At a Glance
- Tasks: Support Data Resilience management in ServiceNow and analyse data flows for vulnerabilities.
- Company: Join a client transforming services for 26 million customers with significant investments in technology.
- Benefits: Daily rate of £750 via Umbrella Company and flexible in-office requirements.
- Other info: Location options include Manchester, Birmingham, Edinburgh, or Bristol.
- Why this job: Be pivotal in safeguarding critical data services within a dynamic Data Resilience team.
- Qualifications: Hands-on experience with ServiceNow GRC and knowledge of Data Resilience principles required.
Location: Manchester, Birmingham, Edinburgh, or Bristol
Remuneration: Daily rate 750pwd, via Umbrella Company
Contract Details: 2 days in-office per week
Responsibilities:
- Join the dynamic Data Resilience team within the Chief Data and Analytics Office (CDAO) and be a pivotal part of safeguarding our critical data services!
- Support the management of the Data Resilience Solution in ServiceNow by translating regulatory and business needs into actionable technical tooling requirements.
- Maintain resilience-focused datasets, ensuring critical data assets and dependencies are accurate and audit-ready.
- Analyse end-to-end data flows for Important Business Services (IBSs) to identify vulnerabilities and enhance data resilience controls.
- Coordinate Data Resilience BAU processes using ServiceNow, ensuring data integrity aligns with internal and regulatory expectations.
- Collaborate with Power BI teams to develop resilience-focused visualisations that deliver insights on the Group's Data Resilience Position.
- Create and maintain essential resilience artefacts and documentation, supporting audit and regulatory scrutiny.
- Engage stakeholders through workshops and training, embedding Data Resilience practices and driving adoption of tools and controls.
- Contribute to the Agile delivery of Data Resilience initiatives, ensuring continuous improvement in controls and processes.
What You'll Need:
- Hands-on experience with ServiceNow GRC, CMDB modelling, Discovery, Flow Designer, and Workflow automation.
- Deep understanding of data models, asset relationships, and data flows across complex systems.
- Knowledge of Data Resilience principles, including integrity, availability, recovery, and encryption.
- Proficiency in Excel and M365 for MI, data analysis, and governance reporting.
- Familiarity with Power BI and data visualisation to support insight-driven decision-making.
- A strong mindset focused on data quality and control, ensuring accuracy and completeness.
- Expertise in requirements gathering and business analysis (user stories, workflows, data models).
- Experience in Agile environments across the full solution lifecycle.
- Ability to identify resilience risks and vulnerabilities in data and processes.
- Effective stakeholder engagement and communication skills, translating technical concepts into business insights.
- Strong analytical thinking and problem-solving abilities, with a continuous improvement mindset.
- Adaptability and learning agility in a rapidly evolving regulatory and technical landscape.
Are you ready to make an impact? Join our client and play a vital role in shaping the future of data resilience in banking! Apply today!
Equal Opportunity Statement: We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
Data Resilience Analyst employer: Pontoon
This client is on a purposeful growth journey, investing heavily in their people and technology. Located in major UK cities, they focus on evolving to meet customer needs while fostering an inclusive environment. Join a team dedicated to enhancing data resilience in banking.
StudySmarter Expert Advice🤫
We think this is how you could land Data Resilience Analyst
✨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 Pontoon!
✨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 Resilience Analyst at Pontoon.
✨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 Pontoon.
✨Apply Directly through Our Website
When you find a suitable opening like Data Resilience Analyst at Pontoon, 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 Resilience Analyst
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 Pontoon, 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 Pontoon. 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 Pontoon
✨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 Pontoon!
✨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.
