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Data Implementation Analyst Jobs in Nevada (NOW HIRING)

Analyze and resolve day-to-day operational challenges related to the existing Epicor implementation ... Monitor system usage and data integrity, proactively identifying and correcting discrepancies to ...

... Data Acquisition (SCADA) software applications, interfaces, and databases in a natural gas ... and implement preventative maintenance plans to ensure network and systems reliability and ...

Develop and implement audience segmentation strategies using advanced SQL queries and data ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

Develop and implement audience segmentation strategies using advanced SQL queries and data ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

Develop and implement audience segmentation strategies using advanced SQL queries and data ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

Develop and implement audience segmentation strategies using advanced SQL queries and data ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

... data capture, and operational efficiency throughout the study lifecycle. The role is also ... Design, test, implement and support files/systems within assigned products and scope. * Demonstrate ...

Write simple to moderate test scripts and prepare simple to moderate test data. KNOWLEDGE AND EXPERIENCE 3+ years work experience with system analysis and design, implementation, training, and / or ...

MANAGEMENT ANALYST 2

Carson City, NV · On-site

$64K - $95K/yr

... develop, implement, and maintain policies, procedures, and internal controls. Additional ... Conduct statistical or investigative studies, compile and analyze data, and prepare and present ...

This position will also focus on implementing best practices and procedures to ensure improved ... This role works directly with other IT application groups and end-users to analyze, troubleshoot ...

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Data Implementation Analyst information

What is the difference between Data Implementation Analyst vs Data Analyst?

AspectData Implementation AnalystData Analyst
Primary FocusImplementing data solutions, integrating systems, ensuring data accuracy during deploymentAnalyzing data sets, generating reports, identifying trends and insights
Skills & CertificationsData management, SQL, ETL tools, project managementData visualization, statistical analysis, Excel, SQL
Work EnvironmentIT teams, data engineering, project-based tasksBusiness units, reporting teams, analytics departments

The Data Implementation Analyst primarily focuses on deploying and integrating data systems, ensuring data quality during implementation. In contrast, the Data Analyst concentrates on analyzing existing data to generate insights and reports. Both roles require strong SQL skills and familiarity with data tools, but their core responsibilities and work environments differ significantly.

What are some common challenges faced by Data Implementation Analysts during new client onboarding?

Data Implementation Analysts often encounter challenges such as integrating complex client data from various sources, ensuring data accuracy, and adapting to unique client requirements. They must communicate effectively with both technical teams and client stakeholders to clarify data specifications and resolve discrepancies quickly. Time management is critical, as onboarding projects may have tight deadlines and require simultaneous coordination across multiple teams. Successful analysts leverage strong analytical skills and attention to detail to deliver smooth, accurate implementations.

What are the key skills and qualifications needed to thrive as a Data Implementation Analyst, and why are they important?

To thrive as a Data Implementation Analyst, you need strong analytical abilities, knowledge of data management principles, and a relevant degree such as in computer science or information systems. Familiarity with data integration tools, SQL, ETL processes, and sometimes certifications like CBIP (Certified Business Intelligence Professional) are typically required. Exceptional problem-solving skills, attention to detail, and effective communication help you understand client requirements and collaborate with stakeholders. These skills ensure smooth data migrations, accurate implementations, and successful project outcomes in data-driven environments.

What is a Data Implementation Analyst?

A Data Implementation Analyst is a professional who specializes in integrating, configuring, and ensuring the successful deployment of data solutions for clients or organizations. They work closely with both internal teams and external stakeholders to understand data requirements, map data sources, and oversee the transfer and validation of data. Their responsibilities often include troubleshooting data issues, optimizing data workflows, and providing technical support during the implementation phase. Strong analytical, technical, and communication skills are essential for this role.
What job categories do people searching Data Implementation Analyst jobs in Nevada look for? The top searched job categories for Data Implementation Analyst jobs in Nevada are:
Infographic showing various Data Implementation Analyst job openings in Nevada as of July 2026, with employment types broken down into 8% Internship, and 92% Full Time. Highlights an 77% In-person, and 23% Remote job distribution.

$58.83 - $82.37/hr

Full-time

Posted 7 days ago


Job description

Job Title: Data Engineer
Location: Reno, NV (Remote or Hybrid)
Salary Range: $58.83-$82.37 per hour

Primary Responsibilities:

  • Experience with AWS infrastructure including AWS Connect and AWS Lambda.
  • Manage and optimize the movement and validation of data from an Epic EMR system to SQL databases in AWS or Azure and either from or to the Salesforce platform.
  • Accountable for data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance.
  • Oversee the development of novel data pipelines that integrate and normalize large data from a variety of sources to enable learning health, machine learning model development, and deployment.
  • Design, direct, and implement ETL processes, including data capture, data quality, testing, and validation methods.
  • Layer in instrumentation in the development process so that data pipelines can be monitored.
  • Build processes and diagnostic tools to troubleshoot, maintain, and optimize engineering environments and respond to production issues.
  • Provide subject matter expertise and hands-on delivery of data capture, curation, and consumption pipelines for AWS.
  • Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the Azure platform.
  • Develop documentation, such as data dictionaries, guides, or data flow diagrams that assist staff in identifying, locating, and using the organizations data.

Incumbent Must Possess:

  • Minimum of 3 years of SQL programming experience and associated SQL tools (SSIS, SSMS, SSRS, etc.).
  • Experience with Visual Studio is preferred.
  • At least 3 years of experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions.
  • Minimum of 3 years of RDBMS experience.
  • Extensive hands-on experience implementing data migration and data processing using Amazon Web Services. Includes knowledge of Amazon Connect and Amazon Lambda.
  • Knowledge of medical terminology, especially ICD-10 codes, CPT codes, DRG codes, and an understanding of adjudicated claims data.
  • Excellent verbal and written communication skills.

Minimum Qualifications:

  • Education: Masters degree with 10 years experience preferred; Bachelors degree with 13 years of equivalent experience will be considered in place of masters degree requirement.
  • Experience: Requires a minimum of 10 years experience with at least five (5) years working in data management, data engineering, or data architecture. Enterprise Data Warehouse development preferred; Requires at least five (5) years working with healthcare data; more is preferred. SQL proficiency is required.
  • License(s): None
  • Certification(s): Certification work related to Epic or Amazon Cloud may be required within 1 year of starting employment.
  • Computer / Typing: Must be proficient with Microsoft Office Suite, including Outlook, PowerPoint, Excel, and Word and can use the computer to complete online learning requirements for job-specific competencies, access online forms and policies, complete online benefits enrollment, etc.

This role offers a unique opportunity to work on cutting-edge data engineering projects in the healthcare industry. If you meet the qualifications and are excited about the potential of this role, we encourage you to apply.