Senior Analytics Engineer

Job Title

Senior Analytics Engineer Forecasting & Prediction

Experience

610 years in data modeling, analytics engineering, or advanced analytics roles

Job Summary

We are seeking a Senior Analytics Engineer with strong expertise in data modeling and forecasting use cases. This role focuses on designing high-quality analytical data models that power forecasting and prediction solutions, while ensuring performance, accuracy, and data reliability at scale.

Key Responsibilities

• Design and develop logical and physical data models to support forecasting and prediction use cases
• Build and maintain analytical data structures optimized for time-series and predictive workloads
• Analyze large, complex datasets to identify trends, seasonality, and key drivers
• Translate business and analytical requirements into scalable data models and datasets
• Partner with data scientists and business teams to support forecasting and predictive solutions
• Optimize data models for performance, accuracy, and maintainability
• Define and document data definitions, metrics, and modeling decisions
• Ensure data quality, consistency, and governance across analytical systems

Required Skills and Experience

• 610 years of experience in data modeling, analytics engineering, or related roles
• Strong expertise in dimensional, relational, and semantic data modeling
• Demonstrated experience supporting forecasting and prediction use cases
• Advanced SQL skills and proficiency in Python
• Hands-on experience with cloud data platforms such as Snowflake, Databricks, Redshift, or similar
• Working knowledge of statistical methods and machine learning concepts
• Strong problem-solving, analytical, and communication skills

Nice to Have

• Experience designing datasets for time-series forecasting or ML pipelines
• Familiarity with data transformation frameworks and orchestration tools
• Experience working in product or business-facing analytics teams