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Stata Remote Jobs (NOW HIRING)

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Stata, multilevel modeling, decomposition analysis, and/or semi-structured interviews. Key ...

MELE Associates

Data Evaluator/Analyst

Washington, DC · On-site +1

$100/hr

Data visualization and dashboarding using R, Python, Stata, or SAS to communicate evaluation ... Benefits MELE Offers · Hybrid remote/office work environment. · Employer-paid employee Medical ...

Prosperity Now

Director of Applied Research & Policy

$112K - $163K/yr

Experience with large public datasets and STATA, R, Python, or equivalent. * Experience supervising ... This job operates in a professional office environment and is 100% remote. 10% travel may be ...

LMI

Data Scientist

$90K - $150K/yr

Experience working with STATA. * Experience applying statistical methods (time series analysis ... Remote

Urban Institute

We welcome hybrid and remote applicants. What You' ll Do: * Conceptualize, develop, and lead or co ... Stata, R, SAS, NVivo) and/or other accepted practices in data analysis, along with emerging AI ...

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How much do stata remote jobs pay per year?

As of Sep 2, 2026, the average yearly pay for stata remote in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What is a Stata Remote?

A Stata Remote job is a role that involves using Stata, a statistical software, to analyze data, create models, and generate reports while working remotely. These jobs are common in industries such as economics, public health, and social sciences. Responsibilities may include cleaning datasets, running regressions, and interpreting statistical results. Employers hiring for this role typically look for proficiency in Stata, experience in data analysis, and strong problem-solving skills. Remote work allows professionals to collaborate with teams worldwide while maintaining flexibility in their schedules.

What skills and qualifications are needed for a Stata Remote?

To thrive as a Stata Remote analyst, you need a solid background in statistics, data analysis, and experience using the Stata software, typically supported by a degree in statistics, economics, social sciences, or a related field. Familiarity with advanced Stata functions, data management tools, and possibly certifications in statistical analysis or econometrics are highly valuable. Strong attention to detail, time management, and effective written communication are essential soft skills, as most collaboration will occur virtually. These capabilities ensure high-quality, reliable analysis and seamless coordination on remote projects.

What are common challenges faced by remote Stata analysts, and how can they be addressed?

Remote Stata analysts often face challenges such as limited direct access to teammates, potential data security concerns, and managing project timelines independently. To overcome these, it's important to establish clear communication routines, utilize secure file-sharing platforms, and maintain careful documentation of workflows. Staying disciplined with regular progress updates and proactively seeking clarification on project goals helps ensure successful collaboration. Many employers also offer regular virtual check-ins and encourage participation in team meetings to help remote analysts stay connected and engaged.

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Stata Remote jobs near you
Infographic showing various Stata Remote job openings in the United States as of August 2026, with employment types broken down into 2% Internship, 2% As Needed, 52% Full Time, 40% Part Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.

Sr. Decision Scientist - Marketing and Enrollment Management

Excelsior College

Albany, NY • On-site, Remote

$85K - $95K/yr

Full-time

Re-posted 23 days ago

Job description

Join a team that transforms data into decisions. We use advanced analytics, AI, and experimentation to unlock opportunity, drive growth, and shape strategy across a mission-driven university.

Excelsior University is seeking a Decision Scientist who will leverage data science to drive strategic initiatives, improve operational efficiency, and achieve institutional goals. Reporting to the Director of Analytics, the decision scientist will collaborate closely with business partners in Marketing, Admissions, Advising, Student Financial Services, and the Office of the Registrar. The role will be responsible for using machine learning, predictive modeling, experimental design, and other analytical techniques to inform strategic decisions and identify opportunities for efficiency and growth. This role gives you the opportunity to lead innovative projects and support Excelsior’s mission of serving adult learners, with an emphasis on those historically underrepresented in higher education.

We believe work should fit your life, not the other way around. While it is preferred that team members be located in Albany, New York, or a nearby area, remote work options will be considered. Our hybrid schedule has you in the Albany office on Tuesdays and Wednesdays, with the flexibility to work from home on other days. Spend less time commuting and more time focusing on meaningful work or personal priorities. Core hours are 8:30 AM–5:00 PM, including a 1-hour lunch, for a 37.5-hour week. 

Duties and Responsibilities include the following: 

  • Use predictive and prescriptive analytical techniques to enable leadership to make informed decisions
  • Apply demonstrated knowledge of data modeling, business analysis, and statistical analysis to design and evaluate drivers of growth and efficiency.
  • Uses various data analytics tools to clean, manipulate, and transform data for analysis.
  • Support projects and work with university leaders to identify assumptions for analytical tools and models with the goal of using these tools to provide data driven solutions.
  • Communicate with data through written and oral presentations, using data visualization techniques to present findings in a manner that can be easily understood by nontechnical audiences.
  • Promote data stewardship and data quality.

Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Bachelor's degree or higher from an accredited institution in a business analytics, statistics, economics, data science, or relevant quantitative or empirical research field.
  • Three or more years of relevant experience, though education may be used along with experience.
  • Master's or Ph.D. from an accredited institution in a business analytics, statistics, economics, data science, or relevant quantitative or empirical research field strongly preferred.
  • Higher education experience is highly preferred.
  • Demonstrated knowledge and application of data analysis and statistical modeling, preferably in an academic or educational setting.
  • Proficiency in programming languages such as Python or R, or willingness to learn combined with knowledge of other code-based programming languages such as MatLab, Stata, etc.
  • Understanding of database systems and data manipulation techniques.
  • Strong interpersonal and communication skills, with the ability to convey complex analytical concepts to non-technical stakeholders.
  • Ability to work collaboratively and effectively with academic and business leaders.
  • Strong problem-solving skills and a proactive approach to identifying opportunities for improvement.
  • Strong attention to detail, thoroughness, and follow through.
  • Ability to work independently and meet deadlines.
  • Ability to prioritize and manage multiple tasks. 

The hiring salary range for this position is $85,000.00 - $95,000.00. The hiring salary range above represents the University's good faith estimate at the time of posting

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