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- Tasks: Join us as a Product Analytics Engineer to enhance user experience through data insights.
- Company: Be part of a dynamic tech organization on an exciting mission.
- Benefits: Enjoy hybrid working and a permanent position in London.
- Why this job: Make a real impact by driving product analytics initiatives and collaborating with a talented team.
- Qualifications: Proficiency in DBT, SQL, and Python is a must; experience with Snowflake is a plus.
- Other info: Reach out via email or LinkedIn if you're interested!
The predicted salary is between 43200 - 72000 £ per year.
Product Analytics Engineer:
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.
Product Analytics Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Analytics Engineer
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, like DBT, SQL, and Python. Having hands-on experience or projects that showcase your skills with these technologies can really set you apart from other candidates.
✨Tip Number 2
Highlight any previous experience you have with data pipelines and analytics. Be ready to discuss how you've operationalized analytics in past roles, as this will demonstrate your ability to contribute effectively to the team.
✨Tip Number 3
If you have experience with CI/CD pipelines or real-time streaming using Kafka, make sure to mention it during your conversations. These skills are highly valued for this position and can give you an edge over other applicants.
✨Tip Number 4
Network with current employees or professionals in the field through LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be beneficial during interviews.
We think you need these skills to ace Product Analytics Engineer
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Product Analytics Engineer position. Make sure you understand the key responsibilities and requirements, especially the technical skills like DBT, SQL, and Python.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job description. Emphasize your proficiency in DBT, SQL, and Python, as well as any experience with Snowflake or GCP.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for product analytics and your understanding of how data can enhance user experience. Mention specific projects or experiences that demonstrate your ability to operationalize analytics and collaborate with teams.
Highlight Relevant Projects: If you have worked on projects involving CI/CD pipelines, Kafka, or real-time streaming, make sure to include these in your application. Providing concrete examples will help illustrate your expertise and make your application stand out.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in DBT, SQL, and Python. Bring examples of past projects where you utilized these tools, especially in building data pipelines or dashboards.
✨Understand the Product Analytics Landscape
Familiarize yourself with the key concepts of product analytics and how they enhance user experience. Be ready to explain how you would measure the value of data points for a product team.
✨Collaboration is Key
Highlight your experience working with cross-functional teams, particularly with Data Engineering. Discuss how you’ve collaborated to translate product needs into actionable insights.
✨Demonstrate CI/CD Knowledge
Since familiarity with CI/CD pipelines is a plus, be prepared to discuss any relevant experience you have. Explain how you’ve implemented or improved deployment processes in previous roles.
