AI Data Analyst

What you’ll do:

Works independently within Data and Analytics with limited design help from manager or senior associates

Leverage coding best practices and advanced techniques to ensure efficient execution of code against large datasets, ensuring code is repeatable and scalable

Run, create and optimize standard processes to ensure metrics, reports and insights are delivered consistently to stakeholders with minimal manual intervention

Leverage knowledge of data structures to prepare data for ingestion efforts, analysis, assembling data from disparate data sources for the creation of insights; accurately integrate new and complex data sources

Integrate Equifax, customer and third party data to solve internal or customer analytical problems of moderate complexity and report findings to managers and stakeholders

Review output of code for anomalies and perform analysis to determine cause, and work with Data, Analytics, Product and Technology counterparts to implement corrective measures

Ability to communicate impacts and importance of findings on the business (either Equifax or external customer) and recommend appropriate course of action.  Understands the concepts of quantitative and qualitative data and how to relate them to the customer to show value of analysis.

Ensure proper use of Equifax data assets by working closely with data governance and compliance professionals

Gather and preprocess average volumes of raw data from various sources to ensure its accuracy, completeness, and reliability. Demonstrating awareness of ethical considerations.

What experience you need:

BS degree in a STEM major or equivalent discipline

2-5 years of experience in a related analyst role

Cloud certification strongly preferred

Technical capabilities including SQL, BigQuery, R, Python, MS Excel / Google Sheets, Tableau, Looker

Experience working as a team and collaborating with others on producing descriptive and diagnostic analysis

What could set you apart:

Master’s degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline a definite plus

Knowledge of the financial services industry

Contributions to open-source AI projects

Experience with data visualization tools