At a Glance
- Tasks: Lead end-to-end data testing and ensure comprehensive test coverage across systems.
- Company: Join a dynamic fund services team focused on data excellence.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact by ensuring data integrity and supporting successful project deliveries.
- Qualifications: Experience in data testing, SQL, and strong coordination skills required.
The predicted salary is between 60000 - 80000 Β£ per year.
Duration: 12 months
End to end data testing leadership, owning Data test strategy, approach, and execution across system, integration, and reconciliation testing.
Strong understanding of data flows and dependencies, ensuring test coverage across upstream sources, transformations, and downstream consumers.
Test planning & governance expertise, including test scope, entry/exit criteria, defect triage, and reporting to programme leadership.
Hands on data validation capability, ability to use SQL and Excel to validate completeness, accuracy, reconciliations, and controls.
Cross team coordination skills, working closely with data delivery, engineering, business SMEs, and vendors to resolve issues.
Delivery focused mindset, balancing rigor with pragmatism to support parallel runs, cutover readiness, and go live confidence.
Data Test Manager β Fund Services in Manchester employer: Atrium (EMEA)
Atrium (EMEA) is an excellent employer that fosters a collaborative and innovative work culture, making it an ideal place for Data Scientists to thrive. Located in the vibrant city of London, employees benefit from a dynamic environment that encourages professional growth through continuous learning opportunities and exposure to cutting-edge analytics projects. With a focus on data-driven decision-making, Atrium empowers its team members to make meaningful contributions while enjoying a supportive atmosphere.
StudySmarter Expert Adviceπ€«
We think this is how you could land Data Test Manager β Fund Services in Manchester
β¨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Atrium (EMEA)!
β¨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Test Manager β Fund Services at Atrium (EMEA).
β¨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Atrium (EMEA).
β¨Apply Directly through Our Website
When you find a suitable opening like Data Test Manager β Fund Services at Atrium (EMEA), make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesnβt love a direct application? Itβs easier than navigating through job boards!
We think you need these skills to ace Data Test Manager β Fund Services in Manchester
Some tips for your application π«‘
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. Donβt 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 Atrium (EMEA), 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 youβre 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 Atrium (EMEA). 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 Atrium (EMEA)
β¨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!
β¨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, itβll really make us stand out!
β¨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 Atrium (EMEA)!
β¨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how weβd 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.