Senior Data Analyst, Borrowell

• 3+ yrs working experience in a Data Analyst or similar quantitative role with proficiency in SQL (e.g., complex joins, window functions, query optimization) to extract, transform, and analyze large datasets to solve complex business problems
• Excellent communication skills, use data to tell a comprehensive story that is clear and tailored for both technical and non-technical audiences
• Proven experience with analytics and data transformation tools such as Looker, Tableau, DBT or similar (we use Looker)
• Familiarity with data warehousing concepts and data modeling principles
• Experience with A/B testing design, execution, and statistical interpretation
• Strong statistical knowledge (e.g., hypothesis testing, confidence intervals) and proven ability to apply these concepts in a business context

Desirable

• As a Data Analyst you will be a key member of Borrowell’s Data Analytics Team. Your role will be pivotal in informing new marketing and product initiatives and powering the recommendations we personalize to each of our 3+ million members
• You'll provide a window into business performance and help to make recommendations on what we build next. You can expect to be responsible for creating and managing insights, experimentations, forecasting, and reporting for various business partners at Borrowell
• You’ll monitor existing key performance indicators, explore new areas of data to drive business growth and product development, and make company data accessible, insightful and actionable to the different business divisions
• This role specifically focuses on being a data thought partner to a designated Product Manager and related cross-functional Product pod (in-house folks in engineering, devops, QA, mobile, and more)
• Execute end-to-end analytical projects, from defining the right metrics to delivering clear, actionable insights, to address key business challenges and support data-driven decision-making across multiple teams
• Perform deep-dive analyses aggregating data from multiple sources, utilizing advanced SQL and statistical techniques to uncover trends and identify root causes
• Design, implement, and analyze A/B tests and other experiments, ensuring statistical rigor and accurately calculating impact to inform product decisions while collaborating with product and engineering teams to define success metrics and establish testing methodologies
• Collaborate across functions to identify data analytics problems and execute solutions with data-driven insights
• Translate product requirements into clear and actionable data tasks
• Build, maintain, and enhance interactive dashboards and reports using our analytics platform (Looker) to democratize data and allow stakeholders to self-serve insights