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Remote Entry Level Analytics Engineer Jobs in Texas

Resource Innovations

Energy Engineer

Dallas, TX · On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

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Remote Entry Level Analytics Engineer information

What are some common challenges faced by remote entry level analytics engineers, and how can they be addressed?

Remote entry level analytics engineers often face challenges such as learning new data tools independently, managing time across multiple projects, and staying connected with their team. To address these, it's helpful to proactively seek mentorship, participate in regular virtual meetings, and use collaboration platforms to communicate frequently. Establishing a structured daily routine and leveraging online resources can also aid in skill development and task management.

What is a remote entry level analytics engineer?

A Remote Entry Level Analytics Engineer is a professional who works from a remote location to help organizations collect, organize, and analyze data. They typically assist in building and maintaining data pipelines, transforming raw data into usable formats, and ensuring data quality for reporting and analytics. Entry level positions are designed for those who are new to the field and may have recently completed relevant education or training. These roles often involve learning on the job, collaborating with data scientists and engineers, and using tools like SQL, Python, and data warehousing platforms. Remote roles offer flexibility to work from anywhere while contributing to data-driven decision-making.

What is the difference between Remote Entry Level Analytics Engineer vs Remote Data Analyst?

AspectRemote Entry Level Analytics EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic knowledge of SQL, Python, or RBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, project-based tasks, technical focusData interpretation, reporting, business insights
Employer & Industry UsageTech companies, startups, finance, healthcareMarketing firms, consulting, finance, retail

While both roles involve working with data, Remote Entry Level Analytics Engineers focus on building data pipelines and models, whereas Remote Data Analysts primarily interpret data and generate reports. The roles often overlap in skills like SQL and basic programming, but differ in technical depth and focus areas.

What are the key skills and qualifications needed to thrive as a remote entry level analytics engineer?

To thrive as a Remote Entry Level Analytics Engineer, you need a solid understanding of data analysis, SQL, and basic programming skills, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data warehousing tools (such as Snowflake or BigQuery), version control systems like Git, and analytics platforms like dbt is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication are crucial soft skills for success in this role. These skills ensure accurate data modeling, effective collaboration across distributed teams, and the delivery of actionable business insights.
What are the most commonly searched types of Remote Analytics Engineer jobs in Texas? The most popular types of Remote Analytics Engineer jobs in Texas are:
What are popular job titles related to Remote Entry Level Analytics Engineer jobs in Texas? For Remote Entry Level Analytics Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Analytics Engineer jobs in Texas look for? The top searched job categories for Remote Entry Level Analytics Engineer jobs in Texas are:
Remote Entry Level Analytics Engineer jobs near you
Infographic showing various Remote Entry Level Analytics Engineer job openings in Texas as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution.

EPIC Analytics and Reporting Engineer- Project- Senior Consultant

Deloitte

Austin, TX • On-site, Remote

$98K - $127K/yr

Other

Re-posted 11 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

 
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Epic Analytics and Reporting Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals 
 
 
Work you'll Do
 
As an Analytics and Reporting Engineer you will be certified in Epic Clarity, Caboodle and either in EPIC Clinical Data Model or Revenue Data Model modules with ability to design, develop, and maintain extracts and reports within a hospital's Epic Access, has working experience in Nova notes and Epic upgrades in either Clinical Data Model or Revenue Data Model system and various healthcare information systems. Work on error handling in Epic. Experience in new Report builds like Reporting workbench, Slicer/Dicer and RADAR. Good to have experience in Azure DevOps.
 
