Staff Analytics Engineer, Business Solutions
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Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Position Summary
We are seeking a Staff Analytics Engineer with skills in pipeline developmentdata modelingand reportingto support data enablement and operational reporting for ourcorporateteams includingproductsales operationsriskandcompliance. Our ideal candidate hasa strong foundationin pipeline developmentreporting data architecturedata modeling and integration with third-party data tools and a proventrack recordof working with business teams to understand and enable their data 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 tomaintainandscaledataproducts used 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 tostakeholders and to contribute to foundational projects to empower analysts and business users across the company with more and easier access to data.
Essential Job Duties & Responsibilities
Engage with stakeholders and business teams to understand priorities andidentifyopportunities to advance their analytics solutions
Provide support to stakeholders by triaging requests investigating data issues and building tools and processes to support data needs.
Builddatasetspipelinesand dashboardsusingAgileframework.
Designscalable 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.
Required Skills Knowledge & Abilities
BS in Computer Science DS or related technical degree or equivalent work experience
6-10 years experience as an Analytics Engineer BI Analyst DataAnalystor similar role
5 years hands-on SQL experience in a work environment
Experience with data modelingdocumentingprocessand data flows and ensuring data quality
Experience with ETL processes software development and lifecycle awareness
Strong communicationskills including the ability to clearly describe technical work to non-technical stakeholders
Demonstrated ability to quickly learnnew technologiesand think critically about their strengths and weaknesses
Analytical mindset and willingness toidentifyand question assumptions
Required Experience:
Staff IC
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
About Company
We are a sustainable home solutions marketplace. Providing simple, fast, and frictionless point-of-sale technology for countless mission-driven professionals serving millions of people who want to upgrade their homes and save money.
