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Remote Data Storytelling Jobs (NOW HIRING)

PatientPoint

REMOTE - Data Scientist

$101.54K - $175.73K/yr

Cincinnati OR Remote Travel Required: 2-3 times yearly Job Summary The Data Science team at ... The ability to empower others through data storytelling - translating complex data findings into ...

SECURE RPO LLC

Data Scientist

Chicago, IL · On-site +1

... remote monitoring and data analytics methods to continuously improve EHC efficiency and ... Excellent communication and data storytelling skills; ability to succinctly convey complex ...

Life360

Data PR Manager, AI Native

$166.50K - $195K/yr

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit ... You'll craft stories that shape our brand narrative in the press and help position the Life360 ...

Data Ideology

Data Analyst

Pittsburgh, PA · Remote

... data storytelling through reports, visualizations, and diagrams * Document data mappings ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Ideology LLC

Data Analyst

Pittsburgh, PA · On-site +1

... data storytelling through reports, visualizations, and diagrams * Document data mappings ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

BluZinc

Director Business Intelligence Data Analysis

NY · On-site +1

$150K - $200K/yr

Hands-on with data storytelling, automation, and executive-level reporting. * Commercial, analytical, and systems thinker with strong stakeholder engagement skills. What's on Offer * Remote USA-based ...

Atlanta Regional

Data Analyst, Senior

Atlanta, GA · On-site +1

$64.67K - $87.30K/yr

Regular Full-Time Remote Employment: Flexible/Hybrid Office: Office of the Chief Research ... Prepare written reports, presentations, and data stories that communicate complex findings to ...

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Remote Data Storytelling information

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

To thrive as a Remote Data Storytelling professional, you need strong analytical skills, experience with data visualization, and a background in statistics or data science. Familiarity with tools like Tableau, Power BI, and spreadsheet software, as well as proficiency in data analysis languages such as Python or R, is usually required. Exceptional communication, creativity, and the ability to translate complex data into compelling narratives set top performers apart. These skills are crucial for making data-driven insights accessible and actionable to diverse, often remote, audiences.

How does a remote data storytelling professional typically collaborate with team members and stakeholders across different locations?

Remote data storytelling professionals often work closely with data analysts, subject matter experts, and business stakeholders through virtual meetings and collaborative platforms. They use tools like Slack, Zoom, and shared dashboards to gather insights and feedback, ensuring their narratives effectively communicate findings to both technical and non-technical audiences. Clear communication and adaptability are key, as team members may be in different time zones and require asynchronous updates. Regular check-ins and review cycles help maintain alignment and ensure the data stories address business objectives.

What is remote data storytelling?

Remote data storytelling is the practice of using data visualization, narrative techniques, and digital tools to convey insights and tell compelling stories from data while working from a remote location. Professionals in this field analyze data sets, create visualizations, and craft narratives that help stakeholders understand key findings, often collaborating with teams virtually. The goal is to make complex data accessible and actionable, regardless of where team members are located. This role typically requires strong analytical, communication, and technical skills, along with proficiency in data visualization and collaboration platforms.
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Remote Data Storytelling jobs near you
Infographic showing various Remote Data Storytelling job openings in the United States as of May 2026, with employment types broken down into 76% Full Time, 9% Part Time, and 15% Contract. Highlights an 100% Remote job distribution.
Senior Data Scientist *** Direct End Client ***

Senior Data Scientist *** Direct End Client ***

Projas Technologies, LLC

San Diego, CA • On-site, Remote

Other

Posted 2 days ago

Job description

Job Title: Senior Data Scientist Product & Marketing Analytics

Job Description:
Do you thrive on turning complex data into actionable insights? Are you passionate about influencing product, marketing, and business strategy through data? We re looking for a Senior Data Scientist to join a high-impact team focused on driving top-of-funnel growth for a suite of digital service offerings.

This role sits at the intersection of data science, product strategy, marketing analytics, and customer insights. You will work cross-functionally with Product, Marketing, Sales, Customer Success, Engineering, and Finance teams to uncover new opportunities and implement scalable data-driven solutions that accelerate business growth.

Key Responsibilities:

  • Collaborative Problem Solving: Work closely with stakeholders to identify business problems, formulate hypotheses, and scope data science projects with measurable ROI.

  • Analytics & Business Insights: Analyze large-scale datasets to extract insights that influence product development, marketing campaigns, customer segmentation, and strategic planning.

  • Experimentation & Testing: Design and evaluate A/B tests and multivariate experiments to measure the impact of new features and marketing initiatives.

  • Predictive Modeling: Develop and deploy machine learning models and statistical algorithms to support personalization, targeting, and optimization strategies.

  • Data Visualization & Storytelling: Create intuitive dashboards and reports to track performance metrics and effectively communicate findings to technical and non-technical stakeholders.

  • Data Infrastructure & Quality: Partner with data engineering teams to improve data pipelines, define tracking requirements, and ensure high data integrity.

  • Best Practices & Standards: Promote reproducibility, rigorous testing, and high code quality across the data science organization.

Qualifications:

  • 5 7 years of experience in data science, analytics, or quantitative roles within tech, fintech, SaaS, or digital marketing domains.

  • Proficient in SQL and Python with experience using libraries such as pandas, scikit-learn, statsmodels.

  • Strong statistical background, including A/B testing, causal inference, regression, and uplift modeling.

  • Experience with marketing analytics, funnel optimization, or growth experimentation is a plus.

  • Skilled in data visualization using Tableau, Looker, or similar tools.

  • Proven ability to communicate technical results to executive and non-technical audiences.

  • Bachelor's degree in a quantitative field required; Master's or Ph.D. in Data Science, Statistics, Computer Science, Economics, or related discipline preferred.

  • Comfortable working in cross-functional, matrixed environments.


data science, senior data scientist, product analytics, marketing analytics, A/B testing, SQL, Python, machine learning, data visualization, predictive modeling, business insights, growth marketing, causal inference, SaaS, fintech, customer segmentation, uplift modeling, funnel optimization, dashboarding, experimentation, data storytelling, pandas, scikit-learn, Tableau, Looker, digital marketing, quantitative analysis, remote data science job

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