We’re looking for a Staff Data Analyst/Analytics Engineer to join our team. This role reports to the Director of Analytics and joins a team of five other analysts collaborating closely with the Data Platform team. We're looking for someone excited to jump into new problems and make an impact.
In this role, you will:
- Be the bridge between stakeholders and our data models, translating real-world questions into concrete metrics.
- Lead the design, implementation, and maintenance of features in our Business Intelligence tools to empower decision-makers across Honor.
- Design and develop data models, scalable data pipelines, and data visualization solutions.
- Keep a pulse on analytics use cases across the business, identifying gaps where we can better support our users and proposing actionable steps for improvement.
- Collaborate with Data Platform to extend our data models. This includes digging into nuances in source data as well as providing feedback on the usability of data model designs.
- Evangelize best practices in analytics by cultivating stakeholder relationships and creating end-user resources.
- Mentor and provide technical oversight on teammates’ projects throughout the project lifecycle
- Optimize and troubleshoot existing analytics solutions to ensure accuracy and performance.
About you:
- Excellent oral and written communication skills with a variety of audiences.
- 5+ years professional experience in an analytics role with 2-3 years of strong focus on ETL processes.
- 4+ years professional experience writing and testing SQL.
- Experience with data modeling for Looker.
- Familiarity with dbt is preferred.
- Bring a curious and creative mindset to understanding Honor's data.
- Familiarity with dimensional modeling.
- Familiarity with Python and data manipulation libraries.
- Previous management/mentorship experience.
- Able to manage product ambiguity, seeking clarity when possible.
- Are accountable end-to-end for your own projects, through planning, deployment, maintenance, and monitoring. You spot and address potential issues early.
