At a Glance
- Tasks: Lead data analytics to drive decisions and optimise operations in a fast-growing fintech environment.
- Company: Join Wise, a mission-driven company focused on Money Without Borders.
- Benefits: Competitive salary, stock options, hybrid work, and generous leave policies.
- Other info: Enjoy a dynamic workplace with opportunities for professional growth and a 6-week sabbatical.
- Why this job: Make a real impact by using data to combat financial crime and enhance customer experience.
- Qualifications: 4+ years in analytics with strong statistical skills and proficiency in SQL/Python/R.
The predicted salary is between 75000 - 115000 £ per year.
We’re looking for a Lead Data Analyst passionate about our mission of Money Without Borders to partner with our operational teams to help drive data‑driven decisions that support our fast‑growing product through scaling and optimizing the team. As a Lead Data Analyst, you will drive our analytics efforts in operations teams, supporting customers, screening for criminal activity, and verifying customer identities at scale. You’ll collaborate closely with operational leads, product managers, designers, engineers, workforce management, quality, training, and knowledge management to translate insights into real change.
Responsibilities
- Analytical Capacity Planning and Forecasting – Build and refine analytical models for strategic capacity planning and lead forecasting to align with business growth.
- Data Pipeline Ownership – Own data pipelines to maintain and improve data flow, ensuring reliability and accuracy.
- Predictive Modeling and Cause‑and‑Effect Analysis – Develop robust models to predict outcomes and conduct cause‑and‑effect analysis to identify key drivers, optimize processes, and enhance decision‑making.
- Strategic Support and Analysis – Provide critical insights to assess operational health, perform cost analysis, and analyze operational metrics, including quality, to understand customer impact.
- Performance Tracking and Initiative Optimisation – Monitor and track performance of key initiatives, capitalize on optimisation opportunities to improve outcomes.
- KPI Implementation and Target Setting – Lead development and implementation of the operations KPI tree and target‑setting framework, integrating within reporting pipelines.
- Stakeholder Collaboration and Process Standardisation – Work with stakeholders to standardise processes across forecasting, scheduling, and real‑time operations, promoting continuous improvement.
Qualifications
- Quantitative Foundation – Background in statistics, maths, physics, engineering, economics, or another scientific field.
- Statistical Mindset – Grasp of data logic, understanding distributions, variance, and significance; can separate signal from noise.
- 4+ years of analytics experience with a strategic mindset, delivering operational improvements.
- Experience in operational analytics: capacity planning, forecasting, efficiency analysis, quality assurance, predictive analytics, experimentation.
- Proficient in complex data models in SQL (Snowflake) and advanced SQL/Python/R.
- Ability to tell a story and proactively advise strategy based on insights.
- Experience with data visualisation tools such as Looker, PowerBI, Tableau, and storytelling ability.
- Bias to action – identify needed work and make it happen.
- Extra skills (not essential) – Prior experience in Operations domains, WFM or Quality teams, forecasting techniques (ARIMA, Holt‑Winters, time‑series methods).
What do we offer
- Salary: £75,000 – £115,000
- Company Restricted Stock Units
- Numerous great benefits in our London office
Key benefits
- Hybrid working + MobileWiser – work from anywhere up to 90 days a year
- 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
Lead Data Analyst - FinCrime Operations employer: Wise
At Wise, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Lead Data Analyst in our London office, you will enjoy a hybrid working model, generous leave policies including a six-week sabbatical after four years, and the opportunity to collaborate with diverse teams to drive impactful data-driven decisions. Join us to be part of a mission-driven company that values innovation, growth, and the well-being of its employees.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst - FinCrime Operations
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis. Think about how you can showcase your analytical skills and past experiences that align with the role of Lead Data Analyst.
✨Tip Number 3
Showcase your work! Create a portfolio or a GitHub repository where you can display your data projects, models, and visualisations. This gives potential employers a tangible sense of your skills and creativity.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission of Money Without Borders.
We think you need these skills to ace Lead Data Analyst - FinCrime Operations
Some tips for your application 🫡
Show Your Passion:When you write your application, let your enthusiasm for the role and our mission of Money Without Borders shine through. We want to see how your passion aligns with what we do at StudySmarter!
Tailor Your Experience:Make sure to highlight your relevant experience in analytics, especially in operational settings. We’re looking for someone who can demonstrate their skills in capacity planning and predictive modelling, so don’t hold back on those details!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your writing is easy to follow and gets straight to the heart of your qualifications and experiences.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the Lead Data Analyst position. Let’s get started on this journey together!
How to prepare for a job interview at Wise
✨Know Your Data Inside Out
As a Lead Data Analyst, you'll be expected to have a solid grasp of data logic and statistical principles. Brush up on your knowledge of SQL, Python, and R, and be ready to discuss how you've used these tools in past projects. Prepare examples that showcase your ability to build analytical models and conduct predictive analysis.
✨Showcase Your Storytelling Skills
It's not just about crunching numbers; it's about telling a compelling story with them. Think about how you can present your insights in a way that resonates with stakeholders. Practice explaining complex data findings in simple terms, and prepare to discuss how your insights have driven strategic decisions in previous roles.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to optimise processes. Prepare for scenario-based questions where you might need to demonstrate your analytical capacity planning or forecasting skills. Think through real-life examples where you've successfully improved operational metrics or implemented KPIs.
✨Collaborate and Communicate
Collaboration is key in this role, so be ready to discuss how you've worked with cross-functional teams in the past. Highlight your experience in standardising processes and promoting continuous improvement. Show that you can not only analyse data but also effectively communicate your findings to drive change across teams.
