Data Analytics Engineer - Consumer Lending

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. This role requires a strong technical foundation across cloud infrastructure, databases, and data visualization, as well as the ability to work effectively with large, complex datasets.

The ideal candidate will combine technical expertise and analytical rigor with a strong understanding of business operations and first-line risk management. Strong communication and collaboration skills are essential, as this role will partner with both technical and non-technical stakeholders across the organization.

Primary Responsibilities

• Execute, monitor, and maintain existing data delivery processes and workflows. 
• Design, develop, and implement new data delivery processes to support evolving business needs. 
• Identify, triage, and resolve data quality, process, and production issues as they arise. 
• Partner with team members and business stakeholders to understand key objectives, requirements, and data needs. 
• Apply creative and structured problem-solving to address requests with varying levels of complexity and definition. 
• Analyze complex datasets to generate insights, identify root causes, and deliver actionable solutions and recommendations. 
• Develop and maintain data visualizations and reporting solutions to support business decision-making. 
• Document processes, analytical methodologies, and findings, and communicate results effectively to both technical and non-technical audiences, often within an Agile environment. 
• Prior experience in the credit card or consumer lending industry, particularly in an analytics- or technology-focused role, is preferred.

Required Skills & Experience

• 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.

Education & Certifications

• Required: Bachelor’s degree in Statistics, Data Science, Computer Science, or a related quantitative or technical field. 
• Preferred: Master’s degree in a related field.

Hours & Work Schedule

• Hours per Week: 40
• Work Schedule: Monday - Friday
• Hybrid: 4 days per week on-site, 1 day remote

Pay Transparency

The salary range for this position is $83,000 - $110,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the budget, work location, and relevant skills and experience.

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens’ paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits .