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