Senior Analytics Manager Receive

Your Mission:

Were looking for a Senior Product Analytics Manager to lead analytics for the Receive Squad at Wise. Youll lead a team of 5 analysts who are embedded in product teams that focus on enabling our customers to move money into their Wise Account and fund their Transfers.

The Receive Squad sits at the heart of Wises mission building the critical infrastructure that powers how the world moves money internationally via Wise. We eliminate friction and cost in international payments enabling millions of customers to seamlessly top-up their balance fund transfers and access local account details and payment schemes across the globe. 

Robust analytical leadership is critical to ensure we proactively leverage data to shape our roadmap and drive high-impact initiatives ensuring that every product decision makes moving money faster cheaper and easier for everyone everywhere. 

This is an AL2 role. For more information on our Analytics Career Map and levelling structure click here.
 

What youll be doing:

• Partner with Product/Engineering/Design leads to identify opportunities to improve our product and bring them to life; review team plans and progress giving them effective feedback.

• Create and communicate a clear picture of progress against product goals. Ensure that we have clear goals measurable KPIsnarrate our progress and drive action to accelerate progress.

• Own the data strategy for Receive Analytics: define the roadmap to build the data and tools necessary to scale impact. Increase the speed and effectiveness of decision making across the squad.

• Lead develop and support a team of high performing analysts. Support analyst professional development via performance feedback & coaching; hire and plan capacity and ensure that analyst efforts maximise impact.

Qualifications :

What youll bring:

• 5-6 years experience as an analyst and 2-5 years leading others (can be overlapping)

• You have experience working with product teams: identifying and evaluating opportunities that will maximise impact for customers and KPI progress; evaluating the impact of what you shipped; recommending changes and new initiatives.

• Analytical thinker with strong analysis skills (SQL Python) data modelling (e.g. Airflow dbt) and experience using event data (e.g. Mixpanel).

• Hands-on experience designing and running experiments. You know how to design an experiment and analyse the data to get reliable insights and you know your options when faced with limitations like small sample sizes or short test duration.

• Bias to action: you identify what needs to be done and make it happen.

• You can work independently in a fast-paced environment (able to identify impactful projects and evaluate & triage inbound requests).

• Strong stakeholder management skills - you are collaborative you know how to influence and when to say yes or no to maximise impact.

Additional Information :

BENEFITS:

Base salary of 105k - 150k (based on experience)

RSUs in a growing and publicly listed company 

Work from (almost) anywhere in the world for up to 90 days a year

Flexible working - youre trusted to do the right thing and be responsible

Private Medical Insurance Life Insurance

Discounted gym memberships and cycle to work scheme

A paid 6-week sabbatical leave after four years 

26 weeks maternity leave at full pay

An annual self-development budget

Annual Mission Days festival

Pet friendly offices 

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