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Senior Data Storyteller Jobs (NOW HIRING)

MANTECH seeks a motivated, career and customer-oriented Senior Data Scientist to join our team in ... stories and presentations. Deep knowledge of data warehousing, Data Lake concepts, and data ...

Sr Data Analyst

$40 - $60/hr

  • Medical

  • Dental

  • Vision

... tools. Sr. Data QA Analyst Must Have Skills: • Experience with, and understanding of ... Contribute to agile story refinement and estimation * Contribute as a member of the Data ...

Sr. Data Scientist

San Mateo, CA · On-site

$145 - $175/hr

  • Medical

  • Retirement

  • PTO

The Purpose Slickdeals is seeking a Senior Data Scientist to help shape how we grow by partnering ... Translate complex analyses into clear narratives, recommendations, and data stories that influence ...

Senior Data Analyst

Plano, TX · On-site

$80K - $101K/yr

The Senior Data Analyst for Stellus Rx will help our communities thrive as a key member of the ... Leads small projects writing, prioritizing, and managing all product user stories and properly ...

Sr. Data Engineer

Los Angeles, CA · On-site

$114K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Analyze documentation including business requirements, use cases, user stories, data dictionary ... Senior Data Engineer who is passionate about building modern, scalable data platforms that enable ...

MANTECH seeks a motivated, career and customer-oriented Senior Data Scientist to join our team in ... stories and presentations. Deep knowledge of data warehousing, Data Lake concepts, and data ...

Senior Data Analyst

Waltham, MA

$92K - $117K/yr

We're seeking a proactive and strategically minded Senior Analyst to join our Data & Analytics team ... Financial Storytelling: Partner with FP&A to pressure-test growth forecasts and connect product ...

MANTECH seeks a motivated, career and customer-oriented Senior Data Scientist to join our team in ... stories and presentations. Deep knowledge of data warehousing, Data Lake concepts, and data ...

Senior Data Analyst

Scottsbluff, NE · On-site

$91K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts ... Excellent communication, presentation, and storytelling skills, with the ability to articulate ...

Senior Data Analyst

$88K - $112K/yr

Role Purpose The Senior Data Analyst is responsible for transforming data into clear insights that ... Use AI tools to speed up analysis, hypothesis exploration, and storytelling Core Data Analytics ...

Senior Data Scientist

San Jose, CA · On-site

$130K - $191K/yr

  • Medical

  • Life

  • PTO

Roku is seeking a Senior Data Scientist to join the Core Analytics team with a focus on Ad Quality ... You will translate complex technical findings into compelling data stories that provide strategic ...

Showing results 41-60

Senior Data Storyteller information

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$19

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How much do senior data storyteller jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for senior data storyteller in the United States is $57.14, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.87 per hour, depending on experience, location, and employer.

What is the difference between Senior Data Storyteller vs Data Analyst?

AspectSenior Data StorytellerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Communications, or related fields; experience in storytelling and visualizationBachelor's in Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentCollaborates with marketing, product, and executive teams to craft narratives from dataAnalyzes data sets to identify trends, generate reports, and support decision-making
Employer & Industry UsageUsed across tech, finance, healthcare, and marketing sectors for communicating insightsCommon in finance, consulting, healthcare, and tech industries for data-driven decision support

The Senior Data Storyteller focuses on translating complex data into compelling narratives and visualizations for diverse audiences, often working closely with communication teams. In contrast, Data Analysts primarily analyze data sets to identify trends and generate reports. While both roles require strong analytical skills, the Senior Data Storyteller emphasizes storytelling and visualization expertise to effectively communicate insights.

What is a senior data storyteller?

A Senior Data Storyteller is a professional who specializes in translating complex data analyses into compelling, clear narratives that drive understanding and decision-making. They combine expertise in data analysis with strong communication and visualization skills to present insights in ways that resonate with diverse audiences, from executives to non-technical stakeholders. Senior Data Storytellers often collaborate with data scientists, analysts, and business leaders to identify key messages and build persuasive stories that support strategic objectives. Their work helps organizations make data-driven decisions by making data accessible and actionable.

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

To thrive as a Senior Data Storyteller, you need advanced data analysis, visualization, and communication skills, often supported by a degree in data science, statistics, or a related field. Expertise with tools like Tableau, Power BI, and programming languages such as Python or R is typically required, along with experience using data storytelling frameworks. Outstanding narrative ability, creativity, and stakeholder engagement are crucial soft skills for translating complex insights into compelling, actionable stories. These skills are vital for bridging the gap between data and decision-makers, ensuring insights drive strategy and organizational impact.

