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- Tasks: Transform raw data into actionable insights and build impactful dashboards.
- Company: Dynamic analytics firm in South Manchester with a hybrid work model.
- Benefits: Competitive salary, annual bonus, private medical insurance, and 25 days leave.
- Why this job: Be the bridge between data and decision-making, making a real impact.
- Qualifications: 2+ years in data roles, strong BI tool experience, and problem-solving mindset.
- Other info: Opportunity for international travel and excellent career growth.
The predicted salary is between 45000 - 55000 £ per year.
Overview
You will serve as the critical bridge between the raw data infrastructure and the strategic decisions that shape our clients’ business. While the Data Engineering team builds the pipelines, you will transform that data into trusted, well-modelled, and actionable insights. This is a high-visibility role where you will turn complex datasets into a reliable source of truth.
Responsibilities
- Data Modelling & Transformation: Own the analytics transformation layer, shaping raw data into clean, well-documented, and high-performance data models.
- Stakeholder Partnership: Serve as a bridge between business and technical teams. Partner closely with department leaders to define KPIs and implement the logic that brings them to life.
- Reporting & Visualization: Build and deliver intuitive, impactful dashboards, primarily in Power BI, that provide immediate, at-a-glance insights for the business.
- Data Quality & Governance: Implement and uphold strong data quality and governance practices, ensuring complete trust and confidence in all reporting.
Qualifications
- 2+ years in a data-focused role such as Analytics, Business Intelligence, or Data Analysis.
- Proven ability to write complex, efficient queries and design analytical data models (e.g., star schemas).
- Strong understanding of how the business currently uses spreadsheets, with the ability to bridge manual analysis and scalable BI solutions.
- Hands-on experience with BI tools such as Power BI (preferred), Tableau, Looker, or similar platforms.
- Exposure to cloud data platforms, with GCP (BigQuery) experience considered a strong plus.
- Able to clearly translate technical concepts into compelling insights for non-technical stakeholders.
- Naturally curious and solutions-oriented; you don’t just identify problems, you design and deliver improvements.
Additional Information
- Annual bonus scheme (up to 10%).
- Occasional international travel for company events (1–2 times per year).
- Private medical insurance.
- Life insurance.
- 25 days of annual leave + bank holidays.
Analytics Engineer in Wilmslow employer: Robert Walters UK
Contact Detail:
Robert Walters UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer in Wilmslow
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Analytics Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, dashboards, and any projects you've worked on. We want to see how you turn raw data into actionable insights, so make sure it’s easy to access and visually appealing.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the business side of things. We recommend practising common interview questions related to data modelling and stakeholder communication to really impress your potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Analytics Engineer in Wilmslow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Analytics Engineer. Highlight your experience with data modelling, transformation, and any BI tools you've used, especially Power BI. 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 bridge the gap between technical and business teams. Let us know how you’ve turned complex datasets into actionable insights in the past.
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Include links or descriptions of dashboards you've built or data models you've designed. We love seeing real examples of your work that demonstrate your analytical prowess.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Robert Walters UK
✨Know Your Data Models
Make sure you brush up on your data modelling skills before the interview. Be ready to discuss how you've transformed raw data into actionable insights in your previous roles. Highlight specific examples of data models you've designed, especially if they relate to star schemas.
✨Showcase Your BI Skills
Since Power BI is a key tool for this role, prepare to demonstrate your proficiency with it. Bring along examples of dashboards you've created and be ready to explain the thought process behind your design choices. This will show that you can deliver impactful visualisations that drive business decisions.
✨Bridge the Gap
Emphasise your ability to communicate complex technical concepts to non-technical stakeholders. Prepare a few scenarios where you've successfully partnered with different teams to define KPIs or implement data governance practices. This will showcase your stakeholder partnership skills.
✨Be Solutions-Oriented
During the interview, highlight your natural curiosity and problem-solving mindset. Share examples of challenges you've faced in data analysis and how you approached them. This will demonstrate that you're not just about identifying issues but also about designing and delivering effective solutions.
