We’re looking for a Staff Analytics Engineer with a strong background in data model design and experience with cloud data warehouse products to help us create foundational data assets and create guidance for all data at Checkr. 

Responsibilities:

• You will help bridge the gap between understanding business needs and knowing how to craft efficient, usable data models and visualizations to be leveraged by the entire company and external facing customers
• Partner with multiple product managers, engineers, and source system subject matter experts on different projects to provide data sources, dashboards, and insights into product feature success
• Publish trusted data models by developing new or consolidating and optimizing existing data sources that enable self-service for Checkrs to find the answers they need 
• Select data schemas and guidance for all data analysts at Checkr
• Work on high-impact projects that improve data availability and quality, and provide reliable access to data for the rest of the business
• Have a strong point of view on what data to prioritize
• Rapidly deliver on concepts through prototypes that can be presented for feedback
• Train and mentor employees on best practices for data modeling
• Document data requirements and processes to bring transparency and ensure data integrity with privacy by design

What you bring:

• 7+ years of industry-related experience in a data engineering, BI analyst, or analytics engineer role and a Bachelor’s degree or equivalent experience.
• Ability to translate business processes and data into analytics solutions.
• Strong background in dimensional modeling and data warehousing concepts.
• Experience in managing databases, including relational database architecture, query optimization, and database schema design.
• Conceive, implement and maintain data models or views that simplify reporting, expand access to insights, and support ongoing analysis and reporting
• Expertise with data modeling via SQL transformation with best practices to ensure top performance and optimization
• Extra bonus if you have 
• Experience with DBT, Snowflake, Looker, Airflow
• Experience working with APIs or unstructured data 
• Experience building data service layer for custom applications 

What you get:

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to 25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend, home office stipend

At Checkr, we believe a hybrid work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO, San Francisco, CA, and Santiago, Chile. Individuals are expected to work from the office 2 to 3 days a week. In-office perks are provided, such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages. 

One of Checkr’s core values is Transparency. To live by that value, we’ve made the decision to disclose salary ranges in all of our job postings. We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website.

The base salary range for this role is $188,126 to $254,524 in San Francisco, CA.

Equal Employment Opportunities at Checkr

Checkr is committed to hiring talented and qualified individuals with diverse backgrounds for all of its tech, non-tech, and leadership roles. Checkr believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.   

Checkr also welcomes the opportunity to consider qualified applicants with prior arrest or conviction records. Checkr’s commitment to diversity extends to hiring talented individuals in spite of a prior criminal history in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance.