At a Glance
- Tasks: Build and optimise data pipelines to enhance compliance and risk management.
- Company: Wise, a global tech company revolutionising money movement.
- Benefits: Competitive stock options, flexible work conditions, and annual development budget.
- Other info: Join a diverse team committed to innovation and personal growth.
- Why this job: Make a real impact on compliance and risk using cutting-edge data analytics.
- Qualifications: Proficient in Python, SQL, and data visualisation tools; analytical mindset required.
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
The Platform Engineering Tribe: We are the driving force behind Wise, ensuring everything runs smoothly. We support our engineering teams so they innovate, build and ship great code quickly and confidently. Our expertise spans Data, Machine Learning, Incident and Risk Management, Hardware, and System Efficiency, all designed to foster an unparalleled Engineering Experience.
The Role: We are seeking an experienced Data Analyst to join our Platform Engineering and Security team. This role is pivotal in shaping how we manage compliance and risk through data. You will play a key role in building robust data pipelines to support continuous control monitoring while using insights to drive strategic opportunities within Wise's secure and compliant framework.
Why Should You Join Our Team?
- Data-Driven Impact: You'll have the opportunity to redefine how we approach compliance and risk within the organisation, leveraging data to highlight areas for improvement and efficiency.
- Growth and Innovation: Experiment with cutting-edge technology and methodologies in data analytics and engineering, pushing boundaries in various domains.
- Supportive Environment: Enjoy a healthy balance of independence and collaboration, backed by a team of dedicated experts across domains for when you need support.
What will you be working on?
- Data Engineering → Build and Optimise Pipelines: Develop, optimise, and maintain data pipelines using Python, REST APIs, DBT, and Airflow to ensure seamless data flow for compliance and risk management.
- Understanding Control Requirements & Continuous Monitoring: Partner closely with control owners across security domains (such as Access Management, Vulnerability Management, Data Governance, etc.) to translate abstract compliance and testing requirements into concrete, measurable metrics, SLAs, and continuous monitoring dashboards.
- Compliance and Risk → Define KPIs: Collaborate with stakeholders to define and refine key performance indicators necessary for monitoring compliance and risk for our IT systems, ensuring data accuracy and relevance.
- Opportunity Identification → Insights: Utilise data to identify opportunities for enhancing compliance processes, mitigating risks, and driving higher efficiency throughout the organisation.
Qualifications
- Technical Expectations: Proficient in Python, with experience in automation and building data pipelines. Strong expertise in working with tools like DBT and Airflow for ETL processes. Skilled in using REST APIs to develop and manage data integrations. Proficient in SQL and familiar with data visualization tools such as Looker, Superset, PowerBI, or Tableau. Bonus: Familiarity with security frameworks (e.g., SOC 2, ISO 27001, NIST), and the concept of continuous control monitoring (CCM).
- Soft Skills: Analytical Mindset: Strong ability to interpret data, identify trends, and drive data-based decision-making. Critical Thinking: Help stakeholders to define what to measure, ensuring the resulting data accurately reflects control operating effectiveness. Strategic Thinking: Excellent ability to build trust and influence across various teams, conveying complex concepts clearly to influence diverse stakeholders. Problem-Solver: Proactively identifies and implements solutions to improve data processes and analytics.
Your contributions will be directly linked to the security and compliance strategy at Wise, influencing our growth path. Join us in advancing data and technology frontiers to support our borderless mission!
Benefits
- Competitive stock options in a profitable company.
- Flexible working conditions tailored to support a balance between work and personal life.
- Annual budget for personal and professional development.
Commitment to Diversity: Wise is dedicated to fostering a diverse and inclusive workplace. We strongly encourage applications from all backgrounds and are committed to providing equal opportunity in our employment practices.
If you are passionate about using your analytical skills to influence and improve IT operations within a leading international financial services company, apply now to join us at Wise!
Lead Product Analyst - Security Platform employer: Wise
Wise is an exceptional employer that prioritises the well-being and professional growth of its employees. With a dynamic work culture that fosters innovation and collaboration, team members are encouraged to develop their skills while contributing to meaningful resilience strategies on a global scale. Located in a vibrant city, Wise offers competitive benefits and unique opportunities for career advancement, making it an ideal place for those seeking a rewarding and impactful career.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Product Analyst - Security Platform
✨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 Wise!
✨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 Lead Product Analyst - Security Platform at Wise.
✨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 Wise.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Product Analyst - Security Platform at Wise, 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 Lead Product Analyst - Security Platform
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 Wise, 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 Wise. 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 Wise
✨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 Wise!
✨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.
