Product Analytics Engineer

Are you ready to power the World's connections?
Kong is THE cloud native API platform with the fastest, most adopted API gateway in the world (over 300m downloads!). Loved by developers and trusted with enterprises’ most critical traffic volumes, Kong helps startups and Fortune 500 companies build with confidence – allowing them to bring solutions to market faster with API and service connectivity that scales easily and securely.
83% of web traffic today is API calls! APIs are the connective tissue of the cloud and the underlying technology that allows software to talk and interact with one another. Therefore, we believe that APIs act as the nervous system of the cloud. Our audacious mission is to build the nervous system that will safely and reliably connect all of humankind!
As an Analytics Engineer at Kong, you will be responsible for a combination of data engineering and product analytics tasks, contributing to the optimisation 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.

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. .

What we look for:

• 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).
• Experience with product analytics, including defining and tracking relevant metrics.
• Strong proficiency in data engineering, ETL processes, and database management.
• 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.