Data Analytics Engineer

Loyal Source Government Services; Orlando (FL); On-site; USD 100,000 - 720,000; Full time

Job summary

A leading company in Orlando is seeking a Data Analytics Engineer to transform data into actionable insights. The role involves developing analytics systems, identifying trends, and collaborating with teams to drive innovation. Ideal candidates will have a strong background in data analytics, SQL, and Python, with experience in tools like Power BI and Salesforce. This full-time position offers a chance to contribute to impactful projects in a dynamic environment.

Benefits

Medical insurance

Vision insurance

401(k)

Qualifications

• 5+ years of experience in data analytics or data engineering.
• Experience in designing and maintaining ETL/ELT pipelines.

Responsibilities

• Develop and maintain cutting-edge analytics systems.
• Identify trends and growth opportunities through data analysis.
• Create best-practice reports based on data mining and visualization.

Skills

SQL

Python

Education

Bachelor's Degree in Computer Science

Master's Degree in Data Analytics

Tools

Power BI

Salesforce

Tableau

Microsoft Fabric

ArcGIS

Job description

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Loyal Source is looking for a Data Analytics Engineer for an employment opportunity in Orlando, Florida.

About The Role

The Data Analytics Engineer plays a critical role in transforming data into readable, goal-oriented reports that drive innovation and growth. The ideal candidate is highly skilled in all aspects of data analytics, including mining, generation, and visualization.

Key Responsibilities

• Develop, implement, and maintain cutting-edge analytics systems, simplifying complex problems into straightforward frameworks.
• Identify trends and growth opportunities through detailed analysis of complex datasets.
• Provide detailed source-to-target mappings and information-model specification documents.
• Create best-practice reports based on data mining, analysis, and visualization.
• Evaluate internal and external systems for efficiency and accuracy and maintain data handling protocols.
• Collaborate directly with managers and users to gather requirements and provide status updates.
• Deliver actionable insights by understanding critical metrics and KPIs.
• Proactively analyze data to answer vital business questions and identify potential improvements.
• Create and maintain dynamic visualizations using data interpretation and analysis.
• Define and implement data acquisition and integration logic for optimal scalability and solution performance.
• Develop and maintain databases, building scripts to enhance the flexibility and scalability of data evaluation processes.
  
  

Required Qualifications

• Bachelor's or Master's Degree in Computer Science, Mathematics, Data Analytics, Information Systems, or related field.
• 5+ years of experience in data analytics or data engineering.
• Strong proficiency in SQL and Python.
• Experience with data transformation using ETL.
• Proficiency in tools like Power BI, Microsoft Fabric, Salesforce, ArcGIS, and Tableau.
• Salesforce Report building and analysis.
  
  

Additional Qualifications

• Master’s Degree in a relevant field preferred.
• Experience in designing and maintaining ETL/ELT pipelines.
  
  

About Loyal Source

Loyal Source is an Orlando-based workforce solutions provider dedicated to delivering elite services worldwide, with a focus in government healthcare, technical and support services, engineering, and travel healthcare. Loyal Source provides exceptional custom solutions to both private enterprise and government agencies. Loyal Source is a military-friendly employer and proud partner of the Military Spouse Employment Partnership program.

For more information, visit our website at www.loyalsource.com and follow us on LinkedIn, Facebook, & Twitter for other positions currently open.

Loyal Source does not discriminate in employment based on race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Hospitals and Health Care

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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