Direct message the job poster from Verto
At Verto, we’re passionate about helping businesses in Emerging markets reach the world. What first started life as a FX solution for trading Nigerian Naira has now become a market-leading platform, changing the way thousands of businesses transfer money in and out of Emerging Markets.
We believe that where you do business shouldn’t determine how successful you are, or your ability to scale. Millions of companies a day have to juggle long settlement periods, high transaction fees and issues accessing liquidity in order to trade with African businesses.
We’re on a mission to change this by creating equal access to easy payment and liquidity solutions that are already a given in developed markets. We’re not alone in realizing the opportunity and need to solve for emerging markets. We’re backed by world-class investors including Y-Combinator, Quona and MEVP, power payments for some of the most disruptive start-ups in the world and have a list of accolades from leading publications including being voted ‘Fintech Start Up of the Year’ at Fintech Awards London 2022. Each year we process billions of dollars of payments and provide companies with solutions which help them to save money, automate processes and grow, but we’re only just getting started. We’re seeking a driven and results-oriented Senior Data Analyst who is excited to help build a best-in-class data-led culture. In this role, you will be expected to achieve key milestones such as building LTV, churn and retention models, and influencing product roadmaps by enabling business teams to make confident decisions based on your analysis. You will play a pivotal role in enabling long-term scalability and efficiency when it comes to all things data, and leveraging your expertise in Data Analytics to drive measurable impact. In this role you will: Play a crucial part in driving change in how we report, measure, test & scale Help set best practices in data analysis, visualization, and storytelling Work with stakeholders to think about products and business problems from first principles Build KPI trees and supporting dashboards to achieve a data-led culture Be one of the go-to people for business insights and provide a vital link in the strategy-execution-analysis chain to ensure we move quickly Collaborate with stakeholders to prioritize data projects and align them with business goals Build, maintain, and iterate on advanced analytics models for LTV, retention, churn or others Find and solve problems related to overall data quality and integrity Iterate on existing data models Collaborate with product managers, data engineers, and other stakeholders to understand data needs, identify and resolve issues Implement other potential data tools You’ll be responsible for: Taking ownership of the data analytics projects - from project scoping, design, communication, execution and conclusion Ensuring accuracy, reliability and relevance of north-star metrics/KPIs and definitions Ensuring accuracy and reliability of dashboards Working with Product teams to ensure performance of products/features is measured and understood Working with Engineering teams to ensure prod data capture is accurate, reasonable and scalable Support organization in understanding the importance of data and advocate for best-in-class data practices Mentoring and educating team members on best-in-class DA practices Support quarterly and half-year planning from a Data Analytics perspective Skills and Qualifications University degree; ideally in data/business analytics, maths, economics, finance, numerate or similar +4 years of data analytics experience or equivalent Expert experience building dashboards and providing insights to business Expert experience of SQL (incl. query efficiency and optimization) Expert experience with visualization tools Expert experience in A/B Testing Significant experience in general statistical analysis and/or ML Significant experience with dbt and git Experience within FinTech/Finance Experience in Cloud warehouses Preferred Experience: Experience within FX preferred Experience with Python Experience with AWS stack Seniority level
Mid-Senior level Employment type
Full-time Job function
Referrals increase your chances of interviewing at Verto by 2x
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We’re on a mission to change this by creating equal access to easy payment and liquidity solutions that are already a given in developed markets. We’re not alone in realizing the opportunity and need to solve for emerging markets. We’re backed by world-class investors including Y-Combinator, Quona and MEVP, power payments for some of the most disruptive start-ups in the world and have a list of accolades from leading publications including being voted ‘Fintech Start Up of the Year’ at Fintech Awards London 2022. Each year we process billions of dollars of payments and provide companies with solutions which help them to save money, automate processes and grow, but we’re only just getting started. We’re seeking a driven and results-oriented Senior Data Analyst who is excited to help build a best-in-class data-led culture. In this role, you will be expected to achieve key milestones such as building LTV, churn and retention models, and influencing product roadmaps by enabling business teams to make confident decisions based on your analysis. You will play a pivotal role in enabling long-term scalability and efficiency when it comes to all things data, and leveraging your expertise in Data Analytics to drive measurable impact. In this role you will: Play a crucial part in driving change in how we report, measure, test & scale Help set best practices in data analysis, visualization, and storytelling Work with stakeholders to think about products and business problems from first principles Build KPI trees and supporting dashboards to achieve a data-led culture Be one of the go-to people for business insights and provide a vital link in the strategy-execution-analysis chain to ensure we move quickly Collaborate with stakeholders to prioritize data projects and align them with business goals Build, maintain, and iterate on advanced analytics models for LTV, retention, churn or others Find and solve problems related to overall data quality and integrity Iterate on existing data models Collaborate with product managers, data engineers, and other stakeholders to understand data needs, identify and resolve issues Implement other potential data tools You’ll be responsible for: Taking ownership of the data analytics projects - from project scoping, design, communication, execution and conclusion Ensuring accuracy, reliability and relevance of north-star metrics/KPIs and definitions Ensuring accuracy and reliability of dashboards Working with Product teams to ensure performance of products/features is measured and understood Working with Engineering teams to ensure prod data capture is accurate, reasonable and scalable Support organization in understanding the importance of data and advocate for best-in-class data practices Mentoring and educating team members on best-in-class DA practices Support quarterly and half-year planning from a Data Analytics perspective Skills and Qualifications University degree; ideally in data/business analytics, maths, economics, finance, numerate or similar +4 years of data analytics experience or equivalent Expert experience building dashboards and providing insights to business Expert experience of SQL (incl. query efficiency and optimization) Expert experience with visualization tools Expert experience in A/B Testing Significant experience in general statistical analysis and/or ML Significant experience with dbt and git Experience within FinTech/Finance Experience in Cloud warehouses Preferred Experience: Experience within FX preferred Experience with Python Experience with AWS stack Seniority level
Mid-Senior level Employment type
Full-time Job function
Referrals increase your chances of interviewing at Verto by 2x
#J-18808-Ljbffr
