Data & Analytics Lead – Governance, MEL & Reporting

Data & Analytics Lead – Governance, MEL & Reporting

Full-Time 39000 - 41000 £ / year (est.) Home office (partial)
Now Teach

At a Glance

  • Tasks: Oversee data systems and reporting processes while ensuring accuracy and compliance.
  • Company: Now Teach, a forward-thinking organisation focused on education.
  • Benefits: Competitive salary, hybrid working, 25 days leave, and professional development budgets.
  • Other info: Join a dynamic team with opportunities for growth and impact.
  • Why this job: Make a real difference in education through data management and governance.
  • Qualifications: Experience in data management and knowledge of UK GDPR compliance.

The predicted salary is between 39000 - 41000 £ per year.

Now Teach is looking for a Data Manager to oversee their data systems and reporting processes. You will work closely with various stakeholders to ensure data accuracy, compliance with UK GDPR, and that systems are fit for purpose.

This full-time role offers hybrid working arrangements. The salary is between £39k and £41k, plus an 11% employer pension contribution and other benefits including 25 days annual leave and professional development budgets.

Data & Analytics Lead – Governance, MEL & Reporting employer: Now Teach

Now Teach is an exceptional employer that prioritises employee well-being and professional growth, offering a supportive work culture where collaboration and innovation thrive. With hybrid working arrangements, generous annual leave, and a commitment to continuous development, employees are empowered to excel in their roles while contributing to meaningful educational initiatives across the UK.

Now Teach

Contact Details:

Now Teach Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data & Analytics Lead – Governance, MEL & Reporting

Get Involved in Data Science Meetups

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Apply Directly through Our Website

When you find a suitable opening like Data & Analytics Lead – Governance, MEL & Reporting at Now Teach, 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 Data & Analytics Lead – Governance, MEL & Reporting

Communication Skills
SQL
Automation
Problem-Solving Skills
Python
Attention to Detail
Data Governance

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 Now Teach, 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 Now Teach. 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 Now Teach

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 Now Teach!

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.