Hybrid Senior Data Analyst

at Guardian Life

• Job title: Senior Data Analyst
• Job type: Full Time
• Experience level: Senior
• Salary: $79,310 - $130,295 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, ETL, PySpark, Python, SDLC, SQL
• Location requirements: Hybrid, Bethlehem, United States

About the role

• Senior Data Analyst in Enterprise Strategy & Growth Initiatives developing data pipelines for predictive analytics and working with cross-functional teams. Ensuring data quality and collaborating to deliver actionable insights.

Responsibilities

• Design, build and maintain robust & scalable data pipelines to feed descriptive analytics and predictive analytics use cases.
• Construct meaningful data assets sourced from structured, semi structured, and unstructured data.
• Ensure data quality, accuracy and integrity of the data assets created.
• Automate the data pipelines end to end.
• Participate in data modeling and schema design.
• Work closely with business stakeholders and data scientists to understand the business process and data needs to translate them into an effective data solution.
• Collaborate with Stakeholders, Analysts, and Data Scientists to understand the data requirements & deliver optimal solutions (Training, Testing, and Live Scoring).
• Collaborate with cross-functional teams to identify the right data sources for the use cases.
• Perform data discovery and analysis on various data sources.
• Find and tell the compelling narrative of the data that aligns to the intended audience.
• Create and maintain Data Dictionary for the data pipelines.
• Participate in code reviews and documentation efforts to maintain high-quality code and data documentation.

Requirements

• Bachelor’s degree in STEM related field or equivalent
• At least 5 years of experience in Data/Feature/ML Engineering or similar role
• Strong understanding of engineering principles, best practices, and software development life cycle
• Proficiency in SQL, Python, PySpark and bash scripts
• Knowledge of Databricks
• Experience with the design and development of ETL/ELT process
• Experience working in a Data warehouse
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills to work across multiple groups within the organization
• Nice to Haves: Experience in the insurance industry, Experience working with Data Science, Experience working with/creating point-in-time data assets, Experience with Databricks Workflows, Experience with AWS Tools and Services

Benefits

• Annual, sales, or other incentive compensation
• Contemporary, supportive, flexible, and inclusive benefits and resources