What are the responsibilities and job description for the Principal, Data Analytics Engineering position at Request Technology, LLC?
Job Details
Principal, Data Analytics Engineering
Salary: Open Bonus
Location: Chicago, IL
Hybrid: 3 days onsite, 2 days remote
*We are unable to provide sponsorship for this role*
Qualifications
- Bachelor s degree
- 10 years of experience as a data engineer, analytics engineer, business intelligence analyst, or data scientist
- Experience implementing and maintaining cloud-based data warehouses and curating a semantic layer that meets the needs of business stakeholders
- Ability to collaborate with multiple partners (e.g., Business Functional areas, Data Platform, Platform Engineering, Security Services, Data Governance, Information Governance, etc.) to craft solutions that align business goals with internal security and development standards
- Strong presentation and communication skills, including ability to clearly explain deliverables/results to non-technical audiences
- Proficiency in SQL
Preferred
- Experience with Python and/or R
- Experience with visualization/reporting tools, such as Tableau
- Experience with ETL tools, such as Alteryx
Responsibilities
- Partner with Data Architecture and other relevant teams to design and implement new cloud data warehouse infrastructure for internal facing analytics
- Work with various business and functional teams to understand their data and technical requirements and ensure delivered solutions address needs
- Manage the validation of data models to ensure information is available in our analytics warehouse for downstream uses, such as ad hoc analysis and dashboard development
- Maintain performance requirements of our analytics warehouse by tuning warehouse optimizations and storage processes
- Direct and enable the team to collaborate with Data Governance team and DBAs to design access controls around our analytics warehouse to meet business and Data Governance needs
- Approve documentation and testing to ensure data is accurate and easily understandable
- Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources
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