Analytics Engineer

We are looking for an Analytics Engineer with extensive Looker experience to join our team to level-up our business intelligence capabilities. You will play a crucial role in implementing, improving, and maintaining Looker across the company. This includes developing Looker reports for our customer reporting platform and working to improve underlying ETL pipelines. The successful candidate will have strong technical skills with the ability to solve and explain complex business problems to a technical audience, a demonstrated record of improving the processes and people around them and a passion for product and technology. Our culture is collaborative, supportive and focused on customer success.
Responsibilities
• Maintain and debug LookML code, build user-friendly explores, design comprehensive models, define caching policies, and understand various datasets and associated schemas.
• Develop and maintain a catalog of UJET’s data and business processes.
• Assist the data and analytics engineering teams with quality assurance tasks related to data representation and accessibility.
• Collaborate closely with product, analytics, customer success, and engineering teams to develop data models.
• Act as a subject matter expert on the UJET data platform for the Customer Success and Customer Support Engineering team by answering questions, reviewing UJET reporting features, and resolving outstanding issues.
• Provide technical insight to the team and guide the Data Analytics Engineering team with executing the Master Data Management strategic plan.
• Define and drive strong engineering practices and champion a software development mindset within the team.
• Participate and share your ideas in technical design and architecture discussions.
• Develop your craft and build your expertise in data and analytics systems.
Requirements
• Enthusiasm for data and analytics!
• Demonstrated expertise with Looker, LookML development, and SQL.
• A passion for mentoring and developing fellow team members.
• Experience with analytics platforms and methodologies (data lake, data warehouse, data marts, ETL, data modeling, data governance, etc.)
• Passion for providing services and experiences that exceed expectations.
• Experience in a consultancy role desired by not mandatory.
• Data modeling fundamentals including experience with dimensional modeling, 3NF, star and snowflake schemas, etc., and strong application knowledge concepts like normalization, referential integrity, data domains, etc. desired but not mandatory.
• Experience with telephony, CRM, or WFM software and customer support technology desired but not mandatory.
• Call center or supply chain experience desired but not mandatory.