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Data Analyst Intern Jobs in Spring Hill, FL (NOW HIRING)

Axogen

Intern, Medical Affairs (Fall 2026)

Tampa, FL

$20/hr

The intern will get a unique look into the benefits of working within smaller biomedical company ... Familiarity with data analysis and statistical methods. * Strong problem-solving skills and ...

Axogen

Intern, Medical Affairs (Fall 2026)

Tampa, FL · On-site

$20/hr

The intern will get a unique look into the benefits of working within smaller biomedical company ... Familiarity with data analysis and statistical methods. * Strong problem-solving skills and ...

Accenture

Data Protection, A/SA-Evergreen

Tampa, FL

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data governance, and privacy solutions for Avanade clients. You'll work under the guidance of senior team members ...

Ryan Companies

Scheduling Engineer Intern

Tampa, FL

$20 - $25/hr

As a Construction Scheduling Intern at Ryan, you'll work side by side with our scheduling team and ... Help capture and organize completed project schedule data to support the Data Analytics team ...

Crowe LLP

Audit Intern Winter 2028

Tampa, FL

$27 - $42/hr

As an intern in Crowe's Audit and Assurance practice you'll get in-depth exposure to the auditing ... You will use our audit tools and technologies that use advanced analytics, data visualizations and ...

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All JobsData Analyst Intern JobsData Analyst Intern Jobs in Spring Hill, FL

Data Analyst Intern information

See Spring Hill, FL salary details

$10

$19

$35

How much do data analyst intern jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data analyst intern in Spring Hill, FL is $19.09, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $20.82 per hour, depending on experience, location, and employer.

What does a data analyst intern do?

A Data Analyst Intern supports data analysis projects by collecting, cleaning, and organizing data. They use tools like Excel, SQL, or Python to analyze datasets and help generate reports or visualizations for business insights. Interns often work under supervision, assisting with ongoing projects and learning industry best practices, which helps them gain valuable experience in data analytics and business intelligence.

What types of projects and tasks can a data analyst intern expect to work on during their internship?

As a Data Analyst Intern, you can expect to work on a variety of projects such as cleaning and organizing datasets, creating data visualizations, and supporting the analysis of business trends. You'll often be asked to assist in preparing reports, updating dashboards, and collaborating with team members from departments like marketing, finance, or product management. This hands-on experience provides exposure to real-world data challenges and the opportunity to develop technical skills using tools like Excel, SQL, or Python, while also learning how data-driven decisions are made within the organization.

What are the key skills and qualifications needed to thrive as a data analyst intern, and why are they important?

To thrive as a Data Analyst Intern, you need a solid understanding of statistics, data analysis, and proficiency in Excel or similar spreadsheet tools, often supported by coursework in data science or related fields. Familiarity with data visualization software like Tableau, and programming languages such as SQL or Python, is commonly expected. Strong attention to detail, problem-solving skills, and the ability to communicate findings clearly are standout soft skills for this role. These skills enable interns to extract actionable insights from data, support decision-making, and contribute meaningfully to business objectives.

What is the difference between Data Analyst Intern vs Data Scientist Intern?

AspectData Analyst InternData Scientist Intern
Required CredentialsTypically pursuing or recent graduate in data-related fields; basic knowledge of SQL, Excel, and data visualizationOften pursuing or recent graduate in data science or related fields; knowledge of programming (Python, R), machine learning, and statistical modeling
Work EnvironmentEntry-level, supporting data analysis tasks, reporting, and visualizationMore advanced projects involving predictive modeling, algorithms, and complex data analysis
Employer & Industry UsageCommon in tech, finance, marketing, and consulting firmsFound in tech, research, and analytics-driven industries

The main difference between a Data Analyst Intern and a Data Scientist Intern lies in the complexity of tasks and required skills. Data Analyst Interns focus on data cleaning, visualization, and reporting, while Data Scientist Interns handle advanced modeling and machine learning. Both roles are valuable entry points into data careers, with the Data Scientist Intern position typically requiring more technical expertise.

Is a data analyst internship worth it?

A data analyst internship provides practical experience with data analysis tools like Excel, SQL, and visualization software, which can enhance employability and skill development. It offers exposure to real-world projects and networking opportunities, making it valuable for those pursuing a career in data analysis.

What are the most commonly searched types of Data Analyst jobs in Spring Hill, FL?

The most popular types of Data Analyst jobs in Spring Hill, FL are:

What job categories do people searching Data Analyst Intern jobs in Spring Hill, FL look for?

