Staff Analytics Engineer, Business Solutions

GoodLeap • San Francisco, CA

6d • $173,000 - $200,000

About The Position

We are seeking a Staff Analytics Engineer with skills in pipeline development, data modeling and reporting to support data enablement and operational reporting for our corporate teams, including product, sales, operations, risk and compliance. Our ideal candidate has a strong foundation in pipeline development, reporting, data architecture, data modeling, and integration with third-party data tools, and a proven track record of working with business teams to understand and enable their data needs. In this role, you will work closely with business stakeholders and other members of the Analytics team to structure data for easy access and analysis and to maintain and scale data products used by corporate teams. You will have the opportunity to work closely with other members of the Analytics team to learn about a range of datasets and determine how best to surface them to stakeholders, and to contribute to foundational projects to empower analysts and business users across the company with more and easier access to data.

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

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.
• Share new data tools with non-technical stakeholders and educate end users on how best to access the data they need.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level