W3Global
Data Analyst - Python
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Data Management Sr Associate
You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our data management associates are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as finance and business management, treasury operations, financial crime prevention, regulatory reporting and analytics. We collaborate with product teams such as card payments, electronic payments, lending, customer onboarding, core banking, and insurance to understand their product data models and deliver tailored data solutions that meet business needs.
Job Responsibilities
- Partner with cross-functional teams to gather requirements, analyze data, deliver accurate reports and develop data-driven solutions that meet those needs.
- Apply domain modelling techniques to design and develop top-tier business products using industry best practices to ensure high data quality and minimize redundancy.
- Maintain data accuracy, integrity, and consistency across all data layers.
- Drive process improvements and automation initiatives to boost reporting efficiency and data quality.
- Collaborate with data engineers to streamline and enhance data reporting workflows through automation.
- Work with internal teams to resolve data issues and discrepancies in reporting.
- Communicate findings and insights to stakeholders using clear and effective visualizations and summaries.
- Assist product teams in extracting and analyzing data for functional testing and data investigations.
- Contribute to data governance and compliance efforts to ensure adherence to standards and regulations.
- Deliver end-to-end reporting solutions on cloud infrastructure leveraging the latest technologies and the best industry practices.
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Required Qualifications, Capabilities & Skills
- Formal training or certification on data engineering concepts and applied experience.
- Recent hands-on professional experience in a reporting, data analysis or business intelligence role.
- Experience in database querying techniques and SQL.
- Understanding of how to manage and optimize queries for large volumes of data within different kinds of data stores (including relational data stores).
- Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.).
- Experience in working with technical data formats (JSON / Avro / Parquet).
- Strong analytical and problem-solving skills.
- Experience in explaining and converting complex concepts into digestible information to be consumed by both technical and business stakeholders.
- Attention to detail and commitment to maintaining data quality.
- Excellent written and verbal communication skills in English.
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Preferred Qualifications, Capabilities & Skills
- Experience in working in a highly regulated environment / industry.
- Understanding of data warehousing concepts and ETL processes.
- Understanding of event-based architecture, data streaming and messaging frameworks.
- Experience in data analysis using Python programming language.
- Understanding of data governance frameworks.
- Understanding of AWS cloud technologies.
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