How much do senior data storytellers make?

Senior data storytellers typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. They often possess skills in data visualization tools like Tableau or Power BI and have strong communication abilities to translate complex data into clear narratives.

How does a senior data storyteller typically collaborate with stakeholders across different departments?

Senior Data Storytellers work closely with cross-functional teams such as marketing, product, and executive leadership to understand their goals and tailor data-driven narratives accordingly. They often facilitate workshops or meetings to translate complex analytics into compelling visual stories that are easily understood and actionable. Building these collaborative relationships is key to ensuring that insights are aligned with business objectives and that recommendations have a measurable impact.
More about Senior Data Storyteller jobs
What cities are hiring for Senior Data Storyteller jobs? Cities with the most Senior 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 Senior Data Storyteller jobs? States with the most job openings for Senior Data Storyteller jobs include:
Infographic showing various Senior Data Storyteller job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $118,854 per year, or $57.1 per hour.

Senior Data Scientist

MANTECH

Doral, FL • On-site

Full-time

Posted 7 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

32nd of 243 rated software companies


Job description

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

MANTECH seeks a motivated, career and customer-oriented Senior Data Scientist to join our team in Doral, FL.

Responsibilities include but are not limited to:

  • Lead the development and implementation of innovative data strategies and frameworks, driving data-driven decision-making and organizational learning
  • Provide expert guidance and mentorship to other Data Scientists and Analysts, fostering a culture of data literacy and collaboration across the organization
  • Lead the design and implementation of complex data collection, storage, and retrieval processes, ensuring data quality, integrity, and accessibility for analysis and reporting
  • Conduct advanced data analysis and modeling, using cutting-edge statistical techniques, data mining, and machine learning algorithms to uncover hidden patterns, trends, and correlations within large data sets
  • Develop predictive models, conduct simulations, and perform statistical analysis to provide actionable insights that drive strategic initiatives, optimize program performance, and support informed decision-making
  • Create sophisticated reports, dashboards, and visualizations to effectively communicate complex data findings and insights to stakeholders at all levels of the organization
  • Contribute to the development and implementation of data governance policies, ensuring compliance with regulatory requirements and industry best practices. Contribute to the data science community through publications, presentations, and participation in industry events, sharing knowledge and expertise to advance the field
     

Minimum Qualifications:

  • Four (4) years of relevant experience in data science, data analytics or in a related role.
  • Bachelor’s degree in relevant field of study, Data Science, Data Analytics, Computer Science, Information Technology, etc.. A degree can be substituted for additional experience: High School Diploma and 4 years of additional experience or Associate’s Degree and 2 years of additional experience.
  • A relevant Master’s degree is equivalent to 2 years of related experience. A relevant PhD is equivalent to 4 years of related experience.
  • Proficiency in data analysis tools and languages (e.g., Python with pandas, scikit-learn, R, SQL), including experience with distributed computing frameworks (e.g., Hadoop, Spark).
  • Experience with data visualization tools (e.g., Tableau, Power BI) and techniques, including the ability to create compelling data stories and presentations. Deep knowledge of data warehousing, Data Lake concepts, and data architecture principles. Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and their associated data storage, processing, and analytics services.
  • Demonstrated experience in developing and implementing data strategies and frameworks, aligning data initiatives with organizational goals and objectives. Strong understanding of data governance principles, best practices, and relevant data security and privacy regulations (e.g., GDPR, CCPA).

Preferred Qualifications:

  • Master’s degree or PhD in Data Science, Information Technology, Cybersecurity, Computer Science, or related field.
  • Demonstrated knowledge of IT service management best practices and their integration with data science initiatives. Experience with Risk Management Framework (RMF) and its application to data security and privacy. Experience with Zero Trust Architecture principles and their implementation in data environments.
  • Contributions to industry publications or presentations on data science topics, demonstrating thought leadership and a commitment to advancing the field. Active participation in professional data science communities and organizations.
  • Relevant certifications in data science or data analytics (e.g., Certified Analytics Professional (CAP), Cloudera Certified Professional Data Scientist (CCP:DS)). ITIL Foundation certificate.
  • Experience at a DoD Combatant Command (e.g., SOUTHCOM, NORTHCOM, CENTCOM, CYBERCOM, INDOPACOM, EUCOM, AFRICOM, STRATCOM, TRANSCOM, SOCOM, SPACECOM) or a component is desired.
     

Clearance Requirements:

  • Must have a current/active Secret security clearance.
  • Must be able to obtain and maintain a Top Secret with SCI eligibility.
     

Physical Requirements:

  • The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.

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