Senior Analytics Engineer

About the role

In this role, you will be responsible for data pipelines into the Data Lake, data availability and quality of the Data Lake and creating reports and dashboards.You will be empowered to find opportunities to capture more data in pursuit of a higher degree of observability of the behavior of our users. You will engage with everyone from C-Suite / VPs to Account Executives and Support Engineers to understand needs and drive pipeline integrations and data availability to meet these needs.

What you'll be doing

Initially working cross functionally with product, engineering, marketing and pre-sales leadership you will:

• Engage with stakeholders to understand, document and prioritize data driven decision making needs.
• Collaborate cross functionally to deploy necessary tracking / analytics tools to support product usage telemetry data needs. 
• Create and maintain data pipelines adhering to semantic layer best practices for internal Data Lake.
• Build and maintain data pipelines to provide enriched telemetry data for anomaly detection use-cases.
• Configure, deploy and maintain integrations with popular tools such as GitHub and Slack. 
• Support pipeline development in response to internal data, analytics and requests required by the business.
• Establish, document, communicate dashboarding and reporting dimensions. 
• Seek opportunities for innovation to further empower our decision makers, mature our Lakehouse and drive the business. 
• Create Dashboards on product telemetry, user activity, pipeline health, documentation usage, etc.
• QA Dashboards and Reports against the raw data and partner with Data Lake owners to ensure accuracy.

What we're looking for

• Bachelors or Masters in Data Science, Computer Science, Math or equivalent
• At minimum 5 years of experience as an Analytics Engineer, Data Engineer, or similar role
• Expert in designing and implementing data pipelines using Python
• Highly skilled SQL expert with a clear understanding of window functions, cte’s, subqueries etc. 
• Basic understanding/familiarity of Iceberg, or existing knowledge of a similar datalake table format with a strong desire to learn about Iceberg
• Experience creating reports and dashboards using Tableau or equivalent tool
• Experience working with AWS, GCP or Azure cloud based storage
• Experience working with tools like FiveTran, Stitch or equivalent.
• Experience with product analytics data solutions like Intercom, Heap and Google Analytics.
• Strong familiarity with dbt
• Experience with ticketing systems (JIRA), communication tools (Slack), repository systems (GitHub). 
• Excellent project management skills with a proven track record of cross-functional impact.
• Interested and motivated to be part of a fast-moving startup with a fun and accomplished team

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