Lead Data Analyst - Complaints/QA

About Join to apply for the Lead Data Analyst - Complaints/QA role at Wise Join to apply for the Lead Data Analyst - Complaints/QA role at Wise 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. 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 life 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. Job Description We’re looking for an 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 an Lead Data Analyst, you'll 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, you’ll collaborate closely with your operational leads, product managers, designers and engineers to bring your insights into real change for our customers and help drive our mission! About The Squad The squad’s mission - To deliver a seamless experience that minimises effort and scales globally. We believe this will help Wise get to mission zero. Your Mission Maximise the impact of your team by helping them make the best decisions for our customers, using analytics. You’ll Own The Challenge Of Supporting the Operations leadership by providing critical information to assess the health of Operations Size, track performance and identify optimisation opportunities for key strategic initiatives. Lead on implementing Operations KPI tree and operation teams target setting framework in pipelines and reporting. Working on providing in-depth analysis on operation metrics while measuring the corresponding impact on our customers. This Role Will Give You The Opportunity To Be part of a positive change in the world. We’re fixing a broken, greedy system, and putting people and businesses in control of their money Create value from extensive datasets. We have millions of customers, a global set of payment infrastructure and a complex product that customers can use in different ways. There is a tonne of value left to unlock from this data! Influence the team’s direction. Analysts at Wise enable data-driven decision making and have a large impact by helping their teams to decide what to work on. Learn from a global network of professionals. We have a large, diverse team of analysts, data scientists and product managers that you will work with and learn from. Qualifications A bit about you: You have 4+ years of experience in analytics. You have a background working with operational team analytics including capacity planning, forecasting, efficiency analysis and experimentation. You have experience with building data pipelines, using dbt. You have advanced SQL skills. You have experience working with Python/R. You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data. You’re a self-starter who is comfortable working in highly empowered teams. Some Extra Skills That Are Great (but Not Essential) You have experience within a WFM team or experience working with a WFM team. You have experience within complaints and quality assurance. Additional Information What Do We Offer Salary Range: £75,000 - £100,000 (+RSU's) Numerous great benefits in our London office Key Benefits Hybrid working model 25 days Paid Annual holiday + 3 Me Days 15 Sick Days Mobile Wiser - Work abroad for up to 90 days of the year 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're 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 it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Referrals increase your chances of interviewing at Wise by 2x Sign in to set job alerts for “Lead Data Analyst” roles. 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Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr Nice-to-have skills Looker Python R SQL Tableau London, England, United Kingdom Work experience Data Analyst Languages English