At a Glance
- Tasks: Design and maintain data models, manage data pipelines, and ensure data quality.
- Company: Join Deel, a leading SaaS company transforming global work with innovative solutions.
- Benefits: Enjoy competitive pay, stock grants, flexible working options, and diverse perks.
- Other info: Remote work culture with opportunities for continuous learning and career growth.
- Why this job: Make a real impact in a fast-growing company while developing your analytics expertise.
- Qualifications: 6+ years in data analytics, strong SQL skills, and experience with BI tools required.
The predicted salary is between 63000 - 77000 £ per year.
Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform.
With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 150+ countries—helping businesses scale smarter, faster, and more compliantly.
Among the largest globally distributed companies in the world, our team of 7,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers.
As the fastest-growing Software as a Service (Saa S) company in history, Deel is transforming how global talent connects with world-class companies – breaking down borders that have traditionally limited both hiring and career opportunities.
We're not just building software; In 2024 alone, we paid $11.2 billion to workers in nearly 100 currencies and provided healthcare and benefits to workers in 109 countries—ensuring people get paid and protected, no matter where they are.
With our momentum—backed by a $17.3 billion valuation and $1 B in Annual Recurring Revenue (ARR) in just over five years—you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work.
Design, develop, and maintain data models (e. g., in dbt) that align with the overall data architecture and business requirements.
Manage data pipelines end-to-end, from data extraction to transformation and loading, to provide timely and correct data for analysis.
Utilize complex SQL queries and macros to transform data efficiently, optimizing queries for performance as needed.
Incorporate data quality checks and cleansing routines to ensure datasets are reliable and accurate.
Work closely with data analysts and other analytics engineers to ensure consistency and accuracy in metrics and definitions across the team.
Bachelor's or Master's degree in a relevant field (e. g., Computer Science, Mathematics, Physics).
At least 6 years of experience in a similar data analytics engineering or BI development role.
Strong proficiency in SQL and experience with data modeling tools (such as dbt) and data warehousing concepts.
Hands-on experience with business intelligence platforms (e. g., building dashboards in Looker, Tableau, or similar).
Basic programming skills in Python or a similar language for data processing and automation.
Proven ability to handle multiple data projects, troubleshoot data issues, and meet deadlines.
Total Rewards Our workforce deserves fair and competitive pay that meets them where they are.
For commercial roles with commission eligibility, this figure represents On-Target Earnings (OTE), inclusive of base salary and target commission.
Some things you'll enjoy Stock grant opportunities dependent on your role, employment status and location Additional perks and benefits based on your employment status and country Optional flexible working office membership, with IWGAt Deel, we're an equal-opportunity employer that values diversity and positively encourage applications from suitably qualified and eligible candidates regardless of race, religion, sex, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, pregnancy or maternity or other applicable legally protected characteristics.
Deel welcomes persons with disabilities to apply to any of our open roles.
We will provide application and/or interview accommodations on request throughout the recruitment, selection and assessment process for applicants with disabilities or other needs.
If you require application and/or interview accommodations, please inform our Talent Acquisition Team via email (recruiting@deel.
This application process may utilise Automated Employment Decision Tools (AEDT) and AI systems to assist in evaluating candidates based on experience level, technical skills and qualifications.
This processing is conducted in compliance with applicable Data Protection, AI Governance and Labour Laws.
Your personal data is not used to train AI models.
For more information on how we process your personal data, please see our Recruitment Privacy Policy.
For NYC Residents: In accordance with NYC Local Law 144, an independent bias audit has been conducted on AEDT
Senior Analytics Engineer (Remote Working) employer: Deel
Deel is an exceptional employer that champions a dynamic and inclusive work culture, offering remote engineers the opportunity to thrive in a globally distributed team of 7,000 professionals across 100 countries. With a strong focus on employee growth, competitive compensation, and unique benefits such as stock grants and flexible work arrangements, Deel empowers its workforce to make a meaningful impact while enjoying the freedom of remote work. Join us in transforming global talent connections and experience a workplace that values innovation and diversity.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer (Remote Working)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Deel!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Analytics Engineer (Remote Working) at Deel.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Deel.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analytics Engineer (Remote Working) at Deel, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Analytics Engineer (Remote Working)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Deel, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Deel. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Deel
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Deel!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
