GoodLeap - Staff Analytics Engineer, Business Solutions
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Requirements
• BS in Computer Science, DS, or related technical degree or equivalent work experience • 6-10 years' experience as an Analytics Engineer, BI Analyst, Data Analyst or similar role • 5+ years' hands-on SQL experience in a work environment • Experience with data modeling, documenting process and data flows, and ensuring data quality • Experience with ETL processes, software development, and lifecycle awareness • Strong communication skills, including the ability to clearly describe technical work to non-technical stakeholders • Demonstrated ability to quickly learn new technologies and think critically about their strengths and weaknesses • Analytical mindset and willingness to identify and question assumptions • $173,000 - $200,000 a year • In addition to the above salary, this role may be eligible for a bonus and equity. • Additional Information Regarding Job Duties and Job Descriptions:
Responsibilities
• Engage with stakeholders and business teams to understand priorities and identify opportunities to advance their analytics solutions • Provide support to stakeholders by triaging requests, investigating data issues, and building tools and processes to support data needs. • Build datasets, pipelines, and dashboards using ‘Agile’ framework. • Design scalable data models and architecture patterns that support analytics use cases, ensuring alignment with organizational standards and data strategy. • Work with other members of the Analytics team to define, implement, and test new data sources and pipelines and ensure that new reports are built on consistent, reliable, and maintainable data foundations. • Provide input to Data Engineering on requirements and enhancements to existing data ingestions, pipelines, and platforms. • If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today! • We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our Employment Privacy Policy and Recruiting Policy on AI.
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