At a Glance
- Tasks: Design and develop scalable reporting solutions using Power BI, SQL, and Snowflake.
- Company: Join a leading organisation transforming data analytics in a hybrid work environment.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on modern data architecture and best practices.
- Why this job: Make a real impact by driving data innovation and insights across the business.
- Qualifications: Experience with Power BI, SQL, and cloud data solutions is essential.
The predicted salary is between 63000 - 77000 £ per year.
- Warwick (Hybrid - 3 days onsite per week)
- We are seeking an experienced
Reporting & Analytics Engineer to join a high-profile programme delivering modern data and analytics solutions. This is an excellent opportunity for a talented data professional with strong expertise in
Power BI, Snowflake, SQL, Azure Data Factory and Data Ops. live to play a key role in transforming enterprise reporting and analytics capabilities.
The Role
As a Reporting & Analytics Engineer, you will be responsible for designing, developing and delivering scalable reporting and analytics solutions that provide meaningful business insights.
Working within a modern cloud data environment, you will help drive the adoption of Data Products and best practices across the organisation.
Key Responsibilities
- Data Products & Modern Data Architecture
- Define, develop and operationalise Data Products, ensuring clear ownership, discoverability and reusability.
- Champion modern data management principles and data product thinking across the business.
- Support the evolution of enterprise data capabilities through scalable and governed solutions.
- Business Intelligence & Visualisation
- Lead the design and development of enterprise reporting solutions using
Power BI, Snowflake, Azure Data Factory and Data Ops. live .
- Develop scalable semantic models, datasets and dashboards aligned to business KPIs.
- Optimise report performance and implement best practices in visualisation, usability and user experience.
- Work closely with stakeholders to translate business requirements into impactful analytics solutions.
- Develop and maintain ETL/ELT processes and data integration frameworks.
- Collaborate with engineering teams to design and implement data ingestion pipelines.
- Utilise
- SQL and
Python to support data transformation, automation and analytics requirements.
- Ensure the accuracy, accessibility and integrity of enterprise data assets.
- Work hands-on with
Snowflake as the core enterprise data platform.
- Contribute to the design and optimisation of cloud-based data solutions.
- Support high availability, scalability and performance across data systems and reporting platforms.
- Assist with the implementation of modern data engineering and Data Ops practices.
- Strong commercial experience with
Microsoft Power BI .
- Extensive SQL expertise.
- Experience with
Snowflake in a production environment.
- Hands-on experience with
Azure Data Factory (ADF) .
- Experience using
Data Ops. live .
- Strong understanding of Data Products and modern data architecture concepts.
- Experience building ETL/ELT pipelines and data integration frameworks.
- Proficiency in
Python or another programming language.
- Experience delivering scalable analytics and reporting solutions within enterprise environments.
- Knowledge of real-time and streaming data architectures.
- Certifications in
Power BI, Microsoft Azure and/or Snowflake .
- Strong analytical and problem-solving capabilities.
- Excellent stakeholder management and communication skills.
- Ability to effectively bridge business and technical teams.
- Experience working within large-scale transformation or data modernisation programmes.
- #J-18808-Ljbffr
Analytics Engineer in Warwick employer: Queen Square Recruitment
As an Operational Acceptance Test (OAT) Lead, you will join a dynamic and innovative team within a global technology and consulting organisation that prioritises employee growth and development. Our collaborative work culture fosters creativity and encourages you to take ownership of your projects, while our commitment to large-scale transformation programmes ensures that your contributions have a meaningful impact on critical national infrastructure services. With access to modern cloud technologies and a focus on service transition practices, this role offers unique opportunities for professional advancement in a complex enterprise environment.
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We think this is how you could land Analytics Engineer in Warwick
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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 Queen Square Recruitment.
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We think you need these skills to ace Analytics Engineer in Warwick
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 Queen Square Recruitment, 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 Queen Square Recruitment. 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 Queen Square Recruitment
✨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 Queen Square Recruitment!
✨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.
