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Remote Social Work Data Analyst Jobs (NOW HIRING)

Data Analyst, Pharmaceutical Industry Job Details : 90%remote position forUS FT Perm W2 employee ... Proven ability to work collaboratively in cross-functional teams. Preferred Qualifications

Position Summary The Data Analyst supports the analysis, interpretation, and reporting of ... Remote work permitted only under approved or contingency conditions Compensation Range: The salary ...

Job Title- Data Analyst Strong Tableau Location- Remote Duration- 06 Months Contract Job I'd ... Able to juggle multiple tasks and work with the lead to prioritize work to ensure customer ...

Contract Work Model: Hybrid - onsite and remote Responsibilities • Contribute to the development of technical requirements including data definitions, business rules, and data quality requirements ...

New

Contract Work Model: Hybrid - onsite and remote Responsibilities • Contribute to the development of technical requirements including data definitions, business rules, and data quality requirements ...

New

Data Analyst

New York, NY · Remote

$55 - $60/hr

This is a remote opportunity. About this Position Join a fast-paced Product Operations team focused ... Opportunity to work cross-functionally on high-impact initiatives Pay Range Pay Range: $55-$60/hour ...

Job Title: Data Analyst Location: Remote (non-US-based) Job Summary: MGT is seeking a highly ... MGT is a leading social impact and performance solutions firm that serves state, local, education ...

New

If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID ... Where your work starts and stops: * You own the business analytics layer: maintaining KPI standards ...

Sr. Data Analyst - Remote

Manhattan, NY · On-site +1

$94K - $119K/yr

Details: Sr. Data Analyst Duration: Full time / Direct Hire Location: 100% Remote but candidate must be in below states Will hire remote in CA, CT, FL, GA, IL, MD, NH, NJ, NY, NC, PA, TX, UT, WA, DC ...

Data Analyst

$80K - $100K/yr

We do Consulting Differently We are seeking a Data Analyst to join our Data & Business Solutions ... work in the U.S., without company sponsorship. #LI-Remote About BRG BRG combines world-leading ...

If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID ... Where your work starts and stops: * You own the business analytics layer: maintaining KPI standards ...

$88K - $111K/yr

You will work closely with CX, product, and operations teams to measure performance, identify ... Data Analysis & Insights * Analyze large-scale datasets related to agent performance, support ...

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Remote Social Work Data Analyst information

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$34K

$82.6K

$136K

How much do remote social work data analyst jobs pay per year?

As of Jul 8, 2026, the average yearly pay for remote social work data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a Remote Social Work Data Analyst?

A Remote Social Work Data Analyst is a professional who collects, analyzes, and interprets data related to social work programs and services, while working from a remote location. They use statistical tools and software to evaluate the effectiveness of social programs, identify trends, and help organizations make data-driven decisions to improve outcomes for clients. Their work supports social workers and agencies in measuring the impact of interventions and in securing funding or resources. Remote data analysts collaborate with teams via digital platforms and must ensure data confidentiality and ethical standards are maintained.

What are the key skills and qualifications needed to thrive as a Remote Social Work Data Analyst, and why are they important?

A Remote Social Work Data Analyst requires strong analytical skills, knowledge of social work principles, and a relevant degree such as social work, statistics, or data science. Familiarity with data analysis tools like Excel, SPSS, or Tableau and experience with case management or social services databases are typically expected. Attention to detail, effective communication, and the ability to work independently are standout soft skills for this role. These competencies are essential to accurately interpret data, inform better decision-making, and support impactful social work interventions from a remote setting.

What are some typical challenges faced by Remote Social Work Data Analysts and how can they be addressed?

Remote Social Work Data Analysts often face challenges such as coordinating with multidisciplinary teams across different locations, ensuring data privacy and security, and interpreting complex social work datasets accurately. To address these, it’s important to establish clear communication channels, stay updated on data compliance regulations, and regularly participate in virtual team meetings. Utilizing collaborative data platforms and project management tools can also enhance workflow efficiency and foster team cohesion, even when working remotely.

What is the difference between Remote Social Work Data Analyst vs Remote Social Worker?

AspectRemote Social Work Data AnalystRemote Social Worker
Required CredentialsBachelor's or Master's in Social Work, Data Analysis certificationsBachelor's or Master's in Social Work, State licensure
Work EnvironmentData-focused, analytical tasks, remote settingsClient interaction, counseling, case management, remote or in-person
Employer & IndustryHealthcare, government, research organizationsNonprofits, healthcare, government agencies
Search & Comparison IntentUnderstanding data analysis roles in social workProviding direct client support and services

The main difference is that Remote Social Work Data Analysts focus on analyzing social work data to inform decisions, while Remote Social Workers provide direct client services. Both roles may be remote but serve different functions within the social services industry.

More about Remote Social Work Data Analyst jobs
What cities are hiring for Remote Social Work Data Analyst jobs? Cities with the most Remote Social Work Data Analyst job openings:
What are the most commonly searched types of Social Work Data Analyst jobs? The most popular types of Social Work Data Analyst jobs are:
What states have the most Remote Social Work Data Analyst jobs? States with the most job openings for Remote Social Work Data Analyst jobs include:
Infographic showing various Remote Social Work Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Full-time

Posted 9 days ago


Job description

Job Description: 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 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.