About the company
Nayax is a leading global fintech company founded in 2005 that offers a comprehensive solution to businesses around the world, aiming to improve their revenue and operational efficiency. Our vision is to create frictionless commerce experiences for both businesses and consumers, benefiting communities around the world. We value integrity, accountability, and honesty, values which are reflected in the way we work as we accompany our customers every step of the way on their road to success. Today, our global influence is reflected in our listing on both Nasdaq and the Tel Aviv Stock Exchange (TASE) and our 11 global offices with 1100 employees. Nayax Israel is our largest site, housing over 20 different departments and located in the prestigious Herzliya Hills, just a short drive north of Tel Aviv or a very short walk from the train station. Our open space offices accommodate our 500+ employees and when weāre not hard at work, you can find us enjoying an afternoon coffee on the balcony.
Job Summary
Key Responsibilities:
šData Collection and Processing: Gather data from various sources, including databases, APIs, and internal systems. Ensure data accuracy, completeness, and reliability through data validation and cleaning processes. Support AML and Finance departments in gathering and cleaning the data needed for companyās reporting purposes. Analyze company clientsā information and provide insights. šData Analysis: Conduct descriptive, diagnostic, and exploratory data analysis to uncover trends, anomalies, and insights. Utilize statistical methods to interpret data and provide recommendations. šReporting and Visualization: Create dashboards, visualizations, and reports to present findings in an understandable and actionable format. šUse tools such as Qlik Sense, Tableau, Power BI, or Google Data Studio to build visual representations of data. šCross-Functional Collaboration: Work closely with other Nayax Europe UAB and Nayax Ltd. departments, such as, AML, Compliance, Finance, Product, Operations, IT and Marketing, to understand data needs and provide data-driven insights that support business initiatives. šTrend Analysis and Forecasting: Identify patterns and trends in complex datasets. Develop models to predict future trends and outcomes. šData Governance and Quality Assurance: Maintain high standards of data quality, ensuring that all data analysis processes are compliant with the regulatory requirements and company policies, as well as data protection regulations. šContinuous Improvement: Actively seek opportunities to improve data collection methods, analysis techniques, and reporting processes. šRecommend process improvements based on insights gathered.
Requirements
šEducation: Bachelorās degree in data science, Statistics, Mathematics, šComputer Science, Economics, or a related field. A masterās degree is a plus. šExperience: 1-3 years of experience in data analysis, business intelligence, or a similar role. šTechnical Skills: Proficiency in SQL for data extraction and manipulation. Experience with data visualization tools like Qlik Sense, šTableau, Power BI, or Google Data Studio. Knowledge of statistical analysis software and programming languages (e.g., Python, R). šFamiliarity with Excel and other data management tools. šAnalytical Skills: Strong analytical and problem-solving skills, with a keen attention to detail. Ability to interpret and communicate complex data in a simple, actionable way.
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