Staff Data Engineer/Analyst - GTM

Are you ready to power the World's connections?
If you don’t think you meet all of the criteria below but are still interested in the job, please apply.  Nobody checks every box - we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.
About the role:
Kong is seeking an experienced GTM Staff Data Engineer/Analyst to join our Revenue Operations team. This is an opportunity for an individual with a strong background in data engineering, analytics, and business intelligence to make a significant impact on our success.
In this role, you will play a pivotal part in designing, developing, and maintaining the data and analytics stack for our GTM team. This individual will be directly responsible for supporting the growth and scalability of our GTM organization through standardization and automation of GTM data, and will play a critical role in building our data infrastructure from the ground up to deliver consumable and actionable insights to the organization.
Why should you want to work at Kong?  
Market Opportunity - We are on a quest to build a $10b+ software company over the next few years and need YOUR help!Why APIs Matter? APIs have been enabling innovation for decades!Strong VC team, Series D, strong year over year revenue growth!
Technical Leadership - We are recognized as the leader in innovation in the connectivity space.Marco, our CTO/co-founder - “We are the Cisco of L4 and L7” - CUBE Conversation, March 2021We are the leading innovator in the connectivity space!
Amazing Team & Culture - Come be a "Konger" and find out what we mean.Great Place to Work Certified in 2020 & 2021Kong employees exemplify our culture at our 2022 Sales Kickoff2022 Forbes Cloud 100 Honoree
Building Great Products - Learn why the world's largest companies love our tech!Kong Named a Leader in the 2021 Gartner Magic QuadrantOver 250m+ downloads of our open source API gateway!  Over 40k+ stars on Github between Kong API and Kong Insomnia!

Responsibilities:

• Design, develop, and maintain the data and analytics stack for the GTM team, ensuring accurate and timely data availability for business decision-making.
• Collaborate with cross-functional teams to define requirements and implement data solutions that support GTM initiatives, including sales, marketing, customer success, and professional services.
• Manage data integration, transformation, and ingestion processes using tools such as Snowflake, DBT, and Fivetran.
• Own core data pipelines and tables to support analytics needs across the organization.
• Leverage SQL and Python skills to perform advanced data analysis and generate reports to support data-driven decisions.
• Ensure data quality, integrity, and compliance with relevant data governance policies and standards.
• Stay current with industry best practices and emerging technologies in data engineering, analytics, and business intelligence, making recommendations for continuous improvement.
• Collaborate cross-functionally with different departments such as Product, Finance, and HR to understand and source clean and accurate data from all CRM, HRIS, and other business systems into a single source of truth.
• Develop and maintain core reporting assets to provide actionable insights for the GTM team and executive leadership.
• Develop and maintain data analytics tools and dashboards to provide insights into key revenue metrics, such as pipeline changes, AE hiring & attrition, customer churn, and sales productivity.
• Implement data quality controls and processes to ensure accuracy, completeness, and consistency of data across revenue systems.
• Improve our ability to identify patterns in our data by implementing tables to maintain history, comparing different metrics against both end-of-period objectives and pacing goals.
• Provide guidance and training to team members on data engineering and analytics best practices, data visualization tools, and SQL.
• And any additional tasks required by manager

Qualifications: