Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Shape and scale our analytics ecosystem by integrating and modelling data for impactful insights.
- Company: Join a dynamic team at a forward-thinking company focused on data-driven decisions.
- Benefits: Enjoy remote work, private health insurance, stock options, and a wellness reimbursement.
- Why this job: Make a real impact with your data skills while enjoying a flexible work environment.
- Qualifications: 4-5 years in analytics roles, strong SQL skills, and experience with Tableau required.
- Other info: 33 paid days off, annual compensation review, and personal development budget for growth.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for an Analytics Engineer to join our data team and help shape and scale our analytics ecosystem. You will sit at the intersection of data engineering and business intelligence, modelling and integrating data from multiple sources into our data lake so it is accessible, reliable, and ready for advanced analysis. You will turn complex datasets into clear, actionable insights, showcased in aesthetic, user-friendly Tableau dashboards and other reporting services that empower teams to make impactful decisions. This is a remote-first role, open to candidates who reside in the UK and are eligible to work there full-time.
Responsibilities
- Integrate and model data from multiple sources in the company's data lake to enable advanced analysis and accurate reporting.
- Develop scalable and robust data solutions, including DAGs, documentation, and data structures such as dimensions, facts, and aggregations.
- Ensure data accuracy, quality, and validity across processes and outputs.
- Build and maintain reliable, business entity-centered models and data marts that support decision making.
- Design and deliver clear, aesthetic, and user-friendly dashboards in Tableau.
- Provide actionable, data-driven insights to Tebex stakeholders to drive business growth.
- Collaborate closely with teams across Tebex to understand data needs and deliver effective solutions.
- Promote and support a data-driven culture, empowering teams to explore and leverage data effectively.
Requirements
- 4-5 years of experience as an Analytics Engineer, BI Analyst, or Data Engineer with hands-on work building scalable data solutions.
- Proven expertise in SQL, including advanced queries, optimisation, and data modelling, in a cloud data warehouse environment, preferably Snowflake.
- Strong experience with ETL/ELT processes and orchestration tools such as Airflow or similar for DAGs.
- Familiarity with data warehouse and data lake architectures, including fact and dimension tables, aggregations, and entity-based models.
- Solid experience with visualisation and reporting tools: Tableau is required and Redash is a plus.
- Ability to translate complex datasets into clear, actionable business insights and communicate them effectively to stakeholders.
- Passion for data quality, accuracy, and validation with strong attention to detail.
- Experience working cross-functionally to understand business needs and deliver data-driven solutions.
- Excellent analytical skills, curiosity, and the drive to champion a data-driven culture.
- Strong English communication skills, both written and verbal.
- Proficiency in dual-wielding battle axes.
Bonus Points
- Hands-on experience developing data pipelines in Rivery.
- Experience with predictive analytics methods.
- Experience with Redash.
- A passion for gaming.
What you will get:
- Remote Work: Work from home or anywhere that works for you.
- Private Health Insurance: Comprehensive coverage for your peace of mind.
- Stock Options: Be part of our shared success.
- Wellness Reimbursement: Support for mental health therapy, fitness activities, classes, and related equipment.
- Gaming Allowance: A dedicated budget for games and gaming equipment.
- Vacation & Holidays: 33 paid days off per year (including UK bank holidays).
- Annual Compensation Review: Ensuring your package remains competitive and rewarding.
- Personal Development Budget: For courses, training, and professional growth.
Analytics Engineer in London employer: Overwolf
Contact Detail:
Overwolf Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. The more connections we make, the better our chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with data visualisations and analytics projects. This gives us a chance to demonstrate our expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to analytics engineering. We should be ready to discuss our past experiences and how they relate to the role at hand.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in being part of our team.
We think you need these skills to ace Analytics Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Analytics Engineer role. Highlight your experience with SQL, data modelling, and any relevant tools like Tableau. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our team. Keep it engaging and make sure to mention your experience with data-driven insights.
Showcase Your Projects: If you've worked on any cool projects involving data integration or visualisation, don’t hesitate to share them! We love seeing real examples of your work that demonstrate your skills and creativity.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Overwolf
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data integration and modelling. Be ready to discuss specific challenges you faced and how you overcame them, especially in relation to SQL and ETL processes. This will show your expertise and passion for data quality.
✨Showcase Your Visualisation Skills
Prepare a portfolio of Tableau dashboards or any other visualisations you've created. During the interview, walk the interviewer through your thought process on how you turned complex datasets into user-friendly insights. This will demonstrate your ability to communicate data effectively.
✨Understand the Company’s Data Needs
Research the company and its data ecosystem. Familiarise yourself with their products and how they leverage data for decision-making. This will help you tailor your responses to show how you can meet their specific analytics needs and contribute to their data-driven culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current data challenges and future goals. This not only shows your interest in the role but also your proactive approach to understanding how you can add value. It’s a great way to engage with the interviewers and leave a lasting impression.
