Senior Data Analytics Engineer
Senior Data Analytics Engineer
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Job Description
The role
By joining the Product Analytics team you will be responsible for enabling key insights on how products are performing and establishing a single source of truth for North Star and tracking metrics. You will work closely with product managers and product data scientists to shape the products evolution at Checkout.
Youll have the opportunity to build new data products and introduce step changes in how we view analytics for these critical areas. Youll have endtoend ownership of multiple data products from design to implementation and operationalizing them
Hybrid Working Model: All of our offices globally are onsite 3 times per week (Tuesday Wednesday and Thursday). Weve worked towards enabling teams to work collaboratively in the same space while also being able to partner with colleagues globally. During your days at the office we offer amazing snacks breakfast and lunch options in all of our locations.
How youll make an impact
- Design and implement highperformance reusable and scalable data models for our data warehouse using dbt and Snowflake
- Design and implement Looker structures (explores views etc) which will enable users across the organization to selfserve analytics
- Work closely with data analysts and business teams to understand business requirements and provide data ready for analysis and reporting
- Continuously discover transform test deploy and document data sources and data models
- Apply help define and champion data warehouse governance: data quality testing documentation coding best practices and peer reviews
- Take initiative to improve and optimise analytics engineering workflows and platforms
Qualifications :
What were looking for
- Proven delivery experience as a data business intelligence or analytics engineer
- Handson proven data modeling and data warehousing skills demonstrated in largescale data environments
- Proven experience in software development lifecycle in analytics (e.g. version control testing and CI/CD)
- Excellent SQL and data transformation skills (e.g. ideally proficient in dbt or similar)
- Familiarity with at least one of these Cloud technologies: Snowflake AWS Google Cloud Microsoft Azure
- Passionate about sales finance customer marketing and/or product analytics data
- Good attention to detail to highlight and address data quality issues
- Excellent time management and proactive problemsolving skills
Additional Information :
Apply without meeting all requirements statement
If you dont meet all the requirements but think you might still be right for the role please apply anyway. Were always keen to speak to people who connect with our mission and values.
We believe in equal opportunities
We work as one team. Wherever you come from. However you identify. And whichever payment method you use.
Our clients come from all over the world and so do we. Hiring hardworking people and giving them a community to thrive in is critical to our success.
When you join our team well empower you to unlock your potential so you can do your best work. Wed love to hear how you think you could make a difference here with us.
We want to set you up for success and make our process as accessible as possible. So let us know in your application or tell your recruiter directly if you need anything to make your experience or working environment more comfortable. Well be happy to support you.
Take a peek inside life at Checkout.com via
- Our Culture video
- Our careers page
- Our LinkedIn Life pages bit.ly/3OaoN1U
- Our Instagram
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
