At a Glance
- Tasks: Manage data requests and regulatory reporting to ensure compliance and governance.
- Company: Join PayPal, a leading tech company focused on innovation and compliance.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative team atmosphere with a focus on continuous improvement and innovation.
- Why this job: Make a real impact by ensuring data integrity and compliance in a dynamic environment.
- Qualifications: 5+ years experience in data management with strong analytical skills.
The predicted salary is between 56700 - 69300 £ per year.
Job Summary
This role plays a vital role in ensuring Pay Pal UK Limited (PPUK) meets its regulatory and governance obligations through effective data management and reporting.
You will be involved in managing data requests, regulatory reporting, and reporting for governance processes.
A key aspect of the position is assessing new and existing regulatory reporting requirements, working with cross‑functional teams to confirm data availability and accuracy.
This requires strong data manipulation and organisational skills.
Essential Responsibilities
- Identify issues and recommend best practices for the administration of legal entities and subsidiaries.
- Lead functional projects and programs that contribute to business or process improvements.
- Analyze business trends to inform decision‑making and enhance operational effectiveness.
- Collaborate with internal stakeholders to ensure compliance with legal and regulatory requirements.
- Oversee the maintenance of accurate corporate records and documentation.
- Use advanced data manipulation tools (e. g., Excel, SQL, Python) to analyse and prepare datasets for compliance‑related tasks.
- Aggregate data from various sources to construct streamlined data pipelines and integrate data from multiple Pay Pal systems.
- Identify key metrics and build leadership‑facing dashboards to track progress of the business and its highest priority initiatives.
- Identify key business levers, establish cause & effect, perform analyses, and communicate key findings to various stakeholders to facilitate data‑driven decision‑making.
- Lead and participate in special projects/initiatives: innovate and implement large‑scale quality improvements to processes and/or systems, troubleshoot technical issues, and refine processes around customer support.
- Act as a liaison between the UK COO team, Compliance function and other business units to address regulatory reporting needs and resolve data discrepancies.
- Generate compliance reports to support governance processes, including management information for senior leadership and Board‑level committees.
- Respond to internal and external data requests, ensuring timely and reliable delivery of information.
- Maintain comprehensive records of data submissions and compliance reporting for audit and oversight purposes.
- Design and implement improved workflows and tools to streamline compliance reporting processes.
- Proactively identify inefficiencies or gaps in current data management practices and propose actionable solutions.
- Minimum Qualifications
- 5+ years relevant experience and a Bachelor’s degree or an equivalent combination of education and experience.
- Additional Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics or related field.
- Experience with SQL, Python, Tableau, Jupyter Notebooks, Teradata, Hadoop/Hive, Oracle.
- Excellent understanding of computer science fundamentals, data structures, and algorithms.
- Demonstrated experience handling large data sets and crunching numbers.
- Strong written and verbal communication skills with the ability to translate complex problems into simpler terms and effectively influence peers and senior leadership.
- Exceptional organisational and analytical skills with strong attention to detail.
- Experience collaborating with cross-functional teams to manage data and reporting workflows.
- Solid understanding of regulatory reporting requirements for financial institutions or regulated entities.
- Familiarity with governance frameworks and compliance requirements.
- Experience working within a compliance or data‑focused role in a regulated environment.
Pay Pal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.
In addition, Pay Pal will provide reasonable accommodations for qualified individuals with disabilities.
#J-18808-Ljbffr
Manager, Data Management & Analysis in London employer: Segment (Twilio)
Join a forward-thinking company in Glenrothes or Livingston as a Principal Hardware Engineer, where you will be empowered to lead innovative power electronics designs and mentor a talented team. With a strong commitment to employee growth, competitive salaries, and a flexible working environment, we offer a culture that values collaboration and technical excellence. Enjoy unique benefits such as enhanced family policies, generous holiday allowances, and opportunities for community engagement through paid volunteering days.
StudySmarter Expert Advice🤫
We think this is how you could land Manager, Data Management & Analysis in London
✨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 Segment (Twilio)!
✨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 Manager, Data Management & Analysis at Segment (Twilio).
✨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 Segment (Twilio).
✨Apply Directly through Our Website
When you find a suitable opening like Manager, Data Management & Analysis at Segment (Twilio), 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 Manager, Data Management & Analysis in London
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 Segment (Twilio), 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 Segment (Twilio). 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 Segment (Twilio)
✨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 Segment (Twilio)!
✨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.
