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For Companies At a Glance
- Tasks: Help us understand data better and build robust data pipelines.
- Company: Join a dynamic team at a forward-thinking analytics company.
- Benefits: Flexible hours, 25+ days holiday, hybrid work, and health coverage.
- Why this job: Make a real impact by driving insights from data and collaborating with experts.
- Qualifications: Strong SQL skills and experience in building data pipelines.
- Other info: Enjoy free breakfast, charity days, and an award-winning wellbeing programme.
The predicted salary is between 36000 - 60000 £ per year.
The Role
We are looking for ambitious and curious people who can help us understand our data better, contribute to building robust data pipelines and help model our data so that stakeholders and team members can extract better insights from it. You will be an integral part of the Data team, building and developing the tooling and pipelines that form our data ingestion and modelling machine for driving forward our revenue.
What We're Offering You
- Flexible hours and summer hours
- Hybrid working
- Competitive holiday benefits - 25 days a year paid holiday, plus 8 bank holidays (increases 1 day a year up to 30 days)
- Closed for Christmas holidays
- Work from anywhere for 2 weeks a year
- Life Assurance and Income Protection to protect your loved ones
- Benefits allowance for health, dental, and vision coverage
- Defined Contribution Pension and Salary Sacrifice Scheme
- Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families
- Family Forward support for our MVF parents and their mini-mes
- Free breakfast when in the office
- 2 charity days a year
Responsibilities
- Ability to communicate technical information to both technical and business audiences
- Perform complex data analysis using SQL
- Build and maintain well-documented data pipelines
- Partner with Senior Analytics Engineers, Data Scientists, Product Managers and Data Engineers to deliver robust data products
- Create dashboards and visualisations using BI tools
- Provide support to stakeholders and junior team members
Requirements
- You write great SQL
- Demonstrable experience of building data pipelines
- Clear ability to prioritise tasks and drive them through to completion
- Experience working with BI tools
- Experience working with dbt or other data transformation tools
Nice to have
- Familiarity with software engineering, i.e. comfortable with git and terminal
- An understanding of data modelling & data architecture
- Specific tool experience, e.g. Snowflake, Looker
- Python knowledge
Please note: We know that no candidate will be the perfect match for all we've listed in this posting, so we’d encourage you to apply if you feel you're close to the brief but not an exact match.
Analytics Engineer employer: MVF
Contact Detail:
MVF Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. Ask them about their experiences and share your passion for data – it could lead to a referral!
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL skills and data pipeline knowledge. We recommend practising common interview questions and even doing mock interviews with friends to build confidence.
✨Tip Number 3
Showcase your projects! If you've built any data pipelines or dashboards, make sure to have them ready to discuss. We love seeing real examples of your work that demonstrate your skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for curious minds like yours!
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Show Your SQL Skills: Make sure to highlight your SQL experience in your application. We want to see how you've used it to perform complex data analysis and build data pipelines. Don't be shy about sharing specific examples!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand. Remember, you’ll need to communicate technical info to both techies and non-techies!
Tailor Your Application: Take a moment to customise your application for the Analytics Engineer role. Mention any relevant experience with BI tools or data transformation tools like dbt. This shows us you're genuinely interested and have done your homework!
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 don’t miss out on any important updates. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at MVF
✨Know Your SQL Inside Out
Since the role requires you to write great SQL, make sure you brush up on your SQL skills before the interview. Be prepared to discuss your past experiences with SQL and how you've used it to perform complex data analysis.
✨Showcase Your Data Pipeline Experience
Highlight any experience you have in building and maintaining data pipelines. Be ready to explain the tools and processes you've used, and how they contributed to delivering robust data products.
✨Communicate Like a Pro
This role involves communicating technical information to both technical and business audiences. Practice explaining complex concepts in simple terms, as this will demonstrate your ability to bridge the gap between data and stakeholders.
✨Familiarise Yourself with BI Tools
Since you'll be creating dashboards and visualisations, make sure you're comfortable with BI tools. If you have experience with specific tools like Looker, be prepared to discuss how you've used them to provide insights.
