Full-Time

Business Intelligence Engineer

Revenue Operations

Updated on 5/17/2024

Kong

Kong

501-1,000 employees

Cloud native API platform for scalability


Senior

Remote in USA

Required Skills
Python
Sales
Communications
SQL
Human Resources Information System (HRIS)
Tableau
Salesforce
Marketing
Looker
Data Analysis
Snowflake
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.
  • 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.
  • Experience with the GTM tech stack, including Salesforce, Clari, Marketo, and Leandata that drive GTM productivity
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 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

Kong Inc.

Company Stage

Series D

Total Funding

$170.2M

Headquarters

San Francisco, California

Founded

2017

Growth & Insights
Headcount

6 month growth

5%

1 year growth

9%

2 year growth

20%

Benefits

Weekly Donut Chats

Home Office Stipend

Flexible Time Off & Dedicated Unplug Days

Virtual Events