Analytics Engineer
Chennai
Pleo
Power to your People. Mit Pleos smarten Firmenkarten & unserer Komplettlösung für alle Unternehmensausgaben. Vereinfachen Sie Ihre Buchhaltung. Pleo it.Pleo is hiring an Analytics Engineer for our Customer Analytics Team in the Revenue Operations Domain to help take us to the next level!
Discover Data & Analytics at Pleo
The Data & Analytics organisation at Pleo shares a vision to stop the guessing game and unlock growth for Pleo 🔓 This means you’ll be focussing a lot of attention on data culture, strategy and empowerment of our stakeholders and deal with a wide variety of data and insights across Pleo.
At Pleo, our 40+ talented Data & Analytics professionals are on a mission to demystify data and drive company growth. 🔓 We're all about owning insights and fostering a culture of data literacy, shaping Pleo’s data strategy to empower stakeholders across the board.
- We're a diverse team of data & analytics engineers, analysts, and scientists, utilizing cutting-edge tools like Looker, BigQuery, dbt, and more.
- Our work spans the breadth of Pleo's operations, from platform intricacies to CRM data, financial records, and beyond.
The Cashflow Domain
At the highest level, the mission of the Analytics Teams in the Customer Acquisition & Growth organisation is to support senior leadership to take data-inspired actions and advance data literacy within the organisation. The Analytics Engineer in this team is responsible for delivering scalable and sustainable data models that enhance analytics capabilities, ensure KPI data integrity and streamline reporting data pipelines.
You’ll thrive in this role if you 🚀
- Are skilled in SQL, dbt, and data modelling.
- Are passionate about using modern data tools like dbt, Looker and Bigquery.
- Like to be involved in both engineering excellent products and understanding business strategy and logic.
- Find yourself thinking about how to make processes more efficient, and how to remove technical debt.
- Enjoy solving complex problems like how to unify complex datasets in an automated, scalable and business-friendly way.
- Love to grow your own technical skills, and help others do the same.
Your responsibilities
- Collaborate with the Analytics Teams in the Customer Acquisition & Growth organisation but also with Analytics Engineers in the Analytics Empowerment team to design and build scalable, coherent and performant data models in dbt.
- Collaborate closely with analysts in the Customer Analytics team on translating data analysis requirements and business rules into technical specifications and model design.
- Ensure that our final marts layer provides business-friendly datasets that power our data exploration tools, and empower end users to answer their own questions.
- Provide guidance and promote best practices in technical aspects of our data exploration tools, for example best practices around Lookml in Looker.
- Create processes and guidance to make sure our data models are well tested and documented so that the resulting datasets are clean, accurate and easily consumable.
- Align model design across teams and domains to build models that will act as the single source of truth.
- Collaborate with data engineers to build and maintain tools / frameworks to support how we track and improve data quality, metric definitions and data lineage.
- Identify technical debt in our analytics and reporting tooling and processes, and make suggestions for improvements.
- Set standards and promote best practices for analytics engineering such as version control, continuous integration, and automated testing.
- Write high-quality production code with an eye towards performance, scalability and maintainability.
What your colleagues say 🤩
- Work in English with ease (it's our company language)
- Bring a solution-centric mindset
- Are a continuous learner & systematic thinker
- Are a person they would also enjoy having a coffee with (virtual or not)
Show me the benefits!
- Your own Pleo card (no more out-of-pocket spending!)
- Lunch is on us - with catering in our Copenhagen and London offices or a monthly lunch allowance paid directly together with your salary in other markets 🍜
- Private health insurance to ensure you’re fit in body and mind to do your best work
- 25 days of holiday + your public holidays
- For this role you are welcome to work from home, or come one to our available offices
- Option to purchase 5 additional days of holiday through a salary sacrifice
- Wellbeing days - fully paid days off designed for a slower pace, allowing you to take time to recharge and prioritise self-care
- We’re trialling MyndUp to give our employees access to free mental health and wellbeing support with great success so far ❤️🩹
- Access to LinkedIn Learning - acquire new skills, stay abreast of industry trends and fuel your personal and professional development continuously
- Paid parental leave - we want to make sure that we're supportive of families and help you feel that you don't have to compromise your family due to work 👶
- All of us have a stake in Pleo’s success - ask us about our equity grant scheme
Ready to join us in shaping the future of fintech? Apply now and let’s make waves together! 🌊
Why join us?
Working at Pleo means you're working on something very exciting: the future of work. Our mission is to help every company go beyond the books. Pleo itself means ‘more than you’d expect’, and it’s been the secret to our success over the last 8 years. So it’s only fitting that we’d pass this philosophy onto our customers to help them make the most of their finances.
We think company spending should be delegated to all employees and teams, that it should be as automated as possible, and that it should drive a culture of responsible spending. Finance teams shouldn’t be siloed from the rest of the organisation – they should work in unity with marketing, sales, IT and everyone else.
Speaking of working in unity, our values tell the story of how we work at Pleo. We have four core values, the first of which is ‘champion the customer’, which means we address real pain points that businesses face. Next up is ‘succeed as a team’, which highlights how our strength lies in our diversity and trust in each other. We also ‘make it happen’ by taking bold decisions and following through to deliver results. Last but not least, we ‘build to scale’, creating lasting solutions that address today’s challenges and anticipate tomorrow’s needs.
So, in a nutshell, that's Pleo. Today we are a 850+ team, from over 100 nations, sitting in our Copenhagen HQ, London, Stockholm, Berlin, Madrid, Montreal and Lisbon offices —and quite a few full-time remotes in 35 other countries! Being HQ'd out of Copenhagen means we're inspired by things like a good work-life balance. If you don't work in the office with us, we'll help you set up the best remote setup possible and make sure you still have time to connect with your team.
About your application
- Please submit your application in English; it’s our company language so you’ll be speaking lots of it if you join 💕
- We treat all candidates equally: If you are interested please apply through our application system - any correspondence should come from there! Our lovely support isn't able to pass on any calls/ emails our way - and this makes sure that the candidate experience is smooth and fair to everyone 😊
- We’re on a mission to make everyone feel valued at work. That’s only achievable if our team reflects the diversity of the world around us - and that starts with you, hitting apply, even if you are worried you might not tick all the boxes! We embrace and encourage people from all backgrounds to apply - regardless of race/ethnicity, colour, religion, nationality, gender, sex, sexual orientation, age, marital status, disability, neurodiversity, socio-economic status, culture or beliefs.
- When you submit an application we process your personal data as a data processor. Find out more about how your data is used in the FAQs section at the bottom of our jobs page.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery Data analysis Data pipelines Data quality Data strategy dbt Engineering Finance FinTech Looker LookML Model design Pipelines SQL Testing
Perks/benefits: Career development Equity Health care Home office stipend Insurance Parental leave Startup environment Wellness
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