Associate Data Analyst

Description

At Darling Consulting Group (DCG), we pride ourselves on making the complex simple and building lasting relationships with our clients. The Associate Data Analyst supports DCG’s Data Operations team in delivering high-quality, timely data to DCG’s analytics products and services. This role is ideal for someone eager to learn DCG’s business, contribute to current data processes, and help shape next-generation data and analytics workflows, including learning how to use approved AI tools effectively.

Key Responsibilities:

· Data Processing & Validation:

• Support existing data pipelines, working with a wide variety of flat-file data formats from hundreds of financial       institutions.
• Validate and analyze data outputs for DCG’s suite of analytics software, identifying and remediating data quality issues and       gaps.

· Data Quality & Standards:

• Maintain and document DCG’s data quality.
• Ensure workflows and data standards are consistently followed.

· Client & Internal Support:

• Provide support for client-facing and internal data-related inquiries.
• Coordinate client communications related to data updates and changes.

· Collaboration & Knowledge Sharing:

• Collaborate with peers and leadership to identify opportunities to enhance client experience and operational efficiency.
• Learn from senior teammates and share knowledge with the team.

· Process Improvement & AI:

• Contribute to the design, documentation, and implementation of process improvements.
• Learn and apply approved AI tools to data validation, analysis, and documentation, with guidance from senior teammates.

Requirements

· Education and Experience:

• Bachelor’s degree or equivalent practical experience.

· Skills:

• Data Knowledge: Eagerness to learn banking and credit union data and DCG’s analytics products.
• Technical Skills: Foundational knowledge of SQL and Microsoft Excel.
• Analytical Skills: Strong analytical and problem-solving skills with exceptional attention to detail.
• Communication: Effective communication skills.
• Collaboration: Demonstrated ability to work collaboratively as part of a team.
• Organizational Skills: Effective time management and the ability to work in a fast-paced, deadline-driven environment while managing multiple priorities.
• AI Mindset and Adoption: Curiosity and openness toward AI, actively learning how to use approved AI tools effectively.
• Preferred Knowledge: Python, Tableau, Power BI, or similar tools; ALM, financial modeling, or financial analysis.