Lead Product Analyst Operations

Were 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 youll 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 youll 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! 

Heres how youll 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 the operational health of the KYC function conduct in-depth cost analysis and offer detailed analysis of operational metrics (including quality) to understand impacts on customer experiences.
• Performance Tracking and Initiative Optimisation : Monitor and track the performance of key strategic initiatives capitalising on optimisation opportunities to enhance operational outcomes.
• KPI Implementation and Target Setting : Lead the development and implementation of the operations KPI tree and the target-setting framework integrating these within reporting pipelines and strategic operations.
• Stakeholder Collaboration and Process Standardisation : Collaborate closely with various stakeholders to standardise processes across forecasting scheduling and real-time operations promoting continuous improvement and strategic alignment.

This is an IC3 role. For more information on our Analytics Career Map and levelling structure click here.

Qualifications :

What youll bring:

• You have 4 years of experience in analytics with a demonstrated ability to approach complex interconnected problems with a systems mindset.
• You have a strong quantitative and statistical background comfortable with probability hypothesis testing regression time series analysis and thinking in terms of models and trade-offs.
• You have experience with operational analytics: efficiency analysis cost modelling performance measurement or process optimisation.
• You think about data as infrastructure. You build with reusability and quality in mind considering how data will be consumed by dashboards other teams and automated systems.
• You have experience with complex data models in SQL (our warehouse is Snowflake) and advanced analysis using Python/R.
• You can tell a story with data and proactively guide strategy based on insights. Experience with visualisation tools like Looker Superset or Tableau.
• You have a bias to action and are an excellent communicator able to own projects end-to-end form your own opinions and influence stakeholders across teams.

Some extra skills that are great (but not essential): 

• 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.

Additional Information :

For everyone everywhere. Were people building money without borders  without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.

Were 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 its like to work at Wise visit .

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Remote Work :

No

Employment Type :

Full-time