Data Analytics Engineer - Product Analytics

London

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Checkout.com

Boost your acceptance rate, cut processing costs, fight fraud, and create extraordinary customer experiences with Checkout.com's payment solutions.

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We're Checkout.com 
Checkout.com is one of the most exciting and valuable fintechs in the world. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Binance and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.
We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re number 9 on the Forbes Cloud 100 list and on Glassdoor’s list of Top 10 fintechs to work for. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. So, join us to build tomorrow, today.
About the Role
You'll be joining our Product Analytics team, designing and building the Data Warehouse models, transformation pipelines, and Looker structures (explores, views, and dashboards) which will be used by the entire Product organisation across Checkout.com to gather insights and understand the performance of our products. You'll have ownership around the accuracy and consistency of data for reporting and analytics within the Product organisation.

Key Responsibilities:

  • Design and implement high-performance, reusable, and scalable data models for our data warehouse to ensure our end-users get consistent and reliable answers when running their own analyses.
  • Design and implement Looker structures (explores, views, etc) which will enable users across the organisation to self-serve data.
  • Work closely with data analysts and product teams to understand business requirements and provide data ready for analysis and reporting.
  • Write complex yet optimised data transformations in SQL using dbt.
  • Schedule data transformation and analysis pipelines using airflow.
  • 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.
  • Help interpret and migrate legacy SSRS reports to our data warehouse.
  • You'll be working with dbt, Looker, Snowflake, Apache Airflow, git, SQL Server, Python, Fivetran and AWS

About you:

  • 3+ years working experience as a data or software engineer in a fast-paced growing company.
  • Excellent SQL knowledge.
  • Strong hands-on data modeling and data warehousing skills 1+ year of experience using Looker / Tableau / PowerBI. 
  • Familiarity applying software engineering standard methodologies to analytics (e.g. version control, testing, and CI/CD).
  • Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure.
  • Experience with ELT and scheduling tools (e.g. Talend, Airflow). 
  • Familiarity with either finance, customer, marketing, and/or web analytics data.
  • Good attention to detail to highlight and address data quality issues.
  • A self-motivated, responsible individual who performs well both independently and as a team member.
  • Excellent time management and proactive problem-solving skills to meet critical deadlines
#LI-GW1
What we stand forAt Checkout.com, everything starts with our values, including the experience we offer our people. #AspireWe supercharge your professional growth with career development programs and leadership training. You can learn your way, with tailored pathways and online platforms. And be inspired at relevant conferences. #ExcelWe don't stop at 'good' here. We strive for excellence amongst our teams every day and recognize colleagues who take it to the next level through our quarterly peer-nominated Hero awards. #UniteWe're proud of our global connections and inclusive environment. So we champion this through our colleague-led community groups and celebrate many cultural events together. Want to see us in action? Take a peek inside here. More about Checkout.comWe empower businesses to adapt, innovate and thrive with the connected payments they deserve. Our technology makes payments seamless. We provide the fastest, most reliable payments in more than 150 currencies, with in-country acquiring, world-class fraud filters and reporting, through one API. And we can accept all major international credit and debit cards, as well as popular alternative and local payment methods. Checkout.com launched in 2012, and we now have a team of 1000 people across 17 international offices. To date, we’ve raised a total of $830 million, with our recent Series C valuing us at $15 billion. We believe in equal opportunitiesCheckout.com is an equal opportunities employer. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion, or belief. We make recruiting decisions based on your experience, skills and personality. We believe that employing a diverse workforce is the right thing to do and is central to our success.

Tags: Airflow APIs AWS Azure CI/CD Data Analytics Data Warehousing ELT Engineering Finance FiveTran GCP Git Google Cloud Looker Pipelines Power BI Python Snowflake SQL Tableau Talend Testing

Perks/benefits: Career development Conferences Flex hours Flex vacation Startup environment Team events

Region: Europe
Country: United Kingdom
Job stats:  2  0  0

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