SENIOR DATA ANALYST - FRAUD PREVENTION

Teya exists to make sure that every small and growing business in Europe has the opportunity to thrive. We want to become Europe’s go-to software solution for these businesses, simplifying their every day and helping them reconnect with the joy of running their business. Teya was born in 2019 and is home to over 1,000 employees in 15+ countries. We've built a fast-paced, energetic, and innovative environment that is dedicated to bringing the best solutions to customers.Your MissionYou will be a part of a joint team of machine learning engineers and data scientists building and evolving ML models, real time systems, reports, and deep analysis of fraud detection and mitigation activities to protect merchants, their customers, and Teya from fraudulent activities.Working with advanced predictive models and scalable software systems, build and grow intelligent solutions to reduce all kinds of risk and allow Teya to focus on effectively serving our merchants. Key individual contributor for a diverse and innovative team to create deep understanding of big data inputs and contribute to continuous improvement while addressing fast-moving risks and opportunities.Working with senior product, business, and engineering leaders to analyze data, identify opportunities for building new models, build and maintain real time dashboards, and deliver insights through in-depth reports. Collaborate with your peers across Teya to share insights and enable real-time decision making wherever opportunity arises.As a Senior Data Analyst on the Fraud Prevention team you will:Lead with data to design, develop, and implement solutions for Fraud Prevention;Collect, store, and analyse large data sets;Integrate data into business processes and systems;Write complex SQL queries and scripts;Collaborate with cross-functional teams, including data scientists, ML engineers, product managers, and business analysts;Build and maintain dashboards and reports in a variety of environments including Snowflake and Tableau;Effectively manage business stakeholders and drive initiatives to promote actionable insights, identifying and prioritising requirements and owning a roadmap of deliverables;Analyse external customer and internal business data working with teams across different countries to drive optimisation of our products;Build predictive models to accurately forecast our numbers and evaluate against the budget and actuals.Promote a data-driven culture across the businessYour StoryBasic Requirements5+ years of professional data analyst experience in a technical domainHighly proficient in SQL and Tableau (or equivalent BI tool)Good analytical and problem-solving skillsSelf-starter, comfortable in a fast-paced environment and able to adapt to changing circumstances quicklyCapable of translating complex data into understandable conclusions and recommendationsAbility to think creatively and insightfully about business problemsGood written and verbal communication skillsPreferred RequirementsExperience with Machine Learning and Python (time-series analysis, forecasting)Familiarity with AWS environment (SageMaker, S3, Redshift)Familiarity with SnowflakeBachelor's degree in mathematics, statistics, or relevant experience in related fieldThe PerksHealth Insurance;25 days of Annual leave (+ Bank holidays);Office snacks every day;Friendly, comfortable and informal office environment;Flexible working hours, as long it suits both you and your team.