As an Analytics Engineer, you will be responsible for designing, developing, and maintaining data infrastructure and analytics solutions to support data-driven decision-making and reporting.
You will collaborate with other internal teams such as Business Intelligence, Credit / Structuring, Operations, Legal, and other stakeholders to understand business requirements and translate them into technical solutions.
You will also engage with external counterparties on data-related matters. Your role will potentially involve working with large and complex data sets, implementing data pipelines, and ensuring data accuracy, integrity, and availability.
Responsibilities
- Develop and maintain data infrastructure : Design, build, and optimize data pipelines, ETL / ELT processes, and data warehouses to support efficient data collection, storage, and retrieval.
- Data modeling and schema design : Define data models and schemas to enable efficient data analysis, reporting, and visualization.
Ensure adherence to data governance and data quality standards.
- Data transformation and manipulation : Cleanse, transform, and aggregate data to derive meaningful insights. Identify data inconsistencies, outliers, and anomalies and implement appropriate solutions.
- Implement data analytics solutions : Collaborate with different company departments and external clientele to understand their requirements and develop analytics solutions that meet their needs.
This may include building dashboards, reports, and interactive visualizations.
- Counterparty Management : Work with external counterparties in situations such as reconciliations, data issues, additional data requests, etc.
- Documentation and communication : Document data processes, data flows, and data structures. Clearly communicate technical concepts and findings to non-technical stakeholders such as Credit / Structuring, Operations, Legal, etc.
Qualifications :
- Bachelor's degree in Computer Science, Information Systems, Data Science / Analytics, or a related field.
- 3+ years of experience as an Analytical Engineer, Data Engineer, Data Analyst,
- Experience working with finance-related data sets (ex : FinTech, Lending, Financial Services, or related industries)
- Advanced SQL skills and experience working with complex data sets.
- Deep understanding of data engineering principles and tools, including data modeling, ETL / ELT practices, data transformation with dbt, data warehousing in Snowflake, and cloud computing with AWS.
- Intermediate experience with Python scripting.
- Proficiency in Tableau Desktop and Tableau Cloud is advantageous.
- Strong analytical and problem-solving skills, with the ability to transform complex data into actionable insights.
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