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Senior Data Storyteller Jobs in Rochester, NY (NOW HIRING)

The role works under the guidance of senior analysts and follows established metrics and reporting ... of enhancing data storytelling and supporting consistent reporting. Visual design includes ...

... 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 ...

... 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 ...

Those in data quality and operations at PwC will focus on the accuracy, completeness, and ... Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems ...

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Financial data is translated into clear, actionable recommendations. * Leadership has accurate ... The ability to understand the story behind the numbers, not simply confirm that two totals match ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems ...

Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems ... The world runs on data. It flows between machines, platforms, clouds, and people - and the ...

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Senior Data Storyteller information

See Rochester, NY salary details

$19

$56

$78

How much do senior data storyteller jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for senior data storyteller in Rochester, NY is $56.38, according to ZipRecruiter salary data. Most workers in this role earn between $47.21 and $65.00 per hour, depending on experience, location, and employer.

What jobs make $1,000,000 a year?

Senior Data Storytellers typically do not earn $1,000,000 annually; such high salaries are usually found in executive roles like CEOs, hedge fund managers, or successful entrepreneurs. High earnings in data-related fields may occur with bonuses, equity, or in leadership positions within large organizations, but reaching the million-dollar mark is rare for individual contributors. Skills in data visualization, storytelling, and strategic insight can lead to executive-level compensation over time.

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 data storytellers make?

Data storytellers, often senior data analysts or data visualization specialists, typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Advanced skills in data visualization tools like Tableau or Power BI and strong communication abilities can influence salary levels.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Director, Chief Data Officer, or Lead Data Scientist tend to have the highest salaries, often exceeding six figures annually. These positions require advanced skills in machine learning, statistical analysis, and leadership, along with extensive experience and often relevant certifications.

How do Senior Data Storytellers 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.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data storyteller or entering data science, as skills such as data analysis, visualization, and storytelling can be developed at any age. Many professionals successfully transition into data roles later in their careers by gaining relevant certifications, building portfolios, and continuously learning new tools like SQL, Python, or Tableau.
What job categories do people searching Senior Data Storyteller jobs in Rochester, NY look for? The top searched job categories for Senior Data Storyteller jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Senior Data Storyteller jobs? Cities near Rochester, NY with the most Senior Data Storyteller job openings:
Infographic showing various Senior Data Storyteller job openings in Rochester, NY as of June 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,270 per year, or $56.4 per hour.
Managed Services - Senior Data Engineer - Senior Manager

Managed Services - Senior Data Engineer - Senior Manager

Pwc

Rochester, NY • On-site

$124K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

24th of 73 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Manager

Job Description & Summary

The Opportunity
As a Senior Data Engineer - Senior Manager, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Technology Consulting practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Manager, you will utilize your skills and professional network to deliver quality results, motivating and coaching teams to solve complex problems. You will apply sound judgment, recognizing when to take action and when to escalate, while fostering a diverse and inclusive team environment.
In this role at PwC, you will craft and convey clear, impactful messages that tell a holistic story, applying systems thinking to identify underlying problems and opportunities. You will validate outcomes with clients, share alternative perspectives, and act on client feedback. Your ability to navigate complexity and demonstrate composure in challenging situations will contribute to the success of our firm. This position offers the chance to deepen your skills and stay relevant in the ever-evolving field of data and analytics, making a significant impact on both client success and the growth of our practice.
Responsibilities
- Developing innovative solutions to optimize business performance and enhance competitive advantage (solution optimization and roadmap development)
- Utilizing advanced analytics techniques to support client operations and strategic goals (AWS data engineering and Redshift)
- Building and maintaining data pipelines and architectures to support business intelligence efforts -(DataStage, ETL)
- Implementing data visualization tools to provide actionable insights and improve client outcomes -(SQL Server, DB2)
- Collaborating with stakeholders to identify and address data challenges and opportunities (Managed services, and SLAs)
- Coaching and motivating teams to solve complex problems and deliver quality results
- Applying systems thinking to identify underlying problems and opportunities within client projects (workload orchestration and scheduling)
- Validating outcomes with clients and acting on feedback to refine solutions -(CSAT and performance tuning)
- Directing teams through ambiguous and challenging situations with composure and sound judgment
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
- Demonstrating advanced skills in data architecture development and data pipeline management
- Utilizing Python and Java for complex data analysis and visualization
- Excelling in business intelligence tools like QlikView and Oracle BI
- Leading strategic questioning and stakeholder engagement initiatives
- Applying systems thinking to identify and address underlying problems
- Directing teams through complex and ambiguous situations

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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