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Data Storytelling Internship Jobs (NOW HIRING)

QxBranch

Data Scientist QxBranch

Washington, DC

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 ...

Modea

Data Analyst I

Roanoke, VA · On-site +1

... data storytelling.Essential Duties and ResponsibilitiesDiscovery & Visibility Support (SEO/GEO ... internship experience applies). * Foundational understanding of data analysis concepts, including ...

Modea

Data Analyst I

Roanoke, VA · Remote

... data storytelling. Essential Duties and Responsibilities Discovery & Visibility Support (SEO/GEO ... internship experience applies). * Foundational understanding of data analysis concepts, including ...

Orlando Health

Data/BI Analyst, VBC

Orlando, FL

Supports data storytelling through impactful dashboards and reporting solutions. Excellent ... Completion of an Administrative Internship program in a hospital, physician group, or healthcare ...

Orlando Health

Data/BI Analyst, VBC

Orlando, FL · On-site

Supports data storytelling through impactful dashboards and reporting solutions. Excellent ... Completion of an Administrative Internship program in a hospital, physician group, or healthcare ...

Intel Corporation

DTCO Data Engineer Intern

Austin, TX · On-site

... and data storytelling to communicate insights effectively to stakeholders. - Gain hands-on ... Our standard internship rates are based on your degree, location, and the job role. Your recruiter ...

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Data Storytelling Internship information

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How much do data storytelling internship jobs pay per hour?

As of Jul 13, 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 are some typical projects or tasks a Data Storytelling Intern might work on during their internship?

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, and why are they important?

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 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 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
Data Scientist

Data Scientist

Zimmerman Advertising

Fort Lauderdale, FL

Full-time

Re-posted 26 days ago

Job description

The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results.

Responsibilities

  • Apply specialized technical knowledge and expertise to perform reviews relating to the full life cycle of models, information technology applications, or risk management/analysis used across the company.
  • Collaborate and share knowledge with teams across the media organization, as appropriate. Build and maintain relationships with business partners at the manager and staff levels.
  • Use data analysis, mining, and migration techniques for enhanced targeting, audience segmentation, clustering, profiling, and regression analysis
  • Identify digital placement-level strengths and weaknesses across simultaneous campaigns and geographies
  • Develop and maintain internal automated reporting tools, documents, scoring systems, and dashboards for on-going and post-campaign reporting
  • Coordinate cross-functional reviews to discuss region- and campaign-specific findings and actionable recommendations for digital media campaigns built on various CPM, CPC, CPE, and CPA models
  • Identify and facilitate resolution of tagging issues in coordination with Traffic and Production teams focused on site-side tracking, reporting, and implementation
  • Provide client-facing/non-technical recommendations and insights, both in a written and verbal manner, that provide understandable and actionable optimizations.
  • Work with Media, Strategic Intelligence and Account Services teams to develop measurement plans to deliver on campaign and client objectives

Requirements

  • Bachelor's degree in related field
  • Entry-Level and/or College Internship experience 
  • Must demonstrate the ability to successfully develop and run analytics (scripts) using specialized tools and platforms, specifically, R, Python, SQL, and/or SAS.
  • Experience applying data synthesis, mining and regression techniques for enhanced targeting, audience segmentation, clustering, profiling, and insightful recommendations
  • Advanced knowledge of Microsoft Excel
  • General understanding of digital advertising, digital media strategy, ad placement type, placement-level insight, and standard media metrics is preferred
  • Experience with data orchestration tools such as Annalect Omni is preferred
  • Excellent verbal, written and interpersonal communication skills
  • Ability to work independently and as part of a team
  • Ability to manage multiple projects simultaneously while meeting deadlines
  • Regression modeling focusing on maximizing yield while measuring the diminishing returns of ad spend at scale for thousands of locations.
  • Data storytelling and presentation

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