Guardian Life

Data Analyst

Guardian Life

full-time

Posted on:

Location Type: Hybrid

Location: PittsfieldMassachusettsNew YorkUnited States

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Salary

💰 $67,980 - $101,970 per year

About the role

  • Write optimized queries to extract and manipulate data from large-scale data environments
  • Cleanse, blend, and transform data, creating automated workflows for efficiency and scalability
  • Design and develop dashboards and reports that adhere to best practices in usability, performance, and storytelling
  • Collaborate with business stakeholders to understand requirements and translate them into technical solutions
  • Validate data accuracy and troubleshoot discrepancies to maintain integrity
  • Document processes, data definitions, and logic for maintainability and knowledge sharing
  • Support self-service analytics by creating intuitive dashboards and providing guidance to end-users
  • Stay current with BI concepts and emerging technologies to continuously improve reporting capabilities
  • Ensure compliance with data governance, security, and privacy standards

Requirements

  • Bachelor’s degree in computer science, Information Systems, Business, or related field
  • 2–4 years of experience in business intelligence, data analysis, or reporting
  • Strong ability to query and manipulate large datasets
  • Experience in data preparation and workflow automation (e.g., Alteryx, Informatica, ETL tools)
  • Proficiency in building dashboards and visualizations (e.g., Tableau, PowerBI)
  • Working knowledge of data modeling, transformation frameworks, and analytics best practices
  • Ability to translate business requirements into scalable technical solutions
Benefits
  • Health insurance
  • Flexible working hours
  • Professional development opportunities
  • Annual bonus opportunities

Applicant Tracking System Keywords

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

Hard skills
data manipulationdata cleansingdata transformationworkflow automationdashboard developmentreportingdata modelinganalytics best practicesquerying large datasetsbusiness intelligence
Soft skills
collaborationcommunicationproblem-solvingattention to detaildocumentation