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.
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:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
- 5+ years of experience in data engineering, data analytics, or related fields, preferably supporting GTM organizations.
- Strong understanding of SaaS sales metrics, tendencies, and general business operations.
- Experience with cloud-based data warehousing, transformation, and ETL tools, such as Snowflake, Fivetran, and DBT.
- Expertise in SQL, Python, and data visualization tools, such as Tableau, Looker, Sigma, or similar.
- Strong attention to detail and drive to build.
- Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and senior management.
- Ability to manage multiple projects at once and prioritize based on impact and the business’s needs.
- Strong problem-solving skills and ability to identify opportunities for process improvements and automation.
- Understanding and experience with SaaS model companies and large global sales teams.
- Experience with the GTM tech stack, including Salesforce, Clari, Marketo, and Leandata that drive GTM productivity
- Excellent cross-functional collaboration skills, working with multiple departments and individuals to reach common solutions that serve revenue growth.
Kong has different base pay ranges for different work locations within the United States, which allows us to pay employees competitively and consistently in different geographic markets. Compensation varies depending on a wide array of factors, including but not limited to specific candidate location, role, skill set and level of experience. Certain roles are eligible for additional rewards including sales incentives depending on the terms of the applicable plan and role. Benefits may vary depending on location. US based employees are typically offered access to healthcare benefits, a 401(k) plan, short and long term disability benefits, basic life and AD&D insurance, among others. The typical base pay range for this role in the US is $157,200 – 200,000. There is currently NO bonus for this role.