Wise
Finance / FinServ
LeadProductAnalyst-Operations
Neural analysis suggests this role is
optimal for mid candidates.
“Lead Product Analyst - Operations at Wise. Skills: analytical capacity planning, forecasting, data pipeline ownership, predictive modeling, cause and effect analysis, strategic support and analysis, performance tracking, initiative optimisation, KPI implementation, target setting, stakeholder collaboration, process standardisation. building and refining analytical models for strategic capacity planning. forecasting efforts to align with business growth and operational demands”
Industry & Context.
approach complex, interconnected problems with a systems mindset; quantitative and statistical background; comfortable with probability, hypothesis testing, regression, time series analysis, and thinking in terms of models and trade-offs; predictive modeling; cause and effect analysis
What They're Looking For.
Must Have
4+ years of experience in analytics, quantitative and statistical background, comfortable with probability, hypothesis testing, regression, time series analysis, experience with operational analytics: efficiency analysis, cost modelling, performance measurement, or process optimisation, complex data models in SQL, advanced analysis using Python/R, experience with visualisation tools like Looker, Superset, or Tableau, bias to action, excellent communicator, own projects end-to-end, form your own opinions, influence stakeholders across teams
Nice to Have
Experience with optimisation problems such as queuing theory, scheduling, or resource allocation, Familiarity with forecasting techniques (ARIMA, Holt-Winters, or similar time series methods), Experience building data foundations that support ML/AI — feature engineering, labelled datasets, or structured event data, Prior experience in operations, servicing, or compliance domains, Familiarity with workforce management, quality assurance, or knowledge management analytics, Experience with dbt, Airflow, or Git
What You'll Do.
building and refining analytical models for strategic capacity planning
forecasting efforts to align with business growth and operational demands
maintain and improve data flow
ensuring reliability and accuracy
develop and implement robust models to predict outcomes
perform cause and effect analysis to identify key drivers
and enhance decision-making and strategic planning
assess the operational health of the KYC function
conduct in-depth cost analysis
detailed analysis of operational metrics (including quality) to understand impacts on customer experiences
monitor and track the performance of key strategic initiatives
capitalising on optimisation opportunities to enhance operational outcomes
lead the development and implementation of the operations KPI tree and the target-setting framework
integrating these within reporting pipelines and strategic operations
standardise processes across forecasting
and real-time operations
How You'll Work.
Team & Collaboration
collaborate closely with your operational leads, as well as workforce management, quality, training, and knowledge management; collaborate closely with various stakeholders to standardise processes across forecasting, scheduling, and real-time operations
Communication Scope
excellent communicator; tell a story with data; proactively guide strategy based on insights; influence stakeholders across teams
Process & Methodology
own projects end-to-end
Full Job Description
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. More about [our mission](https://wise.jobs/our-mission) and [what we offer](https://wise.jobs/what-we-offer). We’re looking for a Lead Data Analyst who is passionate about our mission of Money Without Borders to partner with our operational teams to help drive data-driven decisions that would support our fast-growing product through scaling and optimising the team. As a Lead Data Analyst, you'll be driving our analytics efforts in our operations teams, who do everything from support our customers when they need help, to screening for criminal activity, to verifying customer identities at scale. Most importantly, you’ll collaborate closely with your operational leads, as well as workforce management, quality, training, and knowledge management, to bring your insights into real change for our customers and help drive our mission! Here’s how you’ll be contributing: * Analytical Capacity Planning and Forecasting : Focus on building and refining analytical models for strategic capacity planning. Take ownership of forecasting efforts to align with business growth and operational demands. * Data Pipeline Ownership : Take ownership of data pipelines to maintain and improve data flow, ensuring reliability and accuracy. * Predictive Modeling and Cause and Effect Analysis : Develop and implement robust models to predict outcomes and perform cause and effect analysis to identify key drivers, optimise processes, and enhance decision-making and strategic planning. * Strategic Support and Analysis : Provide critical insights to assess
Applying for this Lead Product Analyst - Operations role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about Wise?
Real rants from real employees. Read before you apply.