Senior Analytics Manager CRM
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Job Summary
We are seeking an experienced marketing Senior Analytics Manager to lead our CRM analytics at Wise supporting both Personal and Business customer segments. As a senior member of the Marketing Analytics team you will report to the Head of Marketing Analytics and be responsible for scaling our lifecycle marketing capabilities through rigorous data analysis and strategic leadership.
This is a high-impact cross-functional role that requires close collaboration with CRM Product Data Science and Growth teams. You will own the global measurement framework for CRM ensure the integrity of our data and provide the strategic guidance necessary to prioritise high-value initiatives. This position also includes direct management and mentorship of two CRM analysts with the objective of building a centre of excellence for CRM analytics within the organisation.
Key Responsibilities:
Serve as the primary analytics and business partner to the CRM function providing strategic recommendations to drive customer acquisition engagement and retention.
Design implement and own the global measurement framework for all CRM activities including performance tracking outcome forecasting and incremental impact assessment.
Collaborate with CRM technology and Product teams to define data requirements and improve data quality ensuring robust and reliable data for analysis and decision-making.
Lead performance analysis and insight generation for CRM stakeholders translating complex findings into clear narratives and present strategic updates to Marketing leadership.
Contribute to the development and improvement of our segmentation statistical models and analytical methodologies.
Support the evaluation of propositions and campaigns using rigorous statistical practices.
Manage and mentor two CRM analysts fostering their professional development and building advanced CRM analytics capabilities within the team.
Required Qualifications:
5 years of experience in marketing analytics within CRM/lifecycle marketing including 2 years in a lead capacity with a proven ability to structure and solve ambiguous business problems.
Proven track record of influencing business strategy and driving measurable outcomes through data-driven insights.
Comprehensive technical skillset spanning insight generation data modeling (dbt) reporting and statistical testing methodologies (e.g. A/B testing incrementality).
Extensive proficiency in advanced SQL for complex data manipulation in a data warehouse environment (e.g. Snowflake).
Experience with a programming language such as Python or R for data analysis.
Strong understanding of personalisation techniques and promotion frameworks.
Preferred Qualifications:
Professional experience in fintech e-commerce or a comparable high-growth technology industry.
Experience collaborating directly with Data Science teams on personalisation or predictive modeling initiatives.
Additional Information :
- Salary Range: 100000 - 125000 (depending on experience and interview performance)
- Restricted Stock Units (RSUs)
- Read more about our full benefits offering here
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.
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
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
Wise is a global technology company, building the best way to move money around the world. With the Wise account people and businesses can hold 40+ currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new cro ... View more
