger project efforts. * Proactively ...

The core mission of the Data Analyst As a Data Analyst, you will be the analytical engine behind ... Fully Remote The fellowship you'll be joining: This role sits on our Federal Sales team, reporting ...

Data Analyst

Foster City, CA · Remote

$85K - $100K/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 ...

Title: Data Analyst - Data & Analytics Company: Everest Global Services, Inc. Job Category ... This includes day to day interactions with fellow colleagues, and the global communities we serve.

Title: Data Analyst - Data & Analytics Company: Everest Global Services, Inc. Job Category ... This includes day to day interactions with fellow colleagues, and the global communities we serve.

... fellow employees, and all others with whom there is contact at or in the interest of the institute The Data Analyst II will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication ...

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Data Analyst Fellowship information

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$34K

$82.6K

$136K

How much do data analyst fellowship jobs pay per year?

As of Jul 3, 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 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.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills in statistical analysis, visualization, and domain knowledge that AI tools currently cannot fully replicate, making human expertise still valuable in the field.

What is a Data Analyst Fellowship job?

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.

Is 40 too late for data science?

For a Data Analyst Fellowship, age is not a barrier to entering data science. Many professionals successfully transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or bootcamps. Experience, continuous learning, and building a strong portfolio are key factors for success regardless of age.

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.

What is a data analyst fellowship?

A data analyst fellowship is a structured program that provides training and hands-on experience in data analysis, often for early-career professionals or those transitioning into the field. Participants typically learn skills such as data cleaning, visualization, and tools like Excel, SQL, or Python, and may work on real-world projects under mentorship. These fellowships can lead to full-time roles and often include networking opportunities and professional development components.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries as organizations increasingly rely on data-driven decision-making. Skills in data visualization, statistical analysis, and tools like Excel, SQL, and Python enhance job prospects, with many roles available in both entry-level and senior positions.
More about Data Analyst Fellowship jobs
What states have the most Data Analyst Fellowship jobs? States with the most job openings for Data Analyst Fellowship jobs include:
Infographic showing various Data Analyst Fellowship job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, 7% Part Time, 5% Temporary, and 38% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data & Analytics Fellowship Program

Data & Analytics Fellowship Program

Strategic Staffing Solutions

San Antonio, TX

$100K - $130K/yr

Other

Posted 10 days ago


Job description

Job Description Data & Analytics Fellowship Program Location: San Antonio, TX (4 days onsite) Employment Type: Full-Time Fellowship Program Compensation: Approximately $100,000 - $130,000 (based on experience) Target Audience: Recently Separated Military Veterans About the Opportunity Our client is seeking motivated military veterans to join a Data & Analytics Fellowship Program designed to develop future leaders in data-driven decision-making. This unique rotational program provides exposure across the full data lifecycle, including data governance, data engineering, business intelligence, analytics, and reporting. Participants will gain hands-on experience delivering impactful business solutions while receiving structured training, mentoring, and professional development to support long-term career growth within data and analytics.

Key Responsibilities Support data governance initiatives to improve data quality, integrity, and compliance. Design, develop, and maintain data pipelines and data integration processes. Analyze complex business requirements and translate them into actionable data solutions.

Develop reporting and dashboard solutions using modern business intelligence tools. Identify trends, patterns, and opportunities through data analysis and visualization. Collaborate with technical teams and business stakeholders to deliver scalable analytics solutions.

Apply best practices in data management, reporting, and data visualization. Participate in rotational assignments across multiple data and analytics disciplines. Contribute to continuous improvement initiatives that enhance operational efficiency and data quality.

Adhere to organizational risk management, compliance, and governance standards. Required Qualifications Bachelor's degree in Computer Science, Data Analytics, Information Systems, Mathematics, Statistics, Engineering, Business Analytics, or a related field; OR equivalent combination of education and experience. Military veteran with an honorable discharge.

Minimum 4 years of military experience supporting: Data Analytics Information Management Data Engineering Intelligence Analysis Reporting and Business Intelligence Software Development supporting data solutions Experience working with data reporting, analytics, or database technologies. Understanding of data management principles and practices. Experience utilizing tools such as SQL, Tableau, Business Objects, Snowflake, Hadoop, NoSQL databases, or similar technologies.

Strong analytical, problem-solving, and communication skills. Ability to effectively collaborate with cross-functional teams and stakeholders. Familiarity with Agile methodologies.

Proficiency with Microsoft Office applications. Preferred Qualifications 1-2 years of SQL development experience. Experience with Tableau, Power BI, or similar visualization tools.

Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of ETL processes and data warehousing concepts. Experience using Python or R for data analysis and automation.

Understanding of data governance, data quality, and data security frameworks. Experience creating executive-level dashboards and reporting solutions. Ideal Backgrounds Candidates with experience in the following military specialties are strongly encouraged to apply: Intelligence Analyst Signals Intelligence Specialist All-Source Intelligence Analyst Information Management Specialist Geospatial Intelligence Analyst Data Analyst Business Intelligence Analyst Cyber Intelligence Specialist Software Developer Data Engineer Operations Research Analyst Why Apply.

Structured fellowship and career development program Exposure to multiple areas of data and analytics Dedicated coaching and mentorship Long-term career advancement opportunities Competitive compensation and comprehensive benefits package Opportunity to transition military experience into a successful civilian data career Work Authorization: Candidates must be authorized to work in the United States without current or future sponsorship requirements. Visa sponsorship is not available for this position.