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Remote Social Science Analyst Jobs (NOW HIRING)

We are a Remote First organization with a strong commitment to excellence, innovation, and customer ... As a Virtual Social Science Teacher , you bring your classroom to life through a screen: connecting ...

$19 - $26/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... AND POSITION REQUIREMENTS The Social Science Research Institute is seeking candidates for Part-Time ...

Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics ... Social Science; or Master's degree or equivalent graduate degree including certificate-based ...

... analytical solutions This position offers the opportunity to work fully remote within the United ... Engineering, Social Science, or Statistics) * Must have two (2+) years of experience with ...

... analytical solutions This position offers the opportunity to work fully remote within the United ... Engineering, Social Science, or Statistics) * Must have two (2+) years of experience with ...

This role applies advanced analytics and research methods to help improve the short- and long-term ... Minimum Requirements: -Master's degree in quantitative science, social science, or a related ...

... analytical solutions This position offers the opportunity to work fully remote within the United ... Engineering, Social Science, or Statistics) * Must have two (2+) years of experience with ...

PREVENTION ANALYST

Charleston, SC · On-site

$89K - $116K/yr

Leads integrated prevention data collection, analysis, and presentation through regular updates to ... A Master's degree or higher in a behavioral, social science, or related discipline appropriate to ...

Showing results 41-60

Remote Social Science Analyst information

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$47.5K

$74.9K

$139K

How much do remote social science analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote social science analyst in the United States is $74,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $94,000.00 per year, depending on experience, location, and employer.

What is a remote social science analyst?

A Remote Social Science Analyst is a professional who conducts research, collects and analyzes data, and interprets findings on human behavior and societal trends, all while working from a remote location. They use various methods such as surveys, interviews, and statistical analysis to study topics like public policy, economics, and social issues. These analysts often work for government agencies, research institutions, or private organizations, providing insights that help inform decisions and policies. Remote work allows them to collaborate with teams and access data virtually, making the role flexible and accessible from anywhere.

What are the key skills and qualifications needed to thrive as a remote social science analyst?

To thrive as a Remote Social Science Analyst, you need a strong background in research methods, data analysis, and a relevant degree in social sciences or a related field. Expertise in statistical software (such as SPSS, R, or Stata), survey platforms, and data visualization tools is typically required. Exceptional written communication, critical thinking, and self-motivation are standout soft skills for remote work and effective collaboration. These skills and qualities are essential for producing accurate, insightful analyses and contributing to evidence-based decision-making from a remote environment.

How do remote social science analysts typically collaborate with colleagues and stakeholders while working offsite?

Remote Social Science Analysts regularly use digital collaboration tools such as video conferencing, shared documents, and project management platforms to stay connected with team members and stakeholders. They often participate in virtual meetings to discuss research findings, coordinate tasks, and provide updates on ongoing projects. Effective communication skills and self-motivation are crucial, as analysts must proactively seek feedback and ensure alignment with broader research goals despite not being physically present. This structure allows for flexibility, but also requires strong organizational habits to manage multiple deadlines and maintain high-quality outcomes.

What is the difference between Remote Social Science Analyst vs Remote Market Research Analyst?

AspectRemote Social Science AnalystRemote Market Research Analyst
Required CredentialsBachelor's in social sciences, research skillsBachelor's in marketing, research methods
Work EnvironmentResearch institutions, government agencies, NGOsCorporations, marketing firms, consulting agencies
Employer & Industry UsageUsed in social sciences, policy analysis, academiaUsed in marketing, consumer insights, product development
Search & Comparison IntentUnderstanding social science research rolesComparing research roles in marketing

The Remote Social Science Analyst and Remote Market Research Analyst roles share similarities in research skills and work environments but differ in industry focus. Social Science Analysts typically work in academia, government, or NGOs analyzing social issues, while Market Research Analysts focus on consumer data and marketing strategies. Both roles require research expertise but serve distinct sectors and objectives.

More about Remote Social Science Analyst jobs

What cities are hiring for Remote Social Science Analyst jobs?

Cities with the most Remote Social Science Analyst job openings:

What are the most commonly searched types of Social Science Analyst jobs?

The most popular types of Social Science Analyst jobs are:

What states have the most Remote Social Science Analyst jobs?

States with the most job openings for Remote Social Science Analyst jobs include:

What job categories do people searching Remote Social Science Analyst jobs look for?

The top searched job categories for Remote Social Science Analyst jobs are:

Infographic showing various Remote Social Science Analyst job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $74,903 per year, or $36 per hour.

Decision Science Analyst Senior - Life Company Data and Analytics - Paid Media Performance Analys...

USAA

San Antonio, TX • On-site, Remote

$77K - $97K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


USAA rating

8.2

Company rating: 8.2 out of 10

Based on 265 frontline employees who took The Breakroom Quiz

52nd of 174 rated banks


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

USAA is looking for an experienced Decision Science Analyst Senior to join the Life Company Data and Analytics team. USAA Life Company is looking to build on its foundation of exceptional service to grow and serve more members. This role will play a critical part in that growth by delivering actionable insights and optimization recommendations across Paid Social, Paid Search, and emerging AI-powered search experiences. The ideal candidate combines strong SQL and Python skills with hands-on experience analyzing paid media performance, audience segmentation, and conducting incrementality testing that improve engagement and acquisition. This individual will leverage advanced analytics, data visualization, and storytelling to connect marketing investments to business outcomes while partnering closely with the channel managers, product marketers, and campaign analysts to drive measurable growth.

This role provides decision support for business areas across the association. This will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position will be based on the San Antonio, TX; Charlotte, NC; or Plano, TX. campus. Relocation assistance is not available for this position.


What you'll do:

  • Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.

  • Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.

  • Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.

  • Translates recommendation into communication materials to effectively present to various levels of management.

  • Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.

  • Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).

  • Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.

  • Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.

  • Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.

  • Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.

  • Provides subject matter expertise in operationalizing recommendations.

  • Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data).

  • Identifies opportunities to continue to learn in the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (e.g. Certifications or advanced coursework).

  • Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field OR 4 years of relevant education and/or experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. (Total of 10 years of experience without bachelor's degree)

  • 6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e. Life Insurance, Marketing etc.) for a total of 6 years combined experience OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. Life Insurance, Marketing, etc.).

  • Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.

  • Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.

  • Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

What sets you apart:

  • US military experience through military service or a military spouse/domestic partner.

  • 5+ years of experienceusing SQL and Python to analyze data, develop insights, and support marketing decision-making.

  • 3+ years of experienceoptimizing paid social campaigns through audience targeting, bidding strategies, budget management, retargeting, and performance analysis.

  • 3+ years of experienceoptimizing paid search campaigns through keyword strategy, query analysis, bidding, and customer acquisition performance measurement.

  • Knowledge of AI-powered search and Answer Engine Optimization (AEO), including emerging search behaviors and opportunities to improve brand visibility and consumer intent capture.

  • Experience with audience segmentation, creative testing, and influencer/creator performance analysis, translating insights into actionable recommendations.

  • Experience with experimentation and measurement, including A/B testing, incrementality studies, and control vs. test frameworks to evaluate marketing effectiveness.

  • Strong analytics, data visualization, and storytelling skills, with the ability to connect paid media performance to website engagement and conversion outcomes. Familiarity with Meta Ads Manager, Adobe Analytics, Google Ads, Bing Ads, SA360, Floodlight tags, and attribution tools.

Compensation range: The salary range for this position is: $114,080 - $218,030

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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