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Data Storytelling Internship Jobs (NOW HIRING)

QxBranch

Data Scientist QxBranch

Washington, DC · On-site

Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ... Strong data visualization and data "storytelling" skills * Analytics experience in finance ...

QxBranch

Data Scientist QxBranch

Washington, DC · On-site

Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ... Strong data visualization and data "storytelling" skills * Analytics experience in finance ...

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$69K - $70K/yr

Create and improve compelling data stories, visualizations and dashboards based on stakeholder and ... or internships. * Strong SQL skills and experience working with data warehouse systems such as ...

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$120K - $156K/yr

Create and improve compelling data stories, visualizations and dashboards based on stakeholder and ... or internships. * Strong SQL skills and experience working with data warehouse systems such as ...

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How much do data storytelling internship jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data storytelling internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a data storytelling internship?

A Data Storytelling Internship is a position where interns learn to analyze data and present insights in a compelling narrative format. This role combines data analysis with communication skills to help organizations make sense of complex information by turning it into stories that are easy to understand. Interns typically work with visualization tools, statistical software, and presentation platforms to translate data findings into actionable insights. The goal is to bridge the gap between raw data and decision-makers, making data-driven insights accessible and engaging for a broader audience.

What do data storytelling interns do?

As a Data Storytelling Intern, you can expect to work on projects that involve transforming raw data into compelling visualizations and narratives. Common tasks include analyzing datasets to uncover insights, creating presentations or dashboards, and collaborating with analysts, designers, and marketing teams to communicate findings effectively. Interns often participate in brainstorming sessions, help develop data-driven reports, and may contribute to content for both internal and external audiences. This role provides valuable exposure to cross-functional teamwork, data visualization tools, and real-world business challenges.

What are the key skills and qualifications needed to thrive as a data storytelling intern?

To thrive as a Data Storytelling Intern, you need a solid grasp of data analysis, visualization techniques, and a background in fields such as statistics, communications, or data science. Familiarity with tools like Tableau, Power BI, Excel, and programming languages such as Python or R is commonly expected. Strong written and verbal communication, creativity, and an ability to translate complex data into clear narratives are standout soft skills in this role. These abilities are crucial for transforming raw data into compelling stories that inform and influence business decisions.

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

AspectData Storytelling InternshipData Analyst Internship
Required SkillsData visualization, storytelling, communicationData analysis, statistical skills, Excel, SQL
Work EnvironmentCreative, presentation-focused, cross-functional teamsAnalytical, technical, data-driven tasks
Industry UsageMarketing, media, consulting, techFinance, healthcare, tech, retail

While both internships involve working with data, a Data Storytelling Internship emphasizes communicating insights through visualizations and narratives, often in creative or cross-functional settings. In contrast, a Data Analyst Internship focuses on analyzing raw data, performing statistical analysis, and generating reports. Both roles require analytical skills, but their focus and daily tasks differ significantly.

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Data Storytelling Internship jobs near you
Infographic showing various Data Storytelling Internship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Data Scientist Summer Internship

AlixPartners

New York, NY • On-site

Temporary, Internship

Re-posted 12 days ago

Job description

Master's Degree Required - US work authorization needed/no visa sponsorship available - starting June 2027
At AlixPartners, we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve. By understanding, respecting, and honoring the needs of our employees, clients, and communities, AlixPartners actively promotes an inclusive environment. We strongly believe in the value that diversity brings to our experiences and are committed to the perpetual enhancements of initiatives, policies, and practices. We hold ourselves accountable by providing the space for authenticity, growth, and equity for everyone.
AlixPartners has embraced a hybrid work model to provide flexibility and support our employees' work-life integration. Our hybrid model combines a mix of in-person (at client site or AlixPartners office) and remote working. Travel is part of this position, but the frequency may vary based on client, team, and individual circumstances.
What you'll do
AlixPartners, a leading global consulting firm, is seeking Summer Analysts to support our Risk Analytics team, part of our Risk Advisory service line.
Our Risk Advisory interns apply accounting, finance, and data analytics skills to help clients address critical business issues. You will work closely with AlixPartners' experts to support complex matters including commercial litigation, business valuations, and investigations. You'll turn messy, high-volume data into clear, defensible insights that stand up to scrutiny and inform high-stakes decisions.
Examples of work within our Risk Analytics service line include:
  • Apply finance, accounting, and operational concepts to frame analyses and test hypotheses in high-stakes client matters
  • Extract, reconcile, validate, and analyze data from complex enterprise systems to build a clear, audit-ready data story
  • Build and manage large, complex datasets-transforming raw inputs into structured, analysis-ready tables and repeatable workflows
  • Develop structured client-ready materials that translate analyses into actionable insights using visualization and statistical modeling
  • Use industry-leading analytics tools to deliver fast, meaningful insights through innovative, interactive visualizations across high-volume data

