At a Glance
- Tasks: Create data integration components and develop analytics for debt management campaigns.
- Company: Join HM Revenue & Customs, a leader in public service innovation.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on transitioning to the Cloud.
- Why this job: Make a difference in public service while working with cutting-edge analytics tools.
- Qualifications: Experience with SAS, SQL, and a passion for data-driven solutions.
The predicted salary is between 37800 - 46200 £ per year.
HM Revenue & Customs (HMRC) is recruiting a SAS Developer to join the Debt Management Logistics Team (DEA).
You will deliver data integration components and build data-driven analytics for debt management campaigns, transitioning to the Cloud, and supporting BI initiatives.
You will work with SAS, SQL and modern analytics tools to produce reports and visuals, and collaborate with business and tech leads to plan delivery and ensure quality controls.
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Data Engineer — Cloud & Analytics Innovator in Leeds employer: HM Revenue & Customs
HM Revenue & Customs is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As an Agile Delivery Manager, you will benefit from a strong focus on professional development, with ample opportunities for growth and advancement within the public sector. Located in a supportive atmosphere that values transparency and teamwork, you will play a vital role in shaping digital services that make a real difference to users across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer — Cloud & Analytics Innovator in Leeds
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We think you need these skills to ace Data Engineer — Cloud & Analytics Innovator 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!
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Craft a Tailored Cover Letter:For a full-time role at HM Revenue & Customs, 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 HM Revenue & Customs. 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 HM Revenue & Customs
✨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!
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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 HM Revenue & Customs!
✨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.
