Sr Data Analyst (Analytics Engineering Focus)

Beacon Hill is a premier National Information Technology Staffing Group, and they are seeking a Senior Data Analyst with an analytics engineering focus. The role requires a strong engineering mindset to optimize code, pipelines, and queries at scale within a Strategic Forecasting & Decision Analytics function.

Responsibilities:

• Strong engineering mindset with a focus on code, pipeline, and query optimization
• 5+ years of hands-on experience using SQL with cloud data warehouses (Snowflake strongly preferred)
• Advanced proficiency in Python (R acceptable but Python preferred)
• Experience optimizing SQL queries and data models for performance, scalability, and cost efficiency
• Hands-on experience with production data pipelines and orchestration tools (dbt, Airflow, or similar)
• Experience engineering and maintaining data solutions using Databricks, Spark, S3, or equivalent platforms
• Solid foundation in statistical modeling and machine learning, including:
• Time-series forecasting
• Regression and causal inference
• Clustering, decision trees, or similar techniques
• Proven ability to work independently, solve open-ended technical problems, and optimize existing systems without guidance
• Experience with analytics and visualization tools such as Looker, Tableau, or Jupyter
• Familiarity with QA frameworks for data and model validation
• Experience supporting forecasting, optimization, or decision-science use cases

Requirements:

• STEM degree required
• Strong engineering mindset with a focus on code, pipeline, and query optimization
• 5+ years of hands-on experience using SQL with cloud data warehouses (Snowflake strongly preferred)
• Advanced proficiency in Python (R acceptable but Python preferred)
• Experience optimizing SQL queries and data models for performance, scalability, and cost efficiency
• Hands-on experience with production data pipelines and orchestration tools (dbt, Airflow, or similar)
• Experience engineering and maintaining data solutions using Databricks, Spark, S3, or equivalent platforms
• Solid foundation in statistical modeling and machine learning, including: Time-series forecasting, Regression and causal inference, Clustering, decision trees, or similar techniques
• Proven ability to work independently, solve open-ended technical problems, and optimize existing systems without guidance
• Experience with analytics and visualization tools such as Looker, Tableau, or Jupyter
• Familiarity with QA frameworks for data and model validation
• Experience supporting forecasting, optimization, or decision-science use cases