This description is not designed to encompass a comprehensive listing of required activities, duties or responsibilities.
This role is based in the New York office, with a hybrid work model. Paid relocation is not available.
What you'll need
Preferred Qualifications
  • Strong academic performance (e.g., cumulative GPA of 3.7 or higher preferred)
  • Experience using AI-enabled tools to enhance analysis, insight generation, and execution, with an understanding of when human judgment, validation, and discretion are essential
  • Advanced proficiency in Microsoft Excel (e.g., pivot tables, formulas, financial modeling, and data analysis)
  • Knowledge of finance, accounting, and/or economics concepts relevant to data-driven risk analysis
  • Ability to query and work with relational databases using SQL (e.g., Microsoft SQL Server, Oracle, MySQL, or equivalent)
  • Working proficiency in one or more programming languages (e.g., Python, R, VB.NET)
  • Experience using analytics, data transformation, and data visualization tools (e.g., SSIS, Alteryx, Tableau, Power BI)
  • Knowledge of applied AI/ML concepts relevant to analytics (e.g., supervised/unsupervised learning, NLP, clustering, RPA)
  • Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences
  • Prior internship, research, or project experience in data analytics or a related field
  • Demonstrated sustained commitment and accountability in team settings (e.g., leadership roles, employment during school, athletics, research, or community commitments), indicating reliability, teamwork, and deadline management.
  • Experience working in team-based, collaborative or client-facing environments
  • Demonstrated ability to interact professionally with clients and senior stakeholders
  • Demonstrated ability to manage tasks and meet deadlines in academic or professional settings
  • Demonstrated experience applying analytical problem solving to complex or ambiguous problems (e.g., analyzing data, developing models, and synthesizing findings to support recommendations)

Requirements
  • Currently pursuing a master's degree with an expected graduation date between December 2027 and August 2028, with ability to participate in our internship program from June 2027 to August 2027
  • Must be enrolled in a master's degree program in Business Analytics, Computer Science, Data Science, Engineering, Mathematics or a related field with a basic knowledge of accounting, statistics, financial and econometric modeling
  • Proficiency using SQL to query, join, and manipulate data from relational databases, demonstrated through prior work experience, internships, research, or academic projects
  • Proficiency in Microsoft Excel and PowerPoint (e.g., ability to use formulas, data analysis tools, and create structured presentations)
  • Professional proficiency in English in written and verbal formats required to support client communications and deliverables
  • Demonstrated experience performing analytical or quantitative work (e.g., coursework, internships, research or projects)
  • Ability to travel up to 100% Monday through Friday as required
  • Must be able to work a hybrid schedule with regular in-person presence in our New York office and be able to commute to the office as required
  • Willingness to work outside of normal U.S. business hours as unique projects/needs arise
  • Ability to work full time in an office and remote environment; physically able to sit/stand at a computer and work in front of a computer screen for significant portions of the workday
  • Must become familiar with, and promote and abide by, our Core Values as defined by the AlixPartners' Code of Conduct and foster an inclusive environment with people at all levels of an organization.
  • IMPORTANT: This role is not eligible for employer-sponsored work authorization at any time. Candidates must be authorized to work in the United States without employer sponsorship now and in the future.

This includes candidates who are currently authorized to work on a temporary basis (e.g., H-1B visa, STEM OPT, CPT, TN, F-1, J-1, etc.) but will require sponsorship at a later date. Candidates who will require employer sponsorship at any point during their employment are not eligible for this role.
The hourly range for this role takes into account a number of factors and is between $40/hour - $50/hour.
AlixPartners is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability. AlixPartners is a proud Gold award-winning Veteran Friendly Employer.
This job will remain posted until 09/25/2026
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