Wise
Financial Services
LeadProductAnalyst-Onboarding
Neural analysis suggests this role is
optimal for mid candidates.
“Lead Product Analyst - Onboarding at Wise. Skills: quantitative skills, advanced SQL skills, data manipulation, data analysis, data pipelines, data visualisation tools, Python/R, AI tools, machine learning techniques, communication skills, Creative problem solving skills, ability to prioritise in a fast-paced environment. Derive actionable insights from data to inform product decisions. support and improve onboarding and access to Wise for new and existing customers”
What You'll Achieve.
reduce friction; saving costs; improve onboarding and access to Wise for new and existing customers; minimise repetitive tasks; allow data self-serve; Help your team understand their progress and communicate this outside of your team by defining and reporting on KPIs that measure what matters
Industry & Context.
Creative problem solving skills; ability to translate business problems into analytical solutions
What They're Looking For.
Must Have
advanced SQL skills, experience working with data pipelines, communication skills, experience working with data visualisation tools, Python/R, ability to derive actionable insights from data, Creative problem solving skills, ability to prioritise in a fast-paced environment
Nice to Have
Knowledge of the FinTech ecosystem, Knowledge of the Fraud and Authentication space
What You'll Do.
Derive actionable insights from data to inform product decisions
support and improve onboarding and access to Wise for new and existing customers
Build automated data pipelines and dashboards
define and reporting on KPIs that measure what matters
How You'll Work.
Team & Collaboration
Partnering with your product manager, engineers and designers throughout the product development lifecycle; Collaborate with cross functional teams to identify and prioritise opportunities for AI-driven automation and insight generation; work across a horizontal team and collaborate with other domains like Onboarding, Fincrime, Finance, Product verticals and so on
Communication Scope
communication skills; ability to translate business problems into analytical solutions
Full Job Description
Company 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). Job Description We’re looking for a Lead Product Analyst (Individual Contributor) to join the Onboarding squad and the Account Access & Recovery team. The team owns key core flows helping guide users as they register, access and recover their Wise account. As a Lead Product Analyst, your mission will be to deeply understand the needs of our customers as they register to Wise for the first time and/or need to access their account, partner with your cross-functional team to solve the most critical pain points they are facing, drive strategy and growth by providing data driven insights and recommendations. This would mean finding the right balance and friction to deflect bad actors whilst providing legitimate users with a good experience. In this role, you will also have a unique opportunity to work across a horizontal team and collaborate with other domains like Onboarding, Fincrime, Finance, Product verticals and so on. For more information on our Analytics Career Map and levelling structure, click [here](https://wise.jobs/analytics-career-map). WHAT YOU’LL BE DOING: * Derive actionable insights from data to inform product decisions, to help support and improve onboarding and access to Wise for new and existing customers * Partnering with your product manager, engineers and designers throughout the product development lifecycle to build and iterate product changes based on your insights * Eval
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