At a Glance
- Tasks: Shape data models and enhance data quality for impactful decision-making.
- Company: Leading insurance client with a focus on innovation and collaboration.
- Benefits: Competitive daily rate, flexible work schedule, and a dynamic team environment.
- Other info: Inclusive workplace that values diversity and offers career growth opportunities.
- Why this job: Join a cutting-edge project and empower stakeholders with data-driven insights.
- Qualifications: Experience with dbt, Python, SQL, and strong communication skills.
£650-700/day overall assignment rate to umbrella
6-month contract
2x days a week onsite in London
Working with a leading insurance client who are looking for an Analytics Engineer contractor - the requirement is for someone to play a key role in shaping data models (DBT), enhancing data quality and empowering stakeholders to make data-driven decisions.
Key Responsibilities:
- Develop, test, and maintain analytics models using dbt core
- Create dbt Tests and Documentation
- Utilise Git-Based Workflows
- Work closely with business analysts to translate analytical requirements into efficient and scalable data models
- On-Premises MSSQL Integration
- Python Development
- Champion Analytics Engineering Best Practices
- Continuous Improvement
Key Skills:
- Proven experience building and maintaining analytics models with dbt core
- Strong understanding of and hands-on ability to create dbt tests and maintain dbt documentation
- Proficiency with Git and collaborative development workflows (branching, pull requests, code review)
- Demonstrable experience working with Python for data engineering or analytics purposes
- Ability to partner with non-technical stakeholders to understand requirements and deliver actionable data solutions
- Solid SQL skills, with the ability to write complex queries and optimise for performance
- Familiarity with data warehousing concepts, dimensional modelling, and ETL/ELT processes
- Experience with data quality assurance, testing frameworks, and troubleshooting data issues
- Strong communication skills and the ability to document technical solutions clearly
Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives.
Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Analytics Engineer employer: Sanderson
Join a leading insurance client in London as an Analytics Engineer, where you will be part of a dynamic team dedicated to shaping data models and enhancing data quality. With a strong emphasis on collaboration and continuous improvement, the company fosters a diverse and inclusive work culture that values every employee's contribution. Enjoy competitive rates and the opportunity to work closely with stakeholders, empowering you to make a meaningful impact in the world of data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best analytics models and projects. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics scenarios and technical questions. Practice explaining your thought process clearly, especially when it comes to dbt and Python—this will help you shine during those crucial conversations.
✨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 love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with dbt, Python, and SQL. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects or achievements!
Show Your Work:When you submit your application, include examples of your analytics models or any documentation you've created. This gives us a clearer picture of your capabilities and how you approach problem-solving.
Be Clear and Concise:In your cover letter or application notes, keep it straightforward. We appreciate clarity, so explain how your background aligns with the key responsibilities listed in the job description without rambling on.
Apply Through Our Website:Don’t forget to apply 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 to do!
How to prepare for a job interview at Sanderson
✨Know Your DBT Inside Out
Make sure you’re well-versed in dbt core, as it’s a key part of the role. Brush up on how to develop, test, and maintain analytics models using dbt. Be ready to discuss your past experiences with dbt tests and documentation during the interview.
✨Show Off Your SQL Skills
Prepare to demonstrate your SQL prowess. Think of complex queries you've written and be ready to explain how you optimised them for performance. This will show that you can handle the data-heavy aspects of the job with ease.
✨Communicate Like a Pro
Since you'll be working closely with non-technical stakeholders, practice explaining technical concepts in simple terms. Highlight your ability to translate analytical requirements into actionable data solutions, as this is crucial for the role.
✨Familiarise Yourself with Git Workflows
Get comfortable with Git-based workflows, including branching, pull requests, and code reviews. Be prepared to discuss how you’ve used these tools in collaborative development settings, as they are essential for teamwork in this position.
