Product Data Analyst - Konnect Apps

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.

As an Analytics Engineer at Kong, you will be responsible for a combination of data engineering and product analytics tasks, contributing to the optimization of our data ecosystem. The successful candidate will work closely with cross-functional teams to design, develop, and maintain data pipelines, as well as perform in-depth analysis to derive actionable insights.

Key Responsibilities:

• Data Engineering:

  • Collaborate with stakeholders to understand data requirements and design and implement scalable data pipelines.

  • Develop and maintain ETL processes to ensure timely and accurate data availability for analytics purposes.

  • Optimize and troubleshoot existing data pipelines for performance and reliability.

• Product Analytics:

  • Partner with product teams to define and implement tracking mechanisms for key product metrics.

  • Analyze user behavior, product usage, and other relevant data to provide insights that drive product improvements.

  • Create and maintain dashboards and reports to communicate analytical findings to stakeholders.

• Data Quality and Governance:

  • Implement data quality checks and validation processes to ensure the accuracy and integrity of our data.

  • Contribute to the development and enforcement of data governance policies and best practices.

• Collaboration:

  • Work closely with data scientists, business analysts, and other stakeholders to understand their data needs and deliver solutions.

  • Collaborate with cross-functional teams to integrate analytics into product development processes.

• Technology Stack:

  • Utilize tools and technologies within the Kong data ecosystem, including Snowflake, DBT, Fivetran, etc.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

• 4-6 years of experience as an Analytics Engineer or similar role (data analyst, data scientist or data engineer).

• Strong proficiency in data engineering, ETL processes, and database management.

• Experience with product analytics, including defining and tracking relevant metrics.

• Proficiency in SQL, any scripting language (Python, R) and a data visualization tool like Tableau, or Power BI.

• Familiarity with DBT docs for data transformation.

Preferred Skills:

• Familiarity with Snowflake, and reverse ETL tools is a plus

• Experience in B2B (Business-to-Business) and/or SaaS business

If you are passionate about leveraging data to drive business impact, thrive in a collaborative environment, and have a strong technical background in both data engineering and product analytics, we encourage you to apply and join our innovative team at Kong.

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About Kong:

Kong Inc., a leading developer of cloud API technologies, is on a mission to enable companies around the world to become “API-first” and securely accelerate AI adoption. Kong helps organizations globally — from startups to Fortune 500 enterprises — unleash developer productivity, build securely, and accelerate time to market. For more information about Kong, please visit www.konghq.com or follow us on X @thekonginc.