Tential Solutions
Analytics Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Analytics Engineer with a contract length of "X months," offering a pay rate of "$X/hour." Requires strong SQL and AWS (Athena, RDS, Hive) skills, focusing on analytics and reporting, not ETL.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 6, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Rockville, MD
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🧠 - Skills detailed
#Angular #Microsoft Power BI #Scripting #BI (Business Intelligence) #Regression #Tableau #Scala #RDS (Amazon Relational Database Service) #Athena #S3 (Amazon Simple Storage Service) #Data Accuracy #"ETL (Extract #Transform #Load)" #Data Pipeline #SQL (Structured Query Language) #Python #AWS (Amazon Web Services) #Data Analysis #Automation #Lambda (AWS Lambda)
Role description
Senior role focused on delivering analytics, dashboards, and insights using existing enterprise data. Works across SQL and AWS (Athena, RDS, Hive) to enable business decision-making through reliable and scalablereporting solutions. Not an ETL/data pipeline role.
Key Responsibilities
• Build and optimize SQL-based analytics and reporting solutions
• Analyze data using AWS services (Athena, RDS, Hive)
• Develop and maintain dashboards and KPI reports
• Define and refine business metrics and KPIs with stakeholders
• Improve analytics efficiency through reusable queries and views
• Build lightweight automation/tools to reduce manual reporting effort
• Ensure data accuracy and reliability through validation and testing
• Perform testing, including:
• Regression testing of dashboards/reports
• Performance testing of queries
• Unit and end-to-end (E2E) testing
Must-Have Skills
• Strong SQL (advanced queries, optimization, performance tuning)
• Experience with AWS analytics services (Athena, RDS, Hive)
• Strong background in data analysis and dashboarding
• Understanding of KPIs, metrics, and reporting logic
• Experience in data validation and testing
Good-to-Have Skills
• BI tools (QuickSight, Tableau, Power BI)
• AWS ecosystem (S3, EMR, Glue, Lambda)
• Basic Angular/frontend exposure
• Python or scripting for automation
• Experience with CI/CD and testing frameworks
Focus
• Analytics, reporting, and insights (not ETL)
• AWS-based data querying
Senior role focused on delivering analytics, dashboards, and insights using existing enterprise data. Works across SQL and AWS (Athena, RDS, Hive) to enable business decision-making through reliable and scalablereporting solutions. Not an ETL/data pipeline role.
Key Responsibilities
• Build and optimize SQL-based analytics and reporting solutions
• Analyze data using AWS services (Athena, RDS, Hive)
• Develop and maintain dashboards and KPI reports
• Define and refine business metrics and KPIs with stakeholders
• Improve analytics efficiency through reusable queries and views
• Build lightweight automation/tools to reduce manual reporting effort
• Ensure data accuracy and reliability through validation and testing
• Perform testing, including:
• Regression testing of dashboards/reports
• Performance testing of queries
• Unit and end-to-end (E2E) testing
Must-Have Skills
• Strong SQL (advanced queries, optimization, performance tuning)
• Experience with AWS analytics services (Athena, RDS, Hive)
• Strong background in data analysis and dashboarding
• Understanding of KPIs, metrics, and reporting logic
• Experience in data validation and testing
Good-to-Have Skills
• BI tools (QuickSight, Tableau, Power BI)
• AWS ecosystem (S3, EMR, Glue, Lambda)
• Basic Angular/frontend exposure
• Python or scripting for automation
• Experience with CI/CD and testing frameworks
Focus
• Analytics, reporting, and insights (not ETL)
• AWS-based data querying
