Analytics Engineer - (Bangalore)

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.
• Proven experience as an Analytics Engineer or similar role with 5 + years experience.
• 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