Hybrid Data Analyst - QA & Data Integrity in London

Hybrid Data Analyst - QA & Data Integrity in London

London Full-Time 30000 - 40000 £ / year (est.) Home office (partial)
Aptia Group

At a Glance

  • Tasks: Ensure accurate data analysis and collaborate across teams for data integrity.
  • Company: Aptia Group, a forward-thinking company focused on quality assurance.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team dedicated to maintaining high data standards.
  • Why this job: Make a real impact on data handling processes while working flexibly.
  • Qualifications: Advanced Excel skills and a keen eye for detail.

The predicted salary is between 30000 - 40000 £ per year.

Aptia Group is looking for a Data Analyst to join their Quality Assurance and Audit Team. You will ensure accurate data analysis for internal stakeholders and collaborate across teams to ensure data integrity and compliance with best practices.

This hybrid role allows you to work from any Aptia office in the UK or from home, requiring advanced Excel skills and a strong focus on quality and detail. Your contributions will help improve the processes around data handling.

Hybrid Data Analyst - QA & Data Integrity in London employer: Aptia Group

Aptia Group is an exceptional employer that values precision and collaboration, offering a hybrid work environment that promotes flexibility and work-life balance. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to make a meaningful impact on data integrity across the organisation. Join a supportive team culture where your expertise in data analysis will be recognised and rewarded.

Aptia Group

Contact Details:

Aptia Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Data Analyst - QA & Data Integrity in London

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Apply Directly through Our Website

When you find a suitable opening like Hybrid Data Analyst - QA & Data Integrity at Aptia Group, 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 Hybrid Data Analyst - QA & Data Integrity in London

Data Analysis
Quality Assurance
Attention to Detail
Excel Skills
Data Integrity
Collaboration
Compliance

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 Aptia Group, 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 Aptia Group. 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 Aptia Group

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 Aptia Group!

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.