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Hybrid Ephrata, PA Position Description:
Analyze large, complex datasets to identify trends, patterns, and insights that support business decisions Lead data projects from concept through delivery, ensuring alignment with business goals Translate business questions into analytical approaches and provide clear, actionable insights Partner with cross-functional teams to understand data needs and deliver solutions Present findings and recommendations to senior stakeholders and leadership Apply statistical analysis and machine learning techniques to solve complex business problems Develop and maintain data models for forecasting and scenario planning Ensure data quality and integrity through audits, validation, and governance best practices Collaborate with data engineering and IT teams to improve data pipelines and infrastructure Drive automation initiatives to improve reporting efficiency and reduce manual work Establish best practices for data analysis and visualization Mentor junior analysts and provide guidance across the team
Required Skills:
Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred) 5+ years of experience in data analytics, business intelligence, or a related field Advanced proficiency in SQL, data modeling, and ETL processes Strong experience with data visualization tools (Power BI, Qlik) Proficiency in Python or R for statistical analysis, modeling, and automation Experience with AWS technologies (S3, Athena, Redshift) or other cloud platforms Knowledge of emerging analytics approaches, including AI-driven solutions and examples of the outcomes that were delivered Experience working with large datasets and complex data environments Strong problem-solving skills and attention to detail Excellent communication skills, with the ability to present to both technical and non-technical audiences