
Staff Analytics Engineer, Business Solutions
GoodLeap
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • United States
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Salary
💰 $173,000 - $200,000 per year
Job Level
About the role
- 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.
- Share new data tools with non-technical stakeholders and educate end users on how best to access the data they need.
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
Benefits
- In addition to the above salary, this role may be eligible for a bonus and equity.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata modelingETL processesdata pipelinesdata architecturedata qualityAgile frameworkdata analysisdata visualizationdata engineering
Soft Skills
communication skillsanalytical mindsetcritical thinkingstakeholder engagementproblem-solvingcollaborationeducational skillstriaging requestsinvestigating data issuesadaptability
Certifications
BS in Computer ScienceBS in Data Sciencerelated technical degree