3

Remote Entry Level Analytics Engineer Jobs in Texas

next page

Showing results 1-20

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, and why are they important?

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:
What cities in Texas are hiring for Remote Entry Level Analytics Engineer jobs? Cities in Texas with the most Remote Entry Level Analytics Engineer job openings:
Analytics Engineer II (Epic Cogito, Power BI)

Analytics Engineer II (Epic Cogito, Power BI)

Children's Health

Dallas, TX • Remote

$50.50 - $65.50/hr

Full-time

Medical

Posted 7 days ago


Children's Health rating

7.6

Company rating: 7.6 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

187th of 870 rated healthcare providers


Job description

Job Title & Specialty Area: Analytics Engineer II (Epic Cogito, Power BI)

Department: Childrens Spclty Pharm

Location: Dallas, TX

Shift: 8:00 am to 5:00 pm

Job Type: Remote

Why Children's Health?

At Children's Health, our mission is to Make Life Better for Children, and we recognize that their health plays a crucial role in achieving this goal.

Through our cutting-edge treatments and affiliation with UT Southwestern, we strive to deliver an extraordinary patient and family experience, ensuring that every moment, big or small, contributes to their overall well-being.

Our dedication to promoting children's health extends beyond our organization and encompasses the broader community. Together, we can make a significant difference in the lives of children and contribute to a brighter and healthier future for all.

Summary:
Under the direction of data & analytics engineering leadership, the Analytics Engineer II will own and operationalize analytics artifacts for one or more domains (e.g. pharmacy, pediatrics service line, supply chain), build and maintain metrics stores/semantic layers, improve reuse and performance of data models, and enable domain adoption in a federated model. This role will work closely with operational stakeholders, product team members, and data stewards to ensure successful delivery of analytics products that support business goals. Analytics engineers bridge data engineering and analytics development to deliver analytics-ready data assets, semantic layers, metric stores, analytics models/marts, and operationalized analytics products for clinical and operational domains at Children's Health. This role family supports domain-aligned analytics, federated CI/CD and lifecycle management for analytics artifacts, and close collaboration with clinical, financial, supplychain and operational stakeholders.

Responsibilities:
Core Responsibilities:

  • Prepare and model analytically ready datasets; implement and maintain semantic layers, metrics stores or data marts; apply data engineering best practices to analytics (version control, CI/CD, environment management); collaborate with BI analysts, data scientists and domain stakeholders to operationalize analytics products; ensure alignment with governance and data quality requirements
Level Specific Requirements:
  • Design and implement semantic layer components (metrics store objects, analytical models, data marts) to support domain KPIs and BI consumption
  • Implement automated testing, CI/CD pipelines and deployment promotion for analytics products; own environment management for domain artifacts
  • Lead data quality monitoring for analytics products and collaborate with data stewards to remediate issues; maintain metadata and lineage in the catalog
  • Optimize query and semantic performance for BI tools; implement best practices to reduce dashboard sprawl and inconsistent metrics
  • Collaborate with clinical and operational stakeholders to translate clinical workflows and EHR/ERP data into repeatable analytics products (e.g., procedure-level cost and outcomes dashboards, inventory visibility reports)
  • Domain collaboration (e.g. clinical, financial, or supply chain), stakeholder facilitation and problem-solving skills
  • Ability to translate business KPIs into reproducible metrics-as-code and communicate technical concepts to a wide range of stakeholders
  • Ability to mentor junior engineers
Healthcare domain considerations:
  • Work with EHR/clinical data and supplychain/ERP data sources, follow interoperability expectations (FHIR/HL7 awareness for clinical integrations), support clinical analytics use cases (procedural analytics, outcomes measurement, preference card analytics) and supplychain analytics (spend, contract, inventory visibility) when relevant
Engineering practices to measure and apply:
  • Version control of analytics content, separate dev/test/prod environments, workflow orchestration, metadata/cataloging and performance testing to improve model uptime, adoption, code quality and defect resolution
Governance & risk:
  • Adhere to organizational data governance, privacy and security requirements (e.g., HIPAA-relevant controls), and collaborate with governance or ARB where analytics/AI artifacts will be used in clinical or high-risk contexts


How You'll Be Successful:

WORK EXPERIENCE

  • At least 3 years In analytics/data roles with demonstrated delivery of analytics artifacts, experience with dbt or other analytics engineering tools, and hands-on CI/CD and orchestration tool usage. Required
  • At least 3 years Advanced SQL, dbt or equivalent transformation frameworks, familiarity with metrics store concepts and knowledge-graph/ontology basics for semantic enrichment where applicable Required
  • At least 3 years Ability to implement CI/CD for analytics, automated testing, environment promotion and metadata/catalog integration Required
  • At least 3 years Proficiency with at least one cloud data platform (Snowflake, Databricks, MS Fabric) and BI tool optimizations (Power BI/Tableau performance tuning) Required
  • At least 1 year Exposure to machine learning, data science, or artificial intelligence concepts preferred
  • At least 1 year Experience working in healthcare or other regulated industry preferred

EDUCATION
  • Four-year Bachelor's degree or equivalent experience in Computer Science, MIS, Engineering, or related field required

LICENSES AND CERTIFICATIONS
  • Analytics related certifications (e.g. Dbt Analytics Engineering, Microsoft Fabric Analytics Engineer Associate, Snowflake SnowPro, Databricks, Epic Cogito) or a learning plan requirement to be provided with offer includes missing relevant certifications needed to perform role, and certifications must be obtained within 180 days of starting first class Req

A Place Where You Belong

We put our people first. We welcome, value, and respect the beliefs, identities and experiences of our patients and colleagues. We are committed to delivering culturally effective care, creating meaningful partnerships in the communities we serve, and equipping and developing our team members to make Children's Health a place where everyone can contribute.

Holistic Benefits - How We'll Care for You:

Employee portion of medical plan premiums are covered after 3 years.

4%-10% employee savings plan match based on tenure

Paid Parental Leave (up to 12 weeks)

Caregiver Leave

Adoption and surrogacy reimbursement

As an equal opportunity employer, Children's Health does not discriminate against employees or applicants because of race, color, religion, sex, gender identity and expression, sexual orientation, age, national origin, veteran or military status, disability, or genetic information or any other Federal or State legally-protected status or class. This applies to all aspects of the employer-employee relationship including but not limited to recruitment, hiring, promotion, transfer pay, training, discipline, workforce adjustments, termination, employee benefits, and any other employment-related activity.

Employment Type: FULL_TIME

What Children's Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom