Business Intelligence Engineer, Kong

Revenue Operations

$145-165k

Salary dependent on location

SQL
Python
Tableau
Looker
Salesforce
Domo
Snowflake
Marketo
dbt
Senior level
Remote in US
Kong

Microservice API gateway

Job no longer available

Kong

Microservice API gateway

501-1000 employees

B2BEnterpriseAPICloud Computing

Job no longer available

$145-165k

Salary dependent on location

SQL
Python
Tableau
Looker
Salesforce
Domo
Snowflake
Marketo
dbt
Senior level
Remote in US

501-1000 employees

B2BEnterpriseAPICloud Computing

Company mission

To build the nervous system that will safely and reliably connect all of humankind!

Role

Who you are

  • 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
  • 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
  • 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
  • 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

What the job involves

  • Kong is seeking an experienced Business Intelligence Engineer to join our Revenue Operations team
  • 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
  • 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

Otta's take

Sam Franklin headshot

Sam Franklin

CEO of Otta

Kong provides a cutting-edge API and service lifecycle management platform tailored for modern architectures, such as microservices, containers, cloud, and serverless environments. With a focus on flexibility, scalability, speed, and performance, Kong allows developers and Global 5000 enterprises to securely connect and orchestrate microservice APIs for today's sophisticated applications.

The core products offered by Kong include Kong, an open-source API and Microservices management solution Galileo, a platform for API analytics and debugging; Gelato, a platform for creating developed portals for PIs and Microservices; and API Marketplace, a hub for discovering and publishing cloud APIs. Additionally, the recent introduction of a new collection of AI plug-ins in Kong Gateway 3.6 enhances the platform's capabilities further, reinforcing its commitment to innovation and advancement.

In pursuit of growth, the company is prioritizing expanding its marketing efforts, bolstering its customer service team, and accelerating product development. By focusing on these key areas, Kong aims to continue providing unparalleled solutions and support to its ever-expanding user base in the rapidly evolving landscape of modern application development.

Insights

Led by a woman
Top investors

Some candidates hear
back within 2 weeks

23% female employees

2% employee growth in 12 months

Company

Funding (last 2 of 6 rounds)

Feb 2021

$100m

SERIES D

Mar 2019

$43m

SERIES C

Total funding: $169.1m

Company benefits

  • Flexible time off: Take time to take care of yourself and the things that matter most
  • Stock options: We want you to share in our success. That's why stock options are offered to most Kongers
  • U-First Fridays: Get 4 hours a month for continuous learning with a book, podcast, or course of your choice
  • Virtual events: Stay connected with Donut chats, trivia, fitness challenges, guided meditations, and more
  • Dedicated unplug days: Silence those notifications. Enjoy some well-deserved long weekend where the entire team unplugs
  • Home office stipend: Build a home office environment tailored to support your productivity

Company values

  • Global: Be inclusive. We work together from anywhere to achieve our common goals. Our differences make us stronger
  • Real: Be authentic. We are genuine, principled and confident without arrogance. Show respect and kindness, especially in tough moments
  • Unstoppable: Be relentlessly resourceful. We work with purpose, obsession and grit. It takes muscle to do hard things and doing hard things build muscle
  • Champions: Be customer obsessed. We care. Customers are everything, we put them at the center of everything you do. We are all empowered to make an impact
  • Explorers: Be curious. We value ideas over hierarchy. Never accept the status quo. We make bold bets, fail, and learn everyday. There is always a way
  • Own it: Be an owner. We are drivers not passengers and own the quality and outcomes of our work

Company HQ

The East Cut, San Francisco, CA

Founders

Previously founded Mashape API Marketplace. Before Mashape, Augusto was an SF homeless immigrant from Italy.

Janet Phillips

(Vice President of People)

Previously Director at SonicWALL for 5 years and Senior Director at Symantec for 7 years.

Previously co-founded MemboxX, an online service for storing documents and small pieces of personal data.

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