C2C or Third Parties DO NOT APPLY
Title: Senior Data Reporting and Analytics Engineer
Term: 6 month contract potential extension
Pay: up to $77/hr. DOQ
Location: Hybrid/Remote - Denver CO
MUST HAVE:
Bachelor's Degree required
* AWS QuickSight experience is a MUST-HAVE
* ETL experience with AWS Glue is a MUST-HAVE
* Infrastructure as a code using Terraform
* HM does not want to see candidates that lack the experience listed above
Job Summary
Do you have a passion for transforming data into actionable insights? Are you an expert in building reports and dashboards that empower business decisions? If so, we want to hear from you!
We are seeking a Senior Reporting and analytics Engineer to join our growing team. In this role, you will play a key role in designing, developing, and implementing robust reporting and analytics solutions using AWS QuickSight and Tableau.
Responsibilities:
• Understand their reporting needs and translate them into actionable data visualizations.
• Design, develop, and maintain complex reports and dashboards using AWS QuickSight and Tableau.
• Develop and implement data pipelines for efficient extraction, transformation, and loading (ETL).
• Write clean, efficient, and maintainable SQL queries to extract data from various sources.
• Ensure data accuracy and consistency through data quality checks and cleansing processes.
• Collaborate with data engineers and scientists to ensure a seamless flow of data insights.
• Stay up-to-date on the latest trends and best practices in business intelligence (BI) and data visualization.
• Document and maintain reporting processes for future reference.
• Present complex data findings to stakeholders clearly and concisely.
Qualifications:
• 5+ years of experience as a Business Intelligence Analyst, Data Analyst, or related role.
• Proven experience with AWS QuickSight and Tableau (experience with other BI tools is a plus).
• Strong SQL skills for data querying, manipulation, and transformation.
• Experience with data warehousing concepts (e.g., AWS Redshift) is a plus.
• Familiarity with ETL tools and data pipeline development (e.g., AWS Glue) is a plus.
• Excellent communication and collaboration skills.
• Ability to work independently and manage multiple projects simultaneously.
• Strong analytical and problem-solving skills.
• Attention to detail and a commitment to data quality.
Bonus points:
• Experience with data governance and security best practices.
• Experience with Python, R, or other statistical programming languages is a plus.
