Senior Data Analytics Engineer - FinCrime

Zepz is dedicated to breaking down barriers for cross-border communities through innovative finance and technology solutions. The Senior Data Analytics Engineer will play a crucial role in optimizing business strategies by building and maintaining data models, collaborating with various teams, and driving data-driven decisions that impact the business.

Responsibilities:

• Build and maintain scalable and reliable data models to expose high-quality data for analysis and reporting
• Work closely with analysts and business stakeholders to understand commercial requirements, translating them into technical solutions that enable reliable self-serve data for decision-making
• Work in a collaborative, cross-functional way to identify and quantify opportunities, enabling data-driven business decisions and identifying opportunities for improvement through analysis, A/B testing, and tracking, with a strong emphasis on extracting actionable, in-depth business insights
• Ensure all data and output is of high quality — tested, automated, scalable, and well-documented. You will develop standards and best practices for data consumption and educate data consumers
• Champion the use of data to optimize business performance and bring fresh analytical ideas to the table
• Present results and complex concepts back to the business in a structured, data-driven manner, simplifying them for non-technical audiences
• Identify opportunities to reduce complexity and increase efficiency across our data models and data warehouse infrastructure
• Develop and implement robust data cleansing, validation, and transformation processes to ensure the accuracy, consistency, and reliability of data across all sources
• Translate complex analytical findings into clear, compelling narratives and visualizations for both technical and non-technical audiences, influencing strategic decision-making

Requirements:

• You are highly proficient with daily use of SQL and have hands-on experience in a modern cloud data warehouse/ lakehouse environment (e.g., Databricks, BigQuery, Redshift, Snowflake)
• You're comfortable automating processes and developing production-standard Python scripts to extract data, perform analysis, and build pipelines
• You have the ability to work confidently with the tools of modern software engineering, such as the command line, version control (Git), testing, and performing code reviews
• You have a problem-solving approach that gets to the underlying business questions, using a variety of data sources and information to find the answer
• You see yourself as a strategic partner who wants to understand the business problem and can clearly communicate the commercial impact of your technical solutions
• You are an advocate for data-driven decision-making who strives to improve processes, establish best practices, and define standards
• You are passionate about learning, able to quickly adopt new business concepts and technologies, and are an independent, curious person who likes to take initiative
• You have an open mind with respect to diversity and inclusivity. Our team (and customers) come from all over the world
• You have familiarity with dbt to design and implement data models
• Experience with data orchestration tools
• AML Transaction Monitoring definition, calibration, testing and documentation. Experience with regulatory testing regimes such as DFS rule 504 a plus
• Customer risk rating definition, calibration, testing and documentation