Business Intelligence Engineer - Revenue Operations

April 17

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Kong Inc.

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The cloud connectivity company. Powering connections to build a reliable digital world.

API • APIs • web services • Cloud Services • big data

201 - 500

💰 $100M Series D on 2021-02

Description

• 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. • Leverage SQL and Python skillset to perform advanced data analysis and generate reports to support data-driven decisions. • 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 & maintain data analytics tools and dashboards to provide field insights into key revenue metrics, such as pipeline changes, AE hiring & attrition, customer churn, and sales productivity. • Influence Kong’s data pipeline foundations with the goal of consolidating business metrics, and creating foundational centralized dashboard hubs • Ensure data quality, integrity, and compliance with relevant data governance policies and standards. • 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. • Stay current with industry best practices and emerging technologies in data engineering, analytics, and business intelligence, making recommendations for continuous improvement. • And any additional tasks required by manager

Requirements

• 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. • High proficiency in SQL, Python, and data visualization tools, such as Tableau, Domo, Looker, or similar.

Benefits

• Market Opportunity - We are on a quest to build a $10b+ software company over the next few years and need YOUR help! • 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. • Great Place to Work Certified in 2020 & 2021 • Amazing Team & Culture - Come be a "Konger" and find out what we mean. • Building Great Products - Learn why the world's largest companies love our tech!