At a Glance
- Tasks: Join a specialist security team ensuring data quality for critical national infrastructure.
- Company: Trusted partner to governments, focused on safety and security.
- Benefits: Tailored benefits, including bonuses, private GP access, and generous leave policies.
- Other info: Hybrid work model with excellent career growth opportunities.
- Why this job: Make a real impact on national security while developing your skills in data quality.
- Qualifications: Experience in data quality, analysis, and collaboration required.
The predicted salary is between 30000 - 40000 £ per year.
Due to the sensitive nature of this role, you may be required to undergo DV (Developed Vetting) level Security Clearance. An allowance of £5k per annum may be payable monthly while you hold this DV and continue to work in a role that requires that level of security clearance. The terms of this allowance will be made available if you are successful in being recruited into this role.
About the role
You’ll be joining a specialist security team that is a trusted partner to governments worldwide, protecting critical national infrastructure and committed to the safety and security of our nation and global communities. Specifically, under this role, you will be working in the Data, Design and Engineering team, responsible for delivering new projects to enable BT to meet its legal obligations under the Investigatory Powers Act (IPA 2016). This job role is based in Ipswich. Hybrid (3 days office based & 2 days remote). Mon-Fri 37.5. SC Security Clearance is required. Must have lived in the UK for 5+ years to obtain clearance.
What you’ll be doing
- Responsible for the understanding, risk reviews and improvement of existing Data Quality checking process in place within both the Security division and the rest of BT such that when data reaches the Disclosure Team any risks are fully understood and where possible mitigated before that data is used for lawful purposes.
- Identify any data quality risks for new sources of data both from within and outside BT that are used within Disclosure.
- Responsible for working with the rest of the Obligations Technical teams to enable the development and review of Data sources to ensure the correct data reaches the Disclosure Team so the data can be delivered confidently against the disclosure legal obligations.
- Responsible for delivering Data Quality test cases to assure the integrity of new disclosure products, data feeds, and broader Data Quality initiatives.
- Accountable for implementing robust Data Quality reporting aligned to both operational requirements and DDE team objectives.
Essential Skills / Experience
- Data Quality
- Data Analysis
- Collaboration
- Requirements Analysis
- Data Dashboards
Desirable Skills / Experience
- Regulatory awareness: Knowledge of UK legislation such as the Investigatory Powers Act and how that can be applied to disclosure of communications data or content.
- Effective relationships: Develops practical and open relationships across Customers, GSS and with other BT teams such as Consumer, Business Technology CTOs.
- Business acumen: Knowledgeable in business strategy and the drivers of organisational performance, including people drivers of performance and financial literacy (e.g. business KPIs, business cases).
- Developing and implementing data-driven test automation solutions.
- Working with cloud environments such as Google Cloud Platform (GCP) and AWS.
Our Package
Tailored benefits make a real difference. That’s why we offer a comprehensive range to support your growth, wellbeing, and everyday life. You can design the package to suit you and your lifestyle. Your core benefits include:
- 10% on target annual bonus
- Access to an online private GP 24/7 for you and your immediate family
- Market‑leading paid carers leave with up to 2 weeks off
- Equalised maternity, paternity, and adoption leave – 18 weeks’ full pay and 8 weeks’ half pay
- Discounted EE and BT products, including mobile and broadband
- Market leading Pension scheme – 5% from you and 10% from us
- Holiday purchase scheme
Data Quality Professional in Ipswich employer: 慨正橡扯
Join a leading security team in Ipswich, where your role as a Data Quality Professional will contribute to safeguarding national infrastructure and enhancing data integrity. With a hybrid work model, competitive benefits including a tailored package, generous parental leave, and a strong focus on employee wellbeing and growth, BT is committed to fostering a supportive and dynamic work environment that empowers you to thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Professional in Ipswich
✨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 慨正橡扯!
✨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 Quality Professional at 慨正橡扯.
✨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 慨正橡扯.
✨Apply Directly through Our Website
When you find a suitable opening like Data Quality Professional at 慨正橡扯, 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 Quality Professional in Ipswich
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 慨正橡扯, 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 慨正橡扯. 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 慨正橡扯
✨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 慨正橡扯!
✨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.