Erie Insurance is looking to solve problems related to data management, storage, and utilization of structured and unstructured data from internal and external sources. The company aims to improve decision-making by performing general analytics and statistical modeling, identifying data patterns and trends, and providing inputs for complex Data Science, Big Data Mining projects, and data governance teams. The role is critical in driving AI initiatives by ensuring high-quality, accessible, and well-governed data, supporting data lifecycle management, data quality, metadata curation, and data compliance processes.
Requirements
- Experience in data analysis/modeling applications and programs and relational technologies required. (Examples: Qlik, Excel, SAAS, NoSQL technologies such as MarkLogic, AWS Redshift, relational technologies such as Oracle, SQL, OLAP, OLTP)
- Amazon Web Services
- Apache Hadoop
- Automation
- Business Intelligence
- Data Lakes
- Data Profiling
Responsibilities
- Leads the data management, storage and utilization of structured and unstructured data from internal and external sources of moderate to high complexity.
- Responsible for performing general analytics and knowledge on statistical modeling on existing data sets in various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Financial Services, Scientific Research, etc.).
- Activities include: defining data requirements (may involve writing Pseudo code), data collection, processing, cleaning, analysis, data integration, interpreting the data modeling and creating the visualizations.
- Examines and identifies data patterns and trends to help answer business questions and improve decision making.
- Provides inputs for complex Data Science, Big Data Mining projects and data governance teams.
- Identifies areas to increase efficiency and automation of data analysis processes.
- Serves as lead within a project team. Leads large work efforts within a portfolio. Leads the creation of data requirements, data quality, code/decode process, reporting and analytical tools and technologies.
Other
- With limited supervision, leads the data management, storage and utilization of structured and unstructured data from internal and external sources of moderate to high complexity.
- Collaborates with vendor partners to ensure consistency and quality of deliverables across the enterprise.
- Collaborates with other analysts to mature the data analyst practice.
- Reviews deliverables of other staff.
- Bachelor's degree in IT, MIS, Business, or related field, and five years’ related experience; or Associate degree in a technical field, and seven years' related experience; or High school diploma and nine years' related experience required.