  • Will be responsible for designing, developing, and maintaining extracts and reports within a hospital's Epic system and various healthcare information systems
  • Work on new Report builds like Reporting workbench, Slicer/Dicer and RADAR
  • Work on Epic upgrades and Nova Notes
  • This role will require to work on error handling in Epic including creating/modifications of error queues and using support utilities in Epic
  • This resource needs to work on content management activities
  • Excellent documentation skills such as - Application understanding, change management etc.
  • This resource needs to work with business stakeholders and IT team to troubleshoot Epic report issues and problems related to break-fixes and other support activities
  • Resolve issues or incidents reported by end users and escalate any quality issues or risks with team leads/scrum masters/project leaders
  • This resource will also work with end-users to help communicate enhancements/improvements needed for business processes
  • This role provides outstanding client service and contributes to the organization's mission of utilizing information technology to improve patient care
  • Experience with healthcare domains and concepts 
  • Understanding of Agile methodologies
  • Experience with Business concepts, processes, information, and data
  • Exceptional problem-solving skills
  • Excellent written and verbal communication skills
 
 
The Team 
 
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
 
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
 

Qualifications
Required
  • Bachelor's degree, preferably in Computer Science, Information Technology,  Computer Engineering, or related IT discipline; or equivalent experience
  • Up to date EPIC Certified in Clarity, Caboodle and in either Epic Clinical Data Model or Revenue Data Model modules
  • 3-6 years of recent experience in Epic analytics and reporting enhancements, break-fixes and support activities
  • Experience with US healthcare reporting data models
  • Remote work with the ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. Also, provide on-call support on a rotating basis.
 
 Preferred
  • Experience in new Report builds, Modifications and analysis on existing reports 
  • Good to have experience in data visualization tools like Tableau, Power BI, QlikSense or any other reporting tool
  • Familiarity with HIPAA and other regulations that impact hospitals and clinics preferred
  • Can operate independently or with minimum supervision
  • Excellent written and communication skills
 
 
 
 
 
 
 
 
Qualifications:
 
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Epic Analytics and Reporting Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals 
 
 
Work you'll Do
 
As an Analytics and Reporting Engineer you will be certified in Epic Clarity, Caboodle and either in EPIC Clinical Data Model or Revenue Data Model modules with ability to design, develop, and maintain extracts and reports within a hospital's Epic Access, has working experience in Nova notes and Epic upgrades in either Clinical Data Model or Revenue Data Model system and various healthcare information systems. Work on error handling in Epic. Experience in new Report builds like Reporting workbench, Slicer/Dicer and RADAR. Good to have experience in Azure DevOps.
 
  • Will be responsible for designing, developing, and maintaining extracts and reports within a hospital's Epic system and various healthcare information systems
  • Work on new Report builds like Reporting workbench, Slicer/Dicer and RADAR
  • Work on Epic upgrades and Nova Notes
  • This role will require to work on error handling in Epic including creating/modifications of error queues and using support utilities in Epic
  • This resource needs to work on content management activities
  • Excellent documentation skills such as - Application understanding, change management etc.
  • This resource needs to work with business stakeholders and IT team to troubleshoot Epic report issues and problems related to break-fixes and other support activities
  • Resolve issues or incidents reported by end users and escalate any quality issues or risks with team leads/scrum masters/project leaders
  • This resource will also work with end-users to help communicate enhancements/improvements needed for business processes
  • This role provides outstanding client service and contributes to the organization's mission of utilizing information technology to improve patient care
  • Experience with healthcare domains and concepts 
  • Understanding of Agile methodologies
  • Experience with Business concepts, processes, information, and data
  • Exceptional problem-solving skills
  • Excellent written and verbal communication skills
 
 
The Team 
 
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
 
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
 

Qualifications
Required
  • Bachelor's degree, preferably in Computer Science, Information Technology,  Computer Engineering, or related IT discipline; or equivalent experience
  • Up to date EPIC Certified in Clarity, Caboodle and in either Epic Clinical Data Model or Revenue Data Model modules
  • 3-6 years of recent experience in Epic analytics and reporting enhancements, break-fixes and support activities
  • Experience with US healthcare reporting data models
  • Remote work with the ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. Also, provide on-call support on a rotating basis.
 
 Preferred
  • Experience in new Report builds, Modifications and analysis on existing reports 
  • Good to have experience in data visualization tools like Tableau, Power BI, QlikSense or any other reporting tool
  • Familiarity with HIPAA and other regulations that impact hospitals and clinics preferred
  • Can operate independently or with minimum supervision
  • Excellent written and communication skills
 
 
 
 
 
 
 
 
Education:Bachelor's DegreeEmployment Type:

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