Role Overview
The Data Analytics Engineer will serve as a data engineering and analytics resource within a cross-functional team, developing data solutions, processes, and visualizations that support the Consumer Lending business.
What You Will Do
Execute, monitor, and maintain existing data delivery processes and workflows, design and develop new data delivery processes, identify and resolve data quality and process issues, and develop and maintain data visualizations and reporting solutions.
Why It Might Be a Fit
The ideal candidate will combine technical expertise and analytical rigor with a strong understanding of business operations and first-line risk management, and have strong communication and collaboration skills.
Requirements
- Strong SQL skills, including experience with complex queries and stored procedures
- Strong programming skills with proficiency in Python
- Experience developing reports and interactive data visualizations using Tableau
- Solid understanding of data process design, development, testing, and implementation
- Experience working with large-scale datasets in AWS or similar cloud-based data environments, using database tools such as DBeaver
- Ability to synthesize complex datasets, identify root causes, and translate analytical findings into concise, actionable recommendations
- Experience working in a cross-functional analytics, technology, or consulting environment
- Excellent written and verbal communication skills, with the ability to clearly communicate analytical findings, recommendations, and business impacts to non-technical stakeholders
Benefits
- Competitive pay
- Comprehensive medical, dental and vision coverage
- Retirement benefits
- Maternity/paternity leave
- Flexible work arrangements
- Education reimbursement
- Wellness programs
To apply for this job please visit hcgn.fa.us2.oraclecloud.com.
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