As a Senior Data and Analytics Engineer, you will:
- Work closely with Engineering, Product, UX and executive stakeholders to support critical initiatives via data analysis
- Be responsible for crafting a long-term strategic vision for how we access, model, analyze, and visualize valuable business data and information with minimal oversight
- Lead development of data warehousing, data visualization, and customizable reporting strategies, architectures, and roadmaps
- Apply your knowledge of SQL, data modeling/design, programming, statistics, and mathematics to recognize patterns and anomalies
- Regularly communicate your findings and recommendations to the broader team via data visualization and storytelling
- Measure key performance indicators across various departments and strategic initiatives
- Craft our long-term data and analytics strategy with respect to data warehousing, data visualization, and customizable reporting
- Collaborate with engineering team members as needed on more involved, custom development tasks
- Spatial/geometric reasoning ability — for rendering, animation, and image manipulation
- Ability to quickly understand and work with unfamiliar complex code
- Proactive and clear communication is essential for this remote work position
Qualifications
- 6+ years of experience working with large datasets across multiple sources to extract insights
- Deep understanding of relational database concepts, such as normalization and data integrity
- Expert-level experience writing complex, performant SQL queries
- Experience translating complex data into business insights
- Experience with cloud databases and data warehouses (ideally using Snowflake, Amazon Redshift, Amazon Aurora, etc.)
- Experience with programming languages and tools commonly used with data and analytics (e.g. Python, R, Pandas, etc.)
- Experience with data cleansing and validation
- Proven ability to work independently to deliver on projects with minimal oversight
- Ability to self-organize, manage your time, and deliver on your commitments
- Excellent written and verbal communication skills
PREFERRED SKILLS:
- Experience with analytics platforms and other business intelligence tools a plus (e.g. Tableau, Power BI, Mode etc.)
- Experience with data warehousing ETL processes and supporting tools a plus (e.g. AWS Glue, FiveTran etc.)
- Snow flake,
- Experience with SaaS metrics and reporting a plus (e.g. customer churn, lifetime value, etc.)
- Experience supporting integrations with enterprise resource planning software a plus (NetSuite, Sage, etc.)