Senior Data Analyst - KYC Operations
Senior Data Analyst - KYC Operations
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Job Description
Were looking for a Senior 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 Senior 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 IC2 role. For more information on our Analytics Career Map and levelling structure click here.
Qualifications :
- You have 2 years of experience in analytics with demonstrated ability to approach complex problems with a strategic mindset identifying innovative solutions that drive operational improvements.
- You have a background working with operational team analytics including capacity planning forecasting efficiency analysis quality assurance predictive analytics and experimentation.
- You have experience working with complex data models in SQL (our warehouse is Snowflake) and analysing it using advanced SQL/Python/R
- Able to demonstrate that you can tell a story and proactively give guidance on strategy based on insights
- You have experience with data visualisation tools (Looker PowerBI Tableau etc.) and demonstrate storytelling ability with data
You have a bias to action - you identify what needs to be done and make it happen.
Some extra skills that are great (but not essential):
- Prior experience in Operation domains
- You have experience working with a WFM or Quality team.
- You have experience working with WFM Systems
- You have experience with forecasting techniques such as ARIMA Holt-Winters and other time series analysis methods
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
Employment Type
Full-time
