Senior Business Intelligence Analyst, Clio

• We aren’t looking for just any traditional Business Intelligence Analyst to join this team
• We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and someone who lives and breathes their values
• We’re looking for an innovator and a thought leader
• Passionate about driving growth empirically
• Always looking to innovate with data and explore open-ended questions
• Strategically minded and never shies away from a challenge
• Self-motivated and able to work autonomously and collaboratively
• Agile and responsive, and comfortable with constant change
• An undergraduate or graduate degree in a relevant quantitative discipline (computing science, statistics, mathematics, etc.)
• 6+ years applied experience in business intelligence and/or data modeling
• Proficiency in database modeling, SQL, and data warehousing principles
• Proficiency with data visualization and data storytelling
• An understanding or familiarity of SaaS business metrics such as MRR, churn etc
• A passion for understanding data and to figure out the root cause of a metric trending below target
• Proven experience with one or several cloud based business intelligence tools, incl. Tableau, PowerBI, and Looker
• Excellent written and verbal communication skills

Desirable

• We are currently looking for a new Senior Business Intelligence Analyst to join our Business Intelligence team in one of our Vancouver, Calgary, or Toronto locations
• Our Business Intelligence team is part of the larger Data & AI group
• Together, we’re focused on stewarding a scientific culture to drive better decisions
• Along with the Manager of Business Intelligence, you will be working across departments to empower all stakeholders to make better decisions through data-oriented solutions, with a focus on making data easy and accessible at Clio
• You will help our business grow, help our customers succeed, and continuously improve the way we operate
• Partnering with stakeholders, self-serve report creators, the data scientists and data engineers, and others to create meaningful, intentional data solutions
• Standardizing source of truth dashboards and applying best practices to create dashboards that convey the most important metrics for the business
• Creating and editing data models for users to answer business questions and optimize queries and reports for performance
• Effectively communicating findings and feedback to technical and non-technical stakeholders
• Working with the Business Intelligence Manager to govern our BI environment to empower our self serve stakeholders leveraging data and dashboards
• Working with the Business Intelligence Manager to proactively identify and resolve gaps in training, learning resources, and other roadblocks preventing stakeholders from leveraging data for decision making
• ​