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Entry Level Data Analyst Jobs in Pilot Point, TX

Accenture

Data Protection, A/SA-Evergreen

Dallas, TX

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Accenture

Data Protection, A/SA-Evergreen

Irving, TX · On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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Entry Level Data Analyst information

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

As of Aug 25, 2026, the average hourly pay for entry level data analyst in Pilot Point, TX is $31.28, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $34.95 per hour, depending on experience, location, and employer.

What does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What are the key skills and qualifications needed to thrive as an entry level data analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

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What are the most commonly searched types of Data Analyst jobs in Pilot Point, TX?

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What cities near Pilot Point, TX are hiring for Entry Level Data Analyst jobs?

Cities near Pilot Point, TX with the most Entry Level Data Analyst job openings:

Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Pilot Point, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $65,053 per year, or $31.3 per hour.

Data Analyst, Revenue Analytics

Lewisville, TX • On-site

Global Medical Response
Health Care and Social Assistance • 51 - 200 employees

6.4

Company rating: 6.4 out of 10

Based on 59 frontline employees who took The Breakroom Quiz

645th of 893 rated healthcare providers

People enjoy working here

Recommended by students

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Learn more about Global Medical Responseexternal

$75K - $78K/yr

Full-time

Posted 7 days ago

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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