Data Analyst, Pharmaceutical Industry Job Details : 90%remote position forUS FT Perm W2 employee Travel Requirements: up to 10% domestic travel each year forcompany events and socials Time Zone ...
Data Analyst, Pharmaceutical Industry Job Details : 90%remote position forUS FT Perm W2 employee Travel Requirements: up to 10% domestic travel each year forcompany events and socials Time Zone ...
Most of our positions are remote, providing flexibility while contributing to meaningful federal projects. Key Skills amp; Qualifications We're Looking For: * Data Analysis amp; Reporting: Experience ...
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Remote Volunteer Data Analyst information
See salary details
$34K - $43.3K
4% of jobs
$43.3K - $52.5K
7% of jobs
$52.5K - $61.8K
13% of jobs
$62.4K is the 25th percentile. Wages below this are outliers.
$61.8K - $71.1K
18% of jobs
The median wage is $75.4K / yr.
$71.1K - $80.4K
16% of jobs
$80.4K - $89.6K
13% of jobs
$93.1K is the 75th percentile. Wages above this are outliers.
$89.6K - $98.9K
9% of jobs
$98.9K - $108.2K
5% of jobs
$108.2K - $117.5K
9% of jobs
$117.5K - $126.7K
3% of jobs
$126.7K - $136K
2% of jobs
$34K
$82.6K
$136K
How much do remote volunteer data analyst jobs pay per year?
What are the key skills and qualifications needed to thrive in the Remote Volunteer Data Analyst position, and why are they important?
A Remote Volunteer Data Analyst should possess strong analytical skills, proficiency in statistical methods, and a solid understanding of data management principles, often backed by a degree in statistics, mathematics, or a related field. Familiarity with data analysis tools such as Excel, SQL, Python, or R, and experience with visualization platforms like Tableau are typically beneficial, although formal certifications can be an advantage. Effective communication, attention to detail, and self-motivation are important soft skills for excelling in a remote and volunteer-driven environment. These skills and qualities ensure accurate data interpretation, clear reporting, and efficient collaboration with distributed teams, enabling the organization to make informed decisions.
What is a Remote Volunteer Data Analyst job?
A Remote Volunteer Data Analyst collects, processes, and analyzes data to support an organization's mission, all while working remotely. They use statistical tools, data visualization, and reporting techniques to provide insights that help decision-making. This role is typically unpaid and suited for individuals looking to gain experience, contribute to meaningful causes, or apply their skills in a flexible, virtual setting.
What are the typical responsibilities of a Remote Volunteer Data Analyst?
As a Remote Volunteer Data Analyst, your responsibilities typically include gathering, cleaning, and organizing datasets, conducting statistical analyses, and generating insights or reports to support organizational goals. You may also be involved in creating data visualizations, identifying trends, and presenting findings to both technical and non-technical stakeholders via virtual meetings or written summaries. Collaboration is usually carried out online with other volunteers, project managers, or staff members, requiring effective communication and teamwork. These activities help nonprofits or other organizations leverage data-driven decision-making, even with limited in-person interaction.

Job description
Job Details: 90%remote position forUS FT Perm W2 employee
Travel Requirements: up to 10% domestic travel each year forcompany events and socials
Time Zone Preference: USEast Coast
Role Purpose:
The Data Analyst supports pharmaceutical brand, commercial (marketing), and analytics teams by playing a critical technical role connecting healthcare data to media to drive clear, actionable insights. This role requires strong technical analytics skills, rigorous statistical thinking, and the ability to communicate findings in a simple, compelling way to both technical and non-technical stakeholders within the company. The ideal candidate is articulate, collaborative, detail-oriented, and comfortable working with imperfect data and complex data structures to enable advanced analysis, including AI and machine learning applications.
Core Responsibilities:
- Perform extensive SQL-based data transformations, integrating data from multiple internal and external sources (e.g., claims, media, CRM, EHR-derived datasets).
- Define, validate, and govern metrics aligned to pharmaceutical business questions (e.g., brand performance, HCP engagement, patient journeys).
- Apply statistical reasoning to analyze trends, identify drivers of performance, and ensure analytical rigor in insights and recommendations.
- Maintain and iterate on analytical datasets and workflows as new data is ingested.
- Conduct thorough exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities within complex healthcare datasets.
- Interpret and translate analytical findings into clear business insights, tailored for stakeholders across marketing, analytics, strategy, and leadership teams.
- Manually scrub, structure, and normalize data as needed to ensure data quality and analytical readiness, particularly for deep-dive analyses.
- Prepare datasets to support advanced analytics, including exploratory and explanatory machine learning techniques, ensuring accuracy, consistency, and scalability.
- Develop data visualizations and dashboards that clearly communicate insights and support decision-making.
- Collaborate cross-functionally with data science, technology, media, strategy, and client-facing teams to align analyses with business needs.
- Document methodologies, assumptions, and data limitations to support transparency and reproducibility.
Cross-functional Interfaces:
- Strategic Solutions
- Pinnacle Task Force
- Data
Success Indicators (What good looks like):
- Bachelor's degree in Analytics, Statistics, Mathematics, Data Science, Economics, or a related field.
- Experience working with cloud data warehouses (e.g., Big Query).
- Strong proficiency in SQL, including complex joins, transformations, and performance optimization.
- Solid foundation in statistics and analytical reasoning (e.g., trend analysis, hypothesis testing, segmentation).
- Demonstrated experience with exploratory data analysis and working with large, complex datasets.
- Ability to simplify complex data and insights for diverse audiences.
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker, or similar).
- Proven ability to work collaboratively in cross-functional teams.
Preferred Qualifications
- Experience working with pharmaceutical commercial or media data (e.g., claims, prescription, media, CRM, hub data).
- Familiarity with AI/ML concepts and data preparation requirements for modeling.
- Experience using Python or R for analytics and data manipulation.
- Understanding of pharma compliance, privacy, and data governance considerations.
- Experience working in a remote setting, collaborating cross-functionally with individuals across teams and in different time zones.
Key Competencies
- Analytical rigor and attention to detail
- Business-oriented problem solving
- Clear and concise communication
- Comfort working with ambiguous or imperfect data
- Curiosity and continuous learning mindset
- Collaboration and teamwork
Interested?
Apply by submitting your resume and a brief note outlining your healthcare or media experience.
Underscore Marketing is a woman-owned, independent agency specializing in life sciences. Since 2002, we've helped clients gain a competitive edge through bold, data-driven promotional strategies that deliver measurable results.
Our team comprises media, strategy, and omnichannel analytics experts who thrive on collaboration, innovation, and results. When you join Underscore, you become part of a dynamic environment where your ideas matter, your growth is supported, and your work helps elevate brands in a competitive healthcare landscape.
If you're passionate about making a difference and want to be part of a team that values integrity, creativity, and results, if that sounds like you, we invite you to share.
Equal Employment Opportunity Statement
Underscore is committed to creating a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other protected characteristic under applicable law. We believe that diversity drives innovation and success, and we welcome candidates from all backgrounds to apply.
About Underscore Marketing
Sourced by ZipRecruiter
Industry
Marketing
Company size
11 - 50 Employees
Headquarters location
New York, NY, US
Year founded
2002