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Part Time Data Storytelling Jobs (NOW HIRING)

Northeastern University's College of Professional Studies invites applicants for a part-time ... and data story telling. This degree prepares students for entry- and mid-level roles in analytics ...

The other monitors radar, data, and communications. Precision, calm judgment, and ethical decision ... Stories about people of all backgrounds, perspectives, and identities. That's why, behind the ...

The other monitors radar, data, and communications. Precision, calm judgment, and ethical decision ... Stories about people of all backgrounds, perspectives, and identities. That's why, behind the ...

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... Strong communication and storytelling skills. * Deeply curious with a drive to learn. * Pragmatic.

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Part Time Data Storytelling information

What is a part-time data storytelling job?

A part-time data storytelling job involves analyzing data and presenting findings in a compelling, clear, and engaging way, typically through visualizations, reports, or presentations. Data storytellers turn complex data insights into narratives that help organizations make informed decisions. Working part-time means you may take on specific projects or work limited hours each week, offering flexibility to balance other commitments. This role is valuable in businesses, nonprofits, and media organizations that need to communicate data-driven insights to varied audiences.

How does a part-time data storytelling role typically collaborate with other teams or departments?

In a part-time data storytelling position, you'll often work closely with analysts, marketing teams, and decision-makers to interpret and present data insights in a compelling way. Effective communication and regular check-ins are essential, as you'll need to understand the context behind the data and the goals of each department. Despite being part-time, you're likely to participate in cross-functional meetings and contribute to project briefs, ensuring your data stories align with business objectives. Being proactive about scheduling and setting expectations helps maximize your impact while managing a flexible workload.

What are the key skills and qualifications needed to thrive as a Part Time Data Storytelling professional, and why are they important?

To thrive as a Part Time Data Storytelling professional, you need a strong foundation in data analysis, visualization, and the ability to translate complex data into actionable insights, often supported by a relevant degree or coursework. Proficiency with tools like Excel, Tableau, Power BI, and basic knowledge of statistical or scripting languages such as Python or R is typically required. Exceptional communication, narrative-building, and critical thinking skills help you present data-driven stories that resonate with diverse audiences. These skills are crucial for enabling organizations to make informed decisions and communicate findings effectively with stakeholders.

What is the difference between Part Time Data Storytelling vs Part Time Data Analyst?

AspectPart Time Data StorytellingPart Time Data Analyst
Required SkillsData visualization, storytelling, communicationData analysis, statistical skills, reporting
Work EnvironmentCreative, presentation-focused, often project-basedAnalytical, data-driven, often in office or remote
Common EmployersMedia, marketing, consulting firmsFinance, tech, healthcare companies

Part Time Data Storytelling focuses on translating complex data into engaging narratives and visualizations, emphasizing communication skills. In contrast, Part Time Data Analysts primarily perform data collection, analysis, and reporting. While both roles require analytical skills, Data Storytelling emphasizes creativity and presentation, making them distinct yet complementary roles in data-driven industries.

More about Part Time Data Storytelling jobs
What cities are hiring for Part Time Data Storytelling jobs? Cities with the most Part Time Data Storytelling job openings:
What are the most commonly searched types of Data Storytelling jobs? The most popular types of Data Storytelling jobs are:
What states have the most Part Time Data Storytelling jobs? States with the most job openings for Part Time Data Storytelling jobs include:
What job categories do people searching Part Time Data Storytelling jobs look for? The top searched job categories for Part Time Data Storytelling jobs are:
Infographic showing various Part Time Data Storytelling job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution.

Part-Time Lecturer - Analytics (Seattle)

Northeastern University

Seattle, WA • On-site

$1.5K/wk

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

About the Opportunity
About the Opportunity:
Northeastern University's College of Professional Studies invites applicants for a non-tenure track part-time faculty position to teach in the Master of Professional Studies in Analytics, located on-ground in Seattle, WA.
The mission of the Master of Professional Studies in Analytics program is to foster foundational analytics skills among working professionals, including preparing data, conducting data analysis such as regression, forecasting, optimization, data visualization, and data story telling. This degree prepares students for entry- and mid-level roles in analytics, such as data analyst, data specialist, database analyst, program analyst, research analyst, or research associate. These roles are general analyst roles and are not specific to any particular professional domains or disciplines (e.g., business, marketing, and engineering). The degree is deeply rooted in experiential learning that is closely linked to professional applications in the work force.
The College of Professional Studies is one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.
Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University's sponsorship for a visa.
Responsibilities:
Instructional areas included, but are not limited to, analytics, with particular expertise in probability and statistics, data exploration, data visualization, and predictive analytics. More in formation about offered courses are available through the Northeastern Course Catalog.
Qualifications:
  • Masters in an aligned discipline and analytics-industry experience.
  • Preference for candidates with a PhD in a sciences field, or similar.
  • Demonstration of teaching, coaching, and/or training is required, with a history of successful teaching (online/on ground) at the graduate level is strongly preferred.

Application Materials
Applicants should submit materials including a cover letter and vitae. In your cover letter, please discuss how you can support our commitment to fostering an inclusive environment for all faculty, staff, and students.
Please direct questions to Joseph Reilly at j.reilly@northeastern.edu.
Position Type
Academic
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Pay Range:
The per credit rate is $1,529