Data Analyst Senior

Summary

Join Experian as a Data Analyst to support projects focused on data accuracy and consumer advocacy. Analyze complex data trends across various credit data types to inform strategic decisions. Deploy analytical workflows and machine learning models to enhance data quality and operational efficiency. Translate high-level requirements into technical specifications and communicate findings through compelling visualizations and presentations. Collaborate with internal clients to resolve data quality issues and partner with various teams to shape data-driven programs. This role requires strong analytical skills, proficiency in various data tools and programming languages, and experience in the financial services industry.

Requirements

• Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Applied Mathematics, or a related quantitative field; or equivalent practical experience
• Verbal and Written english skills
• 5+ years of experience in analytics, SQL, and proficient in relational and distributed data systems such as Aurora, MySQL, Hive, Athena
• Experience analyzing large datasets using tools like Alteryx, Python, SAS, R, AWS Glue, etc
• Deep interest in data modeling, machine learning, or GenAI, and proficiency in tools such as Python (NumPy, pandas, scikit-learn, TensorFlow, PyTorch) and Spark
• Experience building and delivering insights through data visualization and BI tools such as Tableau, Power BI, Qlik, and Microsoft excel (can write advanced macros) (can maintain complex spreadsheets)/PowerPoint
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP)
• Prior experience in the consumer credit, lending, or financial services industry
• Knowledge of data domains such as CRRG/Metro2 standards, public records, credit inquiries, and commercial credit data

Responsibilities

• Analyze complex data trends across consumer, commercial, housing, and alternative credit data to create insights that inform strategic decisions
• Deploy analytical workflows, scalable data pipelines, data science solutions, and machine learning models to enhance data quality and operational efficiency
• Translate high-level requirements into clear technical specifications, data models, and process flow diagrams that support solution development
• Communicate analytical findings through compelling storytelling, data visualizations, and executive-level presentations to guide partner decision-making
• Collaborate with internal clients to assess and resolve data quality issues, offering expert guidance as part of established data remediation programs
• Partner with teams including Data Ops, Product Development, Compliance, and Audit to gather insights and feedback that shape data-driven programs and product strategies

Benefits

• Medical, life and dental insurance
• Asociacion Solidarista
• International Share Save Plan
• Flex Work/Work from home
• Paid time off
• Annual Performance Bonus
• Education Reimbursement
• Family Bonding
• Bereavement Leave
• Referral Program