Data Analyst, Product Analytics

The job overview for the Data Analyst - Product Analytics role at Kajabi is to drive strategic and operational product initiatives that contribute to the company's growth, performance, and market position in the Knowledge Economy. The Data Analyst will work closely with the Product team, utilizing advanced data modeling techniques and analytics to uncover insights, guide decision-making, and optimize marketing channels. The role requires strong analytical skills, experience with Python, R, and SQL, as well as the ability to synthesize complex data for both technical and non-technical audiences. Bonus skills include proficiency in Looker, DBT, advanced SQL, and knowledge of A/B testing and data science algorithms.

• Lead cross functional analysis using advanced data modeling techniques to discover insights that will guide strategic decisions and uncover opportunities for optimization across marketing channels
• Work with Marketing in developing marketing & media mix models and multi-touch attribution solutions to inform marketing spend allocations and partners for future campaigns
• Work with other analysts to uncover insights that drive hypothesis testing geared towards optimizing site conversion
• Work with marketing departments to design and measure A/B and multivariate tests
• Identify, build and analyze key metrics and traffic patterns to measure attribution and performance of marketing programs
• Perform ad-hoc reporting and analysis to uncover changes in performance within statistical significance
• Collaborate with the Product team as an embedded analyst to help guide the team in understanding the impact of product releases on customer behavior
• Use Python or R, SQL, and data science algorithms to analyze and interpret trends or patterns in complex data sets
• Synthesize complex data and hypotheses into a digestible format for both technical and non-technical audiences
• Bonus skills: Looker (development and building out dashboards), working knowledge of DBT (creating models, tests, macros, etc.), advanced SQL (Window functions, PDT's, stored procedures, etc.), deep understanding of both Frequentists and Bayesean inference for A/B testing, knowledge of data science algorithms for prediction.

• 4+ years experience in an analytically driven role
• 3+ years Python or R
• 3+ years of SQL
• Experience working with SaaS and/or subscription-based products
• The ability to identify, analyze, and interpret trends or patterns in complex data sets
• The ability to synthesize complex data and hypotheses into a digestible format for both technical & non-technical audiences
• Bonus if you have experience with Looker (development and building out dashboards)
• Bonus if you have working knowledge of DBT (creating models, tests, macros, etc.)
• Bonus if you have advanced SQL skills (Window functions, PDT’s, stored procedures etc.)
• Bonus if you have a deep understanding of both Frequentists and Bayesean inference for A|B testing
• Bonus if you have knowledge of data science algorithms for prediction

• Company paid premiums for medical, dental, and vision insurance for self and family
• Company sponsored HSA account
• Company 401K, 100% match up to 6% of employee contributions
• Equity
• Flexible vacation policy
• Telecommuting
• Educational allowances
• Fitness incentives package
• Company funded mental health resources
• Wellness perks
• Casual dress