Guardian Life

Senior Data Analyst

Guardian Life

full-time

Posted on:

Location Type: Hybrid

Location: BethlehemNew YorkPennsylvaniaUnited States

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Salary

💰 $79,310 - $130,295 per year

Job Level

About the role

  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythonPySparkbash scriptsETLELTdata modelingdata analysisdata qualitydata integrity
Soft skills
analytical skillsproblem-solving skillscommunication skillscollaboration skills
Certifications
Bachelor’s degree in STEM