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Entry Level Data Analyst Sociology Jobs (NOW HIRING)

Thorlabs

Data Analyst I

Newton, NJ · On-site

$72K - $94K/yr

Collect, clean, and analyze large datasets from various sources to identify patterns, trends, and ... * Entry level to 1 year experience with data visualization best practices and the ability to ...

Collabera

Data Analyst

Salt Lake City, UT · Hybrid

Recommended Experience Entry-level position into Business Analysis functional domain. May have prior experience as a Programmer and/or Service Delivery Engineer within a technical delivery/support ...

Iatinsurancegroup

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

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How much do entry level data analyst sociology jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for entry level data analyst sociology in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Analyst Sociology vs Entry Level Market Research Analyst?

AspectEntry Level Data Analyst SociologyEntry Level Market Research Analyst
Required CredentialsBachelor's in Sociology, Data Analysis skillsBachelor's in Marketing, Business, or related field
Work EnvironmentResearch institutions, NGOs, government agenciesMarket research firms, advertising agencies, corporations
Employer & Industry UsageSocial sciences, policy analysis, academiaConsumer insights, product development, marketing
Common Search & ComparisonYesYes

Entry Level Data Analyst Sociology focuses on analyzing social data and understanding societal trends, often within academic or policy settings. Entry Level Market Research Analysts primarily gather consumer data to inform marketing strategies. While both roles involve data analysis, their industries, focus areas, and typical employers differ, making this comparison useful for job seekers exploring related entry-level positions.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree or certification, can improve your chances. Gaining practical experience through internships, projects, or online courses can also help you qualify for these roles.

Can I be an entry level data analyst sociology with a sociology degree?

An entry-level data analyst in sociology can often be pursued with a sociology degree, as it provides a strong foundation in research methods, social theory, and data interpretation. Developing skills in statistical software like SPSS, R, or Excel and gaining experience with data visualization can enhance job prospects. Certifications in data analysis or related tools may also improve employability at this level.
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Entry Level Data Analyst Sociology jobs near you
Infographic showing various Entry Level Data Analyst Sociology job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Data Analyst, Revenue Analytics

Global Medical Response

Lewisville, TX • On-site

$75K - $78K/yr

Full-time

Posted 3 days ago

New

Global Medical Response rating

6.4

Company rating: 6.4 out of 10

Based on 59 frontline employees who took The Breakroom Quiz

644th of 891 rated healthcare providers

Job description


Data Analyst, Revenue Analytics
Annual Compensation: $75,000 - $78,000 DOE
Location: GMR HQ in Lewisville, TX (Hybrid)
Why Choose GMR? Global Medical Response (GMR) and its family of solutions are dedicated to delivering compassionate, quality medical care, primarily in the areas of emergency and patient relocation services. Here you'll embark on meaningful work that will make an impact on you and the customers we serve. View the stories on how our employees provide care to the world at www.AtaMomentsNotice.com.
GMR's Core Behaviors-keep care at the center, raise your hand, seek to understand, find a way together and be accountable-unite our teams and set us apart in emergency medical services.
Overview/Position Summary:
The Data Analyst, Revenue Analytics will support business-case and technical requirements of the Revenue Analytics department by capturing business requirements, developing ad-hoc queries/procedures, and constructing data models to build reports and dashboards. This position will compile data relating to revenue cycle, accounting and finance operations, weekly operational dashboards, cash flow, strategic pricing, and profitability. This position will be capable of translating end-user requirements into a structured, logical data sourcing plan and developing business-friendly reports, analyses, and impact models. This position will work directly with source database queries, schemas, and routine stored procedures across multiple platforms, including patient accounting systems, clinical systems, and data warehouses while utilizing SSMS, T-SQL, MS Excel, Power BI, and MS PowerPoint. Finally, this position will perform all duties and responsibilities in a manner consistent with GMR's mission, values, and professional standards.
Essential Duties
  • Extract, aggregate, and organize data from SQL databases that house revenue cycle data from separate front-end billing applications.
  • Routinely evaluate data for accuracy and ensure reporting integrity. Troubleshoot irregular data issues (e.g., Correct non-conforming data relationships or unmapped new data elements).
  • Gather business and technical requirements from revenue cycle leadership and translate requests into functional operational reports and dashboards using Power BI and Excel.
  • Provide analytical support through advanced data compilation and predictive modeling for revenue operations, finance, and accounting.
  • Process EOM reporting package for operational leadership teams.
  • Generate routine and ad-hoc queries/analysis as requested.
  • Create SOPs and process flow diagrams as required.
  • Monitor daily ETL results to ensure source data is loaded in an accurate and timely manner. Troubleshoot and resolve issues, as necessary.
  • Maintain, repair, and optimize SSIS/SSRS packages, SQL stored procedures and all other related processes as assigned.
  • Assist with development and maintenance of data dictionaries, business glossaries, and documentation of data flows/lineage.
  • Utilize Excel Master Data Services (MDS) and other similar tools to correct mapping errors, remedy duplicates, input missing information, and otherwise ensure consistency and completeness of data related to Payors, Bases/Base Codes, Denial Codes, and the like.
  • Travel on occasion to revenue cycle operations center in West Plains, MO to interact with management team.

