Product Analytics Engineer:
A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully.
My client, a dynamic tech organization, is on an exciting mission to hire a Product Analytics Engineer to join their team. This is a crucial role that will support the development of a customer data platform and drive product analytics initiatives. This is a permanent position based in London and is hybrid working.
Responsibilities:
* Measure the value of relevant data points for the product team, with a particular focus on enhancing user experience.
* Operationalize analytics by establishing systems and processes to regularly collect and analyse data.
* Collaborate with the central Data Engineering team to create dashboards that translate the product team's needs into actionable data insights.
* Build high-quality data pipelines using DBT and Python.
* Utilize SQL for data manipulation and analysis.
* Contribute to the ongoing development of the data warehouse in Snowflake.
* Implement CI/CD pipelines to streamline deployment processes.
Requirements:
* Proficiency in DBT, SQL, and Python.
* Proven experience as an Analytics Engineer.
* Experience with Snowflake, GCP, Redshift or BigQuery.
What will make you stand out:
* Familiarity with CI/CD pipelines and attribution models.
* Experience with Kafka for real-time streaming and product analytics.
If you are interested, please apply! To follow up please email or message me on LinkedIn.