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Data Literacy Internship Jobs (NOW HIRING)

KIPP

SY 26/27 Foundational Literacy Coach

Kansas City, MO · On-site

$50K - $65K/yr

Conduct region-specific data analysis to guide regions around intentional data driven response in ... internships, and shadowing opportunities that bridge the classroom and the community. * Teach a ...

SwiftX Inc.

Client Solutions Specialist

Eastvale, CA

... data-driven solutions. This internship is designed to give you hands-on experience in account ... Data Literacy: Hands-on experience translating raw performance metrics into actionable business ...

SwiftX Inc.

Client Solutions Specialist

Eastvale, CA · On-site

... data-driven solutions. This internship is designed to give you hands-on experience in account ... Data Literacy: Hands-on experience translating raw performance metrics into actionable business ...

SwiftX Inc.

Client Solutions Specialist

Eastvale, CA · On-site

... data-driven solutions. This internship is designed to give you hands-on experience in account ... Data Literacy: Hands-on experience translating raw performance metrics into actionable business ...

SwiftX Inc.

Client Solutions Specialist

Corona, CA · On-site

... data-driven solutions. This internship is designed to give you hands-on experience in account ... Data Literacy: Hands-on experience translating raw performance metrics into actionable business ...

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How much do data literacy internship jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data literacy internship in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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

To thrive as a Data Literacy Intern, you need foundational skills in data analysis, critical thinking, and a basic understanding of statistics, often supported by coursework in data science or related fields. Familiarity with tools like Microsoft Excel, Google Sheets, and introductory data visualization platforms such as Tableau or Power BI is typically required. Strong communication, curiosity, and a willingness to learn help interns effectively interpret and present data insights. These skills and qualities are essential for translating data into actionable information and supporting informed decision-making within organizations.

What is a data literacy internship?

A Data Literacy Internship is a program designed to help individuals develop the skills needed to understand, interpret, and communicate data effectively. Interns in this role learn how to work with data sets, use data visualization tools, and apply analytical thinking to real-world problems. They often support teams by preparing reports, creating dashboards, and assisting with data-driven decision-making. The goal is to build foundational knowledge in data concepts, making participants more confident and competent in handling data in various professional contexts.

What types of projects or responsibilities can I expect during a data literacy internship?

As a Data Literacy Intern, you'll likely support initiatives that help non-technical staff and teams better understand and use data. Typical responsibilities include creating educational materials, assisting with training workshops, and developing simple data visualizations or dashboards. You may also help analyze feedback to improve training programs and collaborate closely with data analysts, trainers, and other stakeholders. This role offers valuable exposure to both the technical and communication aspects of data work, which can be a great foundation for a career in data analytics, education, or business intelligence.

What is the difference between Data Literacy Internship vs Data Analyst?

AspectData Literacy InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, certifications optional
Work EnvironmentInternship programs, entry-level, training-focusedFull-time, professional setting, project-driven
Employer & Industry UsageInternship programs in various industries, educational institutionsBusinesses, tech companies, finance, healthcare, across industries
Common Search & ComparisonYes, often compared for entry-level roles and trainingYes, as a career progression or alternative

The Data Literacy Internship is an entry-level, training-focused position aimed at individuals gaining foundational skills in data concepts. In contrast, a Data Analyst is a full-time professional role requiring more experience and technical skills. Internships serve as stepping stones into data careers, while Data Analysts perform ongoing data analysis to support business decisions.

What cities are hiring for Data Literacy Internship jobs? Cities with the most Data Literacy Internship job openings:
What are the most commonly searched types of Data Literacy jobs? The most popular types of Data Literacy jobs are:
What states have the most Data Literacy Internship jobs? States with the most job openings for Data Literacy Internship jobs include:
Data Literacy Internship jobs near you

Data Strategy Analyst, Brandeis Career Center

Brandeis University

Waltham, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago

Job description

Hiring Range: $59,400 - $78,500
Lead Career Center Data Strategy, Analytics, and Reporting
Brandeis University is launching a bold new approach to career development as part of its vision to Reinvent the Liberal Arts. We're creating an integrated career center that serves undergraduate students, graduate students, and alumni by connecting academic learning with career exploration, internships, employer partnerships, and lifelong career support. This is an exciting opportunity to join a growing team and help shape the future of career education at one of the nation's leading liberal arts research universities.
We are hiring a Data Strategy Analyst to lead the Career Center's data strategy, analytics, and reporting efforts. By analyzing student engagement, career outcomes, and program effectiveness, you will generate actionable insights that inform strategic decision making, support institutional reporting, and help measure the impact of career education. Working closely with colleagues across the university, you will strengthen data governance, assessment, and partnerships while advancing a culture of evidence-based planning and continuous improvement.
What you will do
Data Strategy and Governance (30%)
  • Develop and manage a comprehensive data strategy for the career center across undergraduate and graduate populations
  • Establish and maintain data governance practices, including standardized definitions, processes, and reporting protocols
  • Ensure data integrity, quality, and consistency across all systems and platforms
  • Oversee integration of multiple data sources, including CRM systems, survey platforms, and external datasets
  • Ensure compliance with university policies, FERPA, and data privacy standards
  • Partner with IT and Institutional Research to support system alignment, data architecture, and reporting infrastructure

