At a Glance
- Tasks: Lead data-driven product analysis to enhance customer account experiences.
- Company: Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, hybrid work, generous leave, and stock options.
- Other info: Diverse and inclusive culture with excellent career growth opportunities.
- Why this job: Join a mission-driven team making money management easier for everyone.
- Qualifications: 5+ years in analytics, strong SQL & Python skills, and stakeholder management.
The predicted salary is between 75000 - 115000 £ per year.
hackajob is collaborating with Wise to connect them with exceptional professionals for this role.
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. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.
THE ROLE
We're looking for a Lead Product Analyst (Individual Contributor) to join the Account Management team and Account squad. The Account Management team builds and optimises Wise's core account experience, making it simple for customers to open an account, hold money, move and convert funds, use savings and spending accounts, manage subscriptions, and connect external accounts. All in one seamless interface.
As a Lead Product Analyst, your mission is to deeply identify and understand the needs of customers engaging with our products and steer your cross-functional team to solve the most critical problems at a global scale. This is an IC3 role.
WHAT YOU'LL BE DOING
- Collaborate with Product Managers, Engineers, Designers, Compliance, Bankers and other cross-functional partners to improve the Wise product.
- Help your team make data-driven decisions and prioritise the most impactful opportunities to enable Wise to reach Mission Zero.
- Tie initiatives to the team's KPIs to help guide the product strategy.
- Be the primary point of contact for all data related questions within our balance data structure and have full ownership of the domain.
WHAT YOU'LL BRING
- Technical Skills: 5+ years experience in analytical roles with strong data analysis skills (SQL & Python).
- Experience conducting regular A/B tests and causal analyses to determine impact of product changes on defined metrics.
- KPI Setting: Experience partnering with Product Managers and other Analysts to set KPIs and monitor the impact of new product features on conversion, stickiness and engagement.
- Influence: Strong stakeholder management skills - you are collaborative, know how to influence and when to say yes or no to maximise impact. You have a bias to action - you identify what needs to be done and make it happen.
- First Principles Thinking: You can take an ambiguous, open ended problem, structure it and solve it. Ensuring the team is working on the most impactful opportunities.
NICE TO HAVE BUT NOT ESSENTIAL
- Experience delivering high quality data and self-serve analytics using tools like Airflow, dbt and Looker.
- Practically used + applied AI / machine learning techniques and built predictive models to get deeper insights.
- Knowledge of the FinTech ecosystem.
What do we offer:
- Salary: £75,000 - £115,000.
- Company Restricted Stock Units.
- Numerous great benefits in our London office.
Key benefits:
- Hybrid working.
- Paid annual holiday, sick days, parental leave and other leave opportunities.
- 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave.
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Product Analyst - Consumer Account in Bristol
✨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 - Consumer Account 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 - Consumer Account 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 - Consumer Account in Bristol
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.
