Analytics Engineer in Leicester

Analytics Engineer in Leicester

Leicester Full-Time 50000 - 65000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Transform and model CRM data in Snowflake for impactful reporting and analytics.
  • Company: Join a forward-thinking company driving major data transformation.
  • Benefits: Flexible working, competitive pay, and opportunities for professional growth.
  • Other info: Dynamic role with potential for career advancement in a modern data environment.
  • Why this job: Shape the future of data analytics and make a real difference in the organisation.
  • Qualifications: Experience with Snowflake, SQL, and data modelling; teamwork skills are essential.

The predicted salary is between 50000 - 65000 £ per year.

We're looking for an experienced Analytics Engineer to play a key role in a high-profile data transformation programme. You'll be responsible for transforming and modelling CRM data within Snowflake, building trusted data models and enabling high-quality reporting, analytics and insight across the organisation. Working closely with business stakeholders, analysts and engineering teams, you'll help define data requirements, improve data quality, and ensure data is accessible, reliable and fit for purpose.

Key skills:

  • Snowflake
  • SQL
  • dbt
  • Data Modelling
  • Dynamics CRM (or similar CRM platforms)
  • Git
  • Understanding of Data Warehousing principles

Desirable:

  • Python
  • Experience supporting BI and analytics teams
  • Exposure to modern data stack environments

This is an opportunity to influence how data is structured and consumed across the business, working at the heart of a major transformation programme and helping to establish best practice in analytics engineering.

The role has been deemed Outside IR35, with onsite requirements driven by project needs rather than a fixed mandate.

Analytics Engineer in Leicester employer: Cadence Resourcing Limited

Join a forward-thinking organisation that values innovation and collaboration, where as an Analytics Engineer, you will have the opportunity to shape data practices within a high-profile transformation programme. Our supportive work culture fosters professional growth, offering continuous learning opportunities and the chance to work with cutting-edge technologies like Snowflake and dbt. Located in a vibrant area, we provide a dynamic environment that encourages creativity and teamwork, making it an excellent place for those seeking meaningful and rewarding employment.

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Contact Details:

Cadence Resourcing Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Analytics Engineer in Leicester

Get Involved in Data Science Meetups

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Apply Directly through Our Website

When you find a suitable opening like Analytics Engineer at Cadence Resourcing Limited, 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 Leicester

Snowflake
SQL
dbt
Data Modelling
Dynamics CRM
Git
Data Warehousing principles

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 Cadence Resourcing Limited, 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 Cadence Resourcing Limited. 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 Cadence Resourcing Limited

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 Cadence Resourcing Limited!

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.