Data Intelligence Analyst, Prove

• 3+ years of experience with Looker as a data visualization tool
• Strong expertise with SQL and preferred knowledge of LookML
• Strong understanding of Looker Performance tuning, caching behavior, and dashboard optimizations
• Advanced investigation using observability tools (Splunk/Honeycomb)
• Knowledge of data warehousing and modeling concepts
• Familiar with Gitlab or similar tool for code management
• Experience training non-technical & technical users to use and/or build BI reports
• Proficiency with APIs connections for automation and integration
• Proficient in ETL and alerting functions within Snowflake/Looker
• Experience in R or Python
• Experience with applying high level statistical concepts to solve analytics problems
• Degree in Computer Science, Information Systems, Data Analytics or equivalent experience
• Excellent communication and presentation skills

Desirable

• Reports To: Manager, Data Scientist Engineering
• As a Prove Data Intelligence Analyst you’ll be responsible for managing the data infrastructure and reporting systems that directly inform business strategy. You’ll partner with stakeholders across Sales, Customer Success, Finance, and Product to transform complex raw data into actionable business insights and manage enterprise-level reporting to our customers
• You will join a fast-paced Data Science team that enjoys solving mysteries and has a desire to continuously grow and learn. The right candidate is highly collaborative, committed to giving and receiving constructive feedback, and effective in presenting analysis to both technical and non-technical stakeholders
• Develop and maintain LookML models to standardize key performance indicators (KPIs)
• Optimize dashboards for usability and performance, adhering to Snowflake limitations
• Automate recurring reporting tasks, such as scheduling Looker email deliveries
• Incorporate observability metrics into Business Intelligence (BI) reports to enhance analytical depth
• Partner with data engineering and data science teams to champion data requirements
• Collaborate with the Finance and Legal teams to provide reporting support for contracts
• Synthesize data learnings into compelling stories and communicate to stakeholders
• Monitor and help refine metrics for product efficacy and customer success
• Assist in prototyping new analytics & machine learning models that improve both our insights and the product directly
• Work with product and engineering teams to aid testing of new product ideas and analyze results to provide actionable recommendations
• Perform deep analysis and build models to understand customer and product behavior, and extract key insights that impact product decisions
• Work with the broader Data Science team to find ways to scale our insights through better systems and automation
• Monitor and troubleshoot BI system performance to ensure data accuracy and availability
• Implement governance practices, including row-level security, to ensure secure and compliant access to data
• Lead customer data studies, providing valuable insight to Sales & Customer Success teams both during pre & post sale