About the Opportunity

As a BI Engineer, you will be at the heart of the organization, using data to answer complex questions and help drive business decisions. You will create and maintain Looker dashboards that will be used by executives to inform critical business decisions across the organization. You will work closely with other engineers to maintain the backend data warehouse and connection to BI platforms. You will also frequently collaborate with other internal teams to gather reporting requirements and gain insight into the workings and needs of the various verticals within the organization. You will become Cleerly’s data expert and fully understand the complexities and nuances of the business.

About the Team

The business intelligence team at Cleerly provides in-depth analysis that puts data and insights at the heart of decision making. We are a team of engineers, product managers, and analysts located across the U.S. with a passion for data architecture, visualization, and analysis

Responsibilities

• Design and maintain dashboards that drive decision-making across the business
• Develop and maintain backend LookML (views, models, explores, etc.)
• Collaborate with Engineers and Product Leaders to define and implement business data requirements
• Maintain the integrity and validity of the data in order to build and maintain trust across the business
• Work cross functionally across various teams to gather requirements for reports, analysis, and dashboards
• Present dashboards/findings and receive feedback from internal stakeholders
• Run ad-hoc queries in Snowflake or create quick visualizations in Looker to support high priority items

Requirements 

• Bachelor’s degree in Data Analytics, Business Analytics, Computer Science, Information Technology, or a related technical field 
• 2-4 years of post-grad, relevant experience
• Strong knowledge and experience writing advanced SQL; Snowflake preferred
• Strong knowledge and experience of LookML
• Experience working with data visualization and dashboarding tools; Looker preferred
• Solid understanding of data modeling; table relationships, complex joins, foreign keys
• Ability to communicate technical concepts to non-technical stakeholders
• Ability to translate problems and pain points into technical requirements and solutions
• Strong project management skills and ability to shift priorities as needed
• Excellent interpersonal and cross-team collaboration skills

Impress us more…

• Experience coding in Python
• Experience working with AWS tools and technologies
• Strong knowledge of Data Engineering using Airflow
• Healthcare and/or startup experience

Salary: $120,000-$165,000

 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). We hire employees anywhere within the United States and account for geography when determining base salary.