1

Data Storyteller Jobs (NOW HIRING)

Data Storytelling: Excellent written and oral communication, presentation, and data storytelling skills. * Leadership & Collaboration: Good skills to manage client relationships and conduct community ...

If you're a data storyteller who loves turning numbers into action, this freelance m arketing analyst opportunity is for you. Support a collaborative, curious team for which data and creativity work ...

You're a trusted data storyteller: you can write a tight SQL query, design a rigorous experiment, and then turn those findings into a narrative that moves a roadmap. You believe that the best data ...

You're a trusted data storyteller: you can write a tight SQL query, design a rigorous experiment, and then turn those findings into a narrative that moves a roadmap. You believe that the best data ...

Apply data storytelling and visualization best practices to communicate complex information clearly to technical and non-technical audiences. * Support and advance business intelligence capabilities ...

Apply data storytelling and visualization best practices to communicate complex information clearly to technical and non-technical audiences. * Support and advance business intelligence capabilities ...

Strategic Data Storytelling: Translate technical findings into visual formats (graphs, charts, heatmaps) that provide clear, actionable recommendations for executive and technical stakeholders.

Strategic Data Storytelling: Translate technical findings into visual formats (graphs, charts, heatmaps) that provide clear, actionable recommendations for executive and technical stakeholders.

Strategic Data Storytelling: Translate technical findings into visual formats (graphs, charts, heatmaps) that provide clear, actionable recommendations for executive and technical stakeholders.

Strategic Data Storytelling: Translate technical findings into visual formats (graphs, charts, heatmaps) that provide clear, actionable recommendations for executive and technical stakeholders.

This person will own metric definition, dashboard delivery, and stakeholder storytelling across ... Proficiency in data visualization and BI tools, especially Tableau * Experience defining, measuring ...

Recommend actions based on your insights by effectively telling the story that is supported by data through presentations (PowerPoint), data visualizations (Tableau), and clear and concise verbal and ...

Showing results 41-60

Data Storyteller information

See salary details

$13

$38

$91

How much do data storyteller jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data storyteller in the United States is $38.69, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $45.91 per hour, depending on experience, location, and employer.

What is a data storyteller?

A Data Storyteller translates complex data into clear, engaging narratives that drive decision-making. They blend data analysis, visualization, and storytelling techniques to communicate insights effectively to diverse audiences. This role requires proficiency in data tools, storytelling frameworks, and an understanding of business objectives. Data Storytellers help stakeholders grasp key trends, patterns, and implications, making data more actionable.

What types of projects or deliverables can I expect to work on as a data storyteller?

As a Data Storyteller, you will typically create engaging data visualizations, interactive dashboards, and presentation materials that communicate key insights to stakeholders. You may work on projects such as analyzing customer trends, measuring campaign effectiveness, or identifying operational efficiencies, translating technical findings into actionable business recommendations. Collaboration is common, as you'll regularly partner with data analysts, marketers, product managers, and executives to ensure your narratives align with organizational goals. This role offers a dynamic blend of analytical responsibilities and creative communication, providing opportunities to influence decision-making across various departments.

What are the key skills and qualifications needed to thrive in the data storyteller position, and why are they important?

To thrive as a Data Storyteller, you need a strong background in data analysis, visualization, and narrative framing, often supported by a degree in data science, statistics, or a related field. Familiarity with technical tools like Tableau, Power BI, Excel, and programming languages such as Python or R is highly beneficial, and certifications in data visualization or analytics are advantageous. Exceptional communication, creativity, and the ability to tailor complex information for non-technical audiences are critical soft skills. These competencies are essential for transforming raw data into compelling insights that drive informed business decisions.

How much do data storytellers make?

Data storytellers typically earn between $60,000 and $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data visualization tools and storytelling techniques tend to command higher salaries.
More about Data Storyteller jobs

What cities are hiring for Data Storyteller jobs?

Cities with the most Data Storyteller job openings:

What are the most commonly searched types of Data Storyteller jobs?

The most popular types of Data Storyteller jobs are:

What states have the most Data Storyteller jobs?

States with the most job openings for Data Storyteller jobs include:

What are popular job titles related to Data Storyteller jobs?

For Data Storyteller jobs, the most frequently searched job titles are:

Infographic showing various Data Storyteller job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $80,479 per year, or $38.7 per hour.

ENTERPRISE DATA ANALYST

SmartIPlace

Juno Beach, FL • On-site

$50 - $55/hr

Contractor

Re-posted 28 days ago


Key responsibilities

  • Become a Data Portfolio Expert by learning and managing the EDP's data assets, models, and access controls.

  • Support data discovery efforts by providing guidance on the EDP's data assets and maintaining data catalog and documentation.

  • Conduct data and business process analysis for new projects, monitor data quality, and develop optimized SQL queries.


Job description

Interview Process: 1st round virtual

Since this is an enterprise role reporting to corporate, 2nd round of Interview is possible to be onsite !!! 

Do not submit candidates who are not willing for ONSITE INTERVIEW if requested.

MUST HAVE GREAT COMMUNICATION SKILLS

  Location: Must reside in Florida (exact address required)

  LinkedIn Profile: Mandatory

BE CAREFUL OF SCREENING AND SUBMITTING CANDIDATES. 

CHECK THEIR RESUMES. MAKE SURE THAT THEY DIDN'T JUST DIRECTLY COPIED THE JOB DESCRIPTION.

  •  

RESUMES THAT ARE DIRECTLY MIRORRING THE JD WILL BE AUTOMATICALLY DISQUALIFIED.

Must have a LinkedIn. Must have a FLORIDA ADDRESS

Enterprise Data Analyst

The Enterprise Data Analyst (DA) is a key technical liaison between the Enterprise Data Platform (EDP) and various NEE business units. This role uses a blend of business analysis and data expertise to drive the successful use of enterprise data, break down silos, and contribute to overarching business strategies. The DA serves as an advocate for the EDP's data portfolio, helping business partners understand its value, meet their data goals, and tell compelling stories with data.

Required Skills & Experience

  • Technical Proficiency: Excellent command of SQL.
  • Analytical Aptitude: Strong problem-solving, analytical, and quantitative skills.
  • Data Storytelling: Excellent written and oral communication, presentation, and data storytelling skills.
  • Leadership & Collaboration: Good skills to manage client relationships and conduct community-of-practice sessions; demonstrated ability to work effectively in a team environment as well as independently.
  • Experience with data in SAP or Salesforce.
  • Experience with Corporate Finance data.
  • Experience of AWS Redshift.
  • ERwin data modeling experience
  • Basic understanding of data management and governance frameworks.

Key Responsibilities

As an Enterprise Data Analyst, you will:

  • Become a Data Portfolio Expert: Deeply learn and evolve into the Subject Matter Expert (SME) for the EDP's data portfolio, including its enterprise data model, data products, data ownership, and access control configurations.
  • Support Data Discovery: Assist both technical and non-technical teams, internally and externally, by providing information and guidance on the EDP's data assets.
  • Drive Project Analysis: Conduct in-depth data and business process analysis for new projects entering the EDP pipeline.
  • Manage Data Knowledge: Maintain and improve the EDP's data catalog and discovery tools by:
  • Keeping knowledge articles and data dictionaries current (reviewing, refining, and creating new content).
  • Analyzing usage trends and recommending platform improvements.
  • Ensure Data Quality: Monitor the quality of various data products, identify gaps, and provide actionable recommendations for data quality improvement.
  • Provide Analytical Support: Collaborate with various business units and development teams to understand their data needs and deliver analytical solutions.
  • Champion Process Improvement: Communicate, recommend, and help implement business process improvements based on data analysis findings.
  • Analyze and Interpret Data: Proactively identify and interpret trends, patterns, and anomalies within large datasets.
  • Develop Performant Queries: Write and optimize SQL queries, utilizing basic understanding of performance techniques.
  • Document Data Relationships: Utilize data modeling tools (e.g., ERwin) to understand, document, and share knowledge about the relationships between datasets.
  • Create Visualizations: Design and build impactful visualizations and dashboards using tools like Power BI, Amazon Quicksight, or similar platforms.
  • Support Quality Assurance: Test business processes, help identify data issues, support User Acceptance Testing (UAT), and document findings.
  • Build Relationships: Establish strong working relationships with business product owners, practitioners, and executive leadership teams across the organization.
  • Foster a community: Work with BI and Client Analysts to establish and lead a Data-Analysis Community of Practice for the EDP.

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media