Kajabi is an incredible place to work (if we do say so ourselves). We call our customers our Heroes because they are. We celebrate and support every one of them working to create a thriving business based on what they know and share with the world. With our robust product features, Heroes have a single ecosystem in which they can publish, market, and sell online courses, membership sites, communities, and other digital products. Tens of thousands of entrepreneurs rely on Kajabi to build and manage their online businesses, and we are proud to have enabled these entrepreneurs to generate over $5 billion in sales from nearly 75 million customers to date.
Kajabi is at another inflection point. With over $100 million in revenue and a significant round of funding that values the company at more than $2 billion, we are writing the next chapter in our journey to build a great, enduring company that redefines the knowledge economy. Learn more at www.kajabi.com.
Data Analyst, Payments
As the Payments Data Analyst, you will play a crucial role in driving strategic payments initiatives related to Kajabi Payments. You will join a team of passionate professionals who leverage cutting-edge analytics solutions and a modern data stack (Snowflake, DBT, Looker) to analyze and predict customer behavior. Working closely with the Payments and Risk teams, you will serve as an embedded analyst, providing insights and guidance on optimizing payments strategies. Your focus will be on understanding the impact of adoption and mitigation measures (such as blocking and queueing). Additionally, you will leverage tools like Snowflake, Datadog, and Looker to identify patterns in payments processing and gain a deep understanding of merchant and customer behavior.
In this role, you will have the opportunity to apply machine learning techniques to uncover patterns and trends in payments user behavior. You will also be responsible for designing and measuring data-driven strategies to enhance our payments processes. Join us on this exciting journey as we unlock the power of payments analytics to drive meaningful insights and shape the future of our payment products.
The Impact you will make
- Lead cross functional analysis using advanced data modeling techniques to discover Payments insights that will guide strategic decisions for Kajabi Payments.
- Work with the Data Science team to design and measure predictive models for Payments decisioning.
- Identify, build and analyze key metrics to measure attribution and performance of Payments solutions and operation.
- Help in performing ad-hoc reporting and investigation of fraud incidents.
Attributes for Success
- 3+ years experience in an analytically driven role
- 2+ years of SQL
- 2+ years of background in Payments management
- An understanding of Payments analytics (e.g. funnel analytics and multi-touch attribution)
- Experience analyzing Payments data across various payment flows
- 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
- Experience with working with data and technologies such as Snowflake, Looker and Tableau.
Bonus if you have
- Experience working with SaaS and/or subscription-based products
- Knowledge of data science algorithms for predictions & classification problems
- Experience working with Fraud solutions
Kajabi Team Benefits Package
- 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
The salary range for this US-based role is $70,987.00-94,649.000 + bonus + equity + benefits (health, welfare, retirement, and paid leave). Our salary ranges are determined by role, level, and location. The range displayed reflects the minimum and maximum target for new hire salaries. Actual base salary may vary based upon, but not limited to, internal equity, internal salary ranges, market data, applicant’s skills and prior relevant experience, education, certain degrees, training, certifications, geographic location, travel requirements, and business needs.