Qualifications/Additional Skills:
  • Ability to design and implement discussion-ready, Excel-based dashboards.
  • Intermediate level of knowledge and experience with sourcing datasets from SQL and a general understanding of data structures and relational schemas.
  • Basic understanding of Star Schema data model design as it relates to data warehouse and relational database interactions.
  • Microsoft SQL (SSMS) - Adept knowledge in writing basic to complex T-SQL queries, stored procedures, and views to retrieve data from relational databases or a data warehouse.
  • Microsoft SQL (SSRS) - Familiarity with MS Visual Studio and knowledge of SSRS package creation, file generation and transmission, and addition of error handlers to assist with troubleshooting.
  • Databricks - Entry level knowledge of the Databricks Platform/Lakehouse and its integration with Microsoft SQL to facilitate data transfer and data warehousing, and data management.
  • AI Tools - Entry level knowledge of appropriate, ethical, and responsible usage of AI Tools such as MS Copilot and the like to solve everyday business problems.
  • Experience in data aggregation, normalization, and data modeling from multiple sources.
  • Strong quantitative/analytical skills; strong innovation, problem solving, and conceptual thinking abilities.
  • Ability to solve ambiguous problems and suggest practical ways to solve them.
  • A working knowledge of the healthcare industry, insurance billing and third-party reimbursement is strongly preferred.

Minimum Requirements:
  • Bachelor's degree in business, Computer Science, Healthcare Management, or related field from an accredited college or university.
  • 3-5 years of experience working in a business intelligence (BI) related position. Healthcare revenue cycle experience preferred but not required.
  • Strong experience developing business-friendly decision models that source multiple data sources, formula-based measure creation, and ties aggregations to detailed data.
  • 1-2 years of experience writing T-SQL queries in SQL Server Management Studio (SSMS).
  • Proficient with MS Excel, specifically including creation and dynamic use of Pivot Tables and formulaic metrics to analyze data and produce reports.
  • Entry level knowledge of MS Power BI application and its basic functions.

The application window for this position is anticipated to close on 7/31/26.
Learn how our values are at the core of our services and vital to how we approach care and check out our comprehensive benefit options at GlobalMedicalResponse.com/Careers.
EEO Statement
Global Medical Response and its family of companies are an Equal Opportunity Employer, which includes supporting veterans and providing reasonable accommodations for individuals with a disability.
More Information about this Job
Check out our careers site benefits page to learn more about our benefit options.

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About Global Medical Response

Sourced by ZipRecruiter

Our mission of providing care to the world at a moment's notice is at the heart of everything we do. We are caregivers, first and foremost and we will be there when you need us. With more than 38,000 employees, Global Medical Response teams deliver compassionate, quality medical care, primarily in the areas of emergency and patient relocation services around the world. We provide end-to-end medical transportation as well as fire services, integrated health-care solutions and disaster response.

Industry

Health care and social assistance

Company size

51 - 200 Employees

Headquarters location

Greenwood Village, CO, US

Year founded

2018

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