At a Glance
- Tasks: Shape the future of Business Intelligence and AI while supporting a major ERP transformation.
- Company: Join a well-established UK business at a pivotal technology journey.
- Benefits: Flexible hybrid working, performance bonuses, and exposure to cutting-edge technologies.
- Other info: Collaborative environment with real ownership and influence on data strategy.
- Why this job: Make a genuine impact by combining hands-on BI with emerging AI technologies.
- Qualifications: Experience in ETL workflows, data visualisation, and a passion for analytics engineering.
The predicted salary is between 49500 - 60500 £ per year.
An opportunity to shape the future of Business Intelligence and AI
This is an opportunity to join a well-established UK business at a pivotal point in its technology journey.
With a major enterprise transformation programme underway, you'll play a key role in ensuring critical Business Intelligence capabilities continue to support the business while helping define the next generation of data, analytics and AI.
This isn't a traditional BI role.
Alongside supporting a large-scale ERP transformation, you'll help influence the organisation's future data platform, introduce modern analytics engineering principles and identify practical AI use cases that create real business value.
If you're excited by combining hands-on Business Intelligence with emerging AI technologies, this is an opportunity to make a genuine impact.
The Role
Working within a collaborative Data & BI team, you'll split your time between supporting a major ERP migration and helping shape the organisation's long-term AI and data strategy.
Initially, you'll focus on maintaining reporting capability throughout the ERP programme by building ETL processes, mapping legacy data and delivering dashboards that keep the business running smoothly.
Alongside this, you'll contribute to the evolution of the company's modern data platform, helping introduce semantic modelling, self-service analytics and AI capabilities that will support future business growth.
This is a role offering real ownership, influence and the opportunity to help define how AI is adopted across an enterprise environment.
- What You'll Be Doing
- Build and maintain ETL workflows supporting a large-scale ERP transformation.
- Map legacy data structures into a new enterprise platform using Alteryx or similar technologies.
- Develop dashboards and visualisations that provide meaningful business insight.
- Work closely with business stakeholders to ensure reporting remains accurate throughout the transformation.
- Contribute towards semantic data models that enable self-service analytics and future AI initiatives.
- Support the evaluation and implementation of a modern cloud data platform.
- Identify opportunities where AI can improve reporting, automation and business processes.
- Collaborate with IT, Finance and wider business teams on strategic data initiatives.
- Experience building ETL workflows using Alteryx or similar data integration tools.
- Experience with a modern data visualisation platform such as Tableau, Power BI or Qlik (Tableau preferred).
- An Analytics Engineering mindset with an understanding of semantic data models and how they support modern reporting and AI.
- Hands-on experience with Alteryx.
- Exposure to modern cloud data platforms such as Snowflake or Microsoft Fabric.
- Experience designing semantic layers or modern analytical data models.
- Knowledge of medallion architecture (Bronze, Silver and Gold data layers).
- Exposure to prompt engineering or identifying practical AI use cases within a commercial environment.
About You
You'll be someone who enjoys solving business problems through data rather than simply producing reports.
You're naturally curious about emerging technologies and excited by the possibilities AI presents, but equally comfortable rolling your sleeves up to deliver robust Business Intelligence solutions today.
You’ll enjoy working across both technical and non-technical teams, taking ownership of new initiatives and helping shape how data is used across the organisation.
Why Apply?
- Be part of one of the organisation's largest technology transformation programmes.
- Help shape the future AI and data strategy from the ground up.
- Gain exposure to modern cloud data technologies, semantic modelling and AI integration.
- Broad role combining Business Intelligence, Analytics Engineering and AI innovation.
- Genuine ownership within a collaborative and highly visible Data team.
- Flexible hybrid working, with additional flexibility available for candidates based further afield.
- Annual company and personal performance bonus.
- #J-18808-Ljbffr
Analytics Engineer in Leeds employer: Corecom Consulting
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your analytical skills can shine. With flexible remote working options and the opportunity to engage with top-tier professionals in Manchester, you'll find ample opportunities for personal and professional growth while contributing to impactful network transformation projects. This role not only promises meaningful work but also a supportive environment that encourages continuous learning and development.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in Leeds
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Corecom Consulting!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analytics Engineer at Corecom Consulting.
✨Leverage Professional Networks
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 Corecom Consulting.
✨Apply Directly through Our Website
When you find a suitable opening like Analytics Engineer at Corecom Consulting, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Analytics Engineer in Leeds
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 Corecom Consulting, 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 Corecom Consulting. 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 Corecom Consulting
✨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 Corecom Consulting!
✨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.
