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Senior Data Storyteller Jobs in Delaware (NOW HIRING)

Pharmacy Senior CX Professional

Dover, DE · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Improve outcomes through data storytelling and collaboration, aligning teams without director ... CenterWell Senior Primary Care provides proactive, preventive care to seniors, including wellness ...

Senior Business Analyst

Dover, DE · On-site

$73K - $94K/yr

... user stories, and use cases to support implementation readiness, Solution Integrator design ... Perform data analysis, data mapping, and migration validation activities to ensure data integrity ...

$19.50 - $26.75/hr

  • Medical

  • Retirement

... Senior MC Responsibilities * Advise and prepare unit commanders for media interaction and press conferences * Develop content strategies and create data stories * Speak to the press on behalf of the ...

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Senior Data Storyteller information

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.

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.

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.

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 are popular job titles related to Senior Data Storyteller jobs in Delaware?

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

What job categories do people searching Senior Data Storyteller jobs in Delaware look for?

The top searched job categories for Senior Data Storyteller jobs in Delaware are:

What cities in Delaware are hiring for Senior Data Storyteller jobs?

Cities in Delaware with the most Senior Data Storyteller job openings:

Infographic showing various Senior Data Storyteller job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Data Scientist - Marketing & Customer Analytics

PNC Bank

Wilmington, DE

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 345 frontline employees who took The Breakroom Quiz

92nd of 171 rated banks


Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Senior Data Scientist within PNC's Data, Modeling & Analytics organization specifically within our Marketing & Customer Analytics group, you will be based in Pittsburgh, PA, Tysons Corner or Vienna, VA or Wilmington, DE.
The Senior Data Scientist - Marketing Valuations will play a critical role in accelerating profitable growth by developing, scaling, and applying valuation analytics and statistical models to enable decisionmaking across marketing strategies.
This role focuses on translating customer, offer, and channel economics into actionable valuation frameworks that inform prioritization, optimization, and investment decisions.
The ideal candidate combines expertise in statistical modeling and advanced analytics with business acumen to deliver analytical solutions for Marketing Valuations.
Key Responsibilities:
Valuation model development & Financial Forecasting: Design and develop valuation and forecasting models such as: Net Present Values, Customer Lifetime Value and Offer Economics to guide marketing budget optimization and investment decisions.
Apply advanced statistical and causal modeling to quantify incremental impact, uncertainty and trade-offs.
Strategic Decision Support: Analyze large datasets to understand customer behavior and translate insights into clear business cases with measurable outcomes.
End-to-End Analytical Ownership: Own the full analytical lifecycle, from problem framing and data exploration to model development and validation.
Cross-functional collaboration: Partners with marketing strategy, finance, and data teams to drive adoption of valuation outputs, advise on their application, and present findings clearly to senior executives to support strategic decisions.
Preferred Skills and Experience:
Advanced degree in a quantitative field (e.g., mathematics, statistics, economics etc.) is preferred.
Progressive experience in data science, advanced analytics, or quantitative modeling, preferably in financial services or marketing analytics.
Demonstrated expertise in marketing valuation concepts, including customer lifetime value, incremental or causal value and offer or channel economics.
Intermediate proficiency in Python and SQL. Knowledge of cloud platforms and big data technologies (Spark, Hadoop).
Excellent communication skills with the ability to explain complex approaches to non-technical and executive stakeholders.
Strong attention to detail.PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
  • Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
  • Directs the data gathering, data processing and data mining of large and complex datasets.
  • Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
  • Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling.
  • Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)CompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationMastersCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $100,100.00 - $185,900.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 04/09/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


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