Data Analytics and Reporting (25%)
  • Lead analysis and interpretation of student engagement, career outcomes, learning outcomes, and program data across undergraduate and graduate populations
  • Develop dashboards, reports, and visualizations that clearly communicate insights to staff, leadership, and external stakeholders
  • Respond to ad hoc data requests from senior leadership and campus partners
  • Track and report on key performance metrics, including advising, events, employer engagement, and resource utilization
  • Identify trends and translate findings into clear, actionable insights that inform strategy and resource allocation
  • Support senior career center leadership in decision making by synthesizing complex data and presenting clear reports to support short-term and long-term strategies

First Destination Survey and Outcomes (20%)
  • Own the full lifecycle of the First Destination Survey, including methodology, design, administration, and reporting for all graduating students
  • Ensure alignment with national standards and maintain a strong knowledge rate
  • Lead analysis and reporting of career outcomes data for both undergraduate and graduate populations
  • Integrate additional data points including survey data, internship reports, employer feedback, program evaluations, and others into reporting efforts
  • Produce annual outcomes reports, including data visualizations and presentations to support institutional reporting

Assessment, Partnerships, and Communication (10%)
  • Develop and manage the Career Center's assessment plan and key performance indicators
  • Partner with Institutional Research, academic units, Advancement, Alumni Relations, and other stakeholders on data sharing and reporting
  • Proactively explore and prepare timely reports to guide data-driven decisions around programming, goal setting and performance metrics
  • Present findings to internal and external audiences, including senior leadership
  • Train staff on data literacy, dashboards, and use of data in decision-making

Analytics Innovation and Enablement (5%)
  • Lead the development of advanced analytics, including predictive modeling and applied AI, to enhance forecasting, student engagement strategies, and outcome analysis
  • Apply data visualization best practices to improve clarity, usability, and impact of reporting tools
  • Identify opportunities to modernize data systems, including real-time reporting and cloud-based analytics
  • Evaluate and implement new tools and technologies that improve data collection, analysis, and reporting capabilities

Professional Development & Center Support (10%)
  • Conduct regular research on higher education, career, and data strategy to propose adjustments to current strategies or address evolving challenges and opportunities
  • Participate in professional development activities related to data and assessment in higher ed and career services
  • Support the planning and execution of career center events and initiatives

What We're Looking For
Qualifications
Required
  • Bachelor's degree
  • 3-5 years of experience in data analytics, reporting, or data management
  • Strong analytical skills with the ability to interpret complex data and communicate insights clearly to diverse audiences
  • Advanced proficiency in Excel and experience with data visualization tools (e.g., Power BI, Tableau)
  • Demonstrated experience developing dashboards and reports for decision-making
  • Experience working with multiple data systems and integrating data from various sources
  • Strong collaboration and communication skills, with the ability to work across teams and functions

Preferred
  • Degree in data analytics, statistics, data science, or a related field
  • Experience with survey tools and statistical software (e.g., Qualtrics, R, SPSS, SAS, or similar)
  • Strong understanding of data visualization best practices and user-centered reporting design
  • Experience with predictive modeling, forecasting, or applied AI in a professional setting
  • Experience working with enterprise data platforms or cloud-based analytics environments
  • Knowledge of FERPA and data privacy standards in higher education

Why You'll Love Working Here
As the Data Strategy Analyst, you'll play a key role in helping the Brandeis Career Center measure and communicate its impact across undergraduate and graduate programs. Your work will shape strategy, inform institutional decision making, and ensure the Career Center uses data to continually improve programs, services, and student outcomes.
  • Join a growing, forward-thinking career center during an exciting period of transformation
  • Lead data strategy and analytics that directly influence organizational priorities and decision making
  • Partner with colleagues across the university and explore innovative approaches to analytics, data visualization, AI, and assessment to improve student success
  • Work on a collaborative team that values curiosity, continuous learning, innovation, and evidence-based decision making

Work Environment: Brandeis combines the educational model of a liberal arts college with the resources of a research university. At our core, we are a medium-sized residential campus that provides a robust in-person experience for students and community members. Career staff work 35 hours per week on a hybrid schedule, with flexible hours when available. Occasional early morning, evening, or weekend work may be required.
Benefits: We invest in our staff through ongoing training, mentorship, professional certification support, conference attendance, and opportunities to become leaders in the career services profession. Brandeis also offers a comprehensive and competitive benefits package designed to support your health, financial well-being, and work-life balance. Benefits include medical, dental, vision, disability, and life insurance; retirement savings; tuition assistance; employee discounts; voluntary insurance options; and free campus parking.
Pay Range Disclosure
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
Equal Opportunity Statement
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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