The top searched job categories for Data Analyst Intern jobs in Spring Hill, FL are:

What cities near Spring Hill, FL are hiring for Data Analyst Intern jobs?

Cities near Spring Hill, FL with the most Data Analyst Intern job openings:

Data Analyst Intern jobs near you
Infographic showing various Data Analyst Intern job openings in Spring Hill, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $39,713 per year, or $19.1 per hour.

Senior Data & Analytics Lead - Data Transformation Programs

Citigroup, Inc.

Tampa, FL • On-site

$141K - $212K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 171 rated banks

Job description

Citi is looking for a Senior Data & Analytics Lead (Data Science Senior Lead Analyst - C14) to spearhead high-impact programs within Citi's broader Data Transformation efforts, driving strategic change across one of the world's leading financial institutions. In this role, you will sit at the intersection of data science, program leadership, and senior stakeholder engagement, generating insight from complex data ecosystems, converting that insight into strategy, and owning the end-to-end execution of that strategy through day-to-day delivery at scale. This is a rare opportunity to drive cross-functional engagement across Citi's Business, Function, and Technology units, bringing cohesive, data-driven strategy to the forefront in the management of complex programs at scale.
Responsibilities:
  • Lead complex, large-scale Data Transformation programs end-to-end, from strategic analysis through to day-to-day delivery execution across multiple workstreams.
  • Generate actionable insights from high-volume banking data sets and translate those insights into clear strategy, then drive the mobilization of resources to execute that strategy at scale.
  • Negotiate timelines, scope, and delivery approach with senior-level stakeholders, securing alignment and maintaining delivery momentum across cross-functional teams.
  • Manage a broad and varied book of work across multiple stakeholder groups, maintaining clear prioritization and consistent progress against program objectives.
  • Identify thematic program issues at scale and develop structured, repeatable approaches to resolve them systematically across the delivery lifecycle.
  • Maintain continuous feedback loops across delivery teams, applying lessons learned to sharpen execution and improve program performance over time.
  • Identify, communicate, and resolve program delivery risks, ensuring issues are surfaced early and mitigated with clear ownership and follow-through.
  • Bridge the communication gap between business leaders and technology teams, translating complex analytical findings into clear, impactful narratives for diverse audiences.

Required Qualifications & Skills:
  • 10 or more years of experience applying statistical modelling and advanced analytical tools to large, complex data sets.
  • Demonstrated ability to generate strategic insight from data, develop an execution strategy, and lead teams to deliver against it at program scale.
  • Skilled at managing a broad and varied portfolio of work across multiple stakeholder groups simultaneously, maintaining clarity and delivery focus.
  • Capable of operating at both the strategic level and in granular detail, with strong critical thinking and structured problem-solving skills.
  • Experienced in proactively identifying, escalating, and resolving risks and issues throughout the program lifecycle.
  • Bachelor's degree or equivalent professional experience; a master's degree is an advantage.

Beneficial Skills & Qualifications:
  • Experience in process improvement methodologies or formal project management practices.
  • Familiarity with data governance, data lineage concepts, or metadata management within a financial services context.
  • Exposure to banking platforms and an understanding of how data flows across complex financial systems.

What We Offer
At Citi, you will have the scope to lead work that genuinely matters - operating at the forefront of data strategy within a global financial institution that values analytical rigor, decisive leadership, and program excellence. This role offers the autonomy to shape how data-driven decisions are made at senior levels, alongside the support of a collaborative, performance-focused team environment.
  • Hybrid working model with 3 days in the office and 2 days working remotely, giving you flexibility to perform at your best.
  • Strategic influence at a senior level, with the opportunity to shape data programs that have direct and measurable impact on the business.
  • Access to Citi's global network and the breadth of a world-leading financial institution, offering unmatched professional exposure.
  • Ongoing learning and development opportunities to deepen both your technical expertise and leadership capability.
  • Competitive compensation and financial wellbeing benefits designed to recognize and reward senior-level contribution.
  • Wellbeing and family support programs that help you balance professional ambition with personal priorities.

Apply now to take ownership of flagship Data Transformation programs at Citi and use your expertise to shape strategy, lead at scale, and deliver outcomes that matter.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Job Family Group:
Technology
Job Family:
Data Science
Time Type:
Full time
Primary Location:
Tampa Florida United States
Primary Location Full Time Salary Range:
$141,440.00 - $212,160.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Aug 24, 2026
Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents - AI Notice and Right
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US

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