At a Glance
- Tasks: Capture and model data in Snowflake to support recruitment and admissions.
- Company: Join a leading University in Birmingham with a focus on innovation.
- Benefits: Up to £46,000 salary, 40 days leave, hybrid working, and generous pension scheme.
- Other info: Collaborative team culture with opportunities for professional growth.
- Why this job: Make a real impact on data-driven decisions in a dynamic educational environment.
- Qualifications: Experience with database systems, SQL, Python, and data analytics.
Salary up to £46,000 per annum, 40 days leave inclusive of bank holidays and university closure days, hybrid working, generous pension scheme and many other generous benefits or competitive day rate available.
About the role
Hays Technology are working in partnership with a University based in Birmingham to recruit an experienced Analytics Engineer to join a maturing project and steer the next crucial stage of its delivery. The primary focus of the role is to ensure the Dynamics data is captured and modelled in Snowflake to meet business requirements, working with colleagues from IT Services and the wider business.
What you will be doing
- Develop an understanding of the enquirer and applicant journeys and how they are captured in the data.
- Collect business requirements and ensure that they are met.
- Work with colleagues to create, enhance, test and maintain the dataflows that support recruitment, admissions, analysis and insight functions.
- Work closely and constructively with colleagues in Admission, Student Recruitment and IT Services, including the Dynamics product team.
- Take a leading role in development of data models in Snowflake, ensuring compliance with institutional data governance.
- Contribute to development of data lakes and the data warehouse, leading where appropriate.
- Prepare datasets for inclusion in PBI reports.
What we are looking for
- Strong understanding of the principles of database systems, data warehouses, ETL processes, APIs and data analytics.
- The resilience to deal with and work around the limitations of legacy systems, and to adapt as systems change.
- Excellent oral and written communication skills to ensure understanding between technical and non-technical colleagues.
- Experience of MS Dynamics or a similar CRM system.
- Experience of Snowflake or similar.
- Proficiency in SQL and Python.
- Experience of dbt or similar.
- Experience of Git.
- Experience of leading technical colleagues.
If you have the relevant experience and would like to apply, please submit your CV.
Analytics Engineer in Birmingham employer: Hays Technology
Join a dynamic technology team as an Application Engineer/Web Developer, where innovation meets collaboration in a fast-paced environment. Enjoy flexible working arrangements and an industry-leading benefits package, including a generous bonus and pension scheme, while contributing to the development of high-quality digital platforms. With ample opportunities for professional growth and a culture that promotes knowledge sharing and best practices, this role is perfect for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in Birmingham
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We think you need these skills to ace Analytics Engineer in Birmingham
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 Hays Technology, 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 Hays Technology. 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 Hays Technology
✨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 Hays Technology!
✨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.
