Data Analyst

This is a remote position.

Key Responsibilities

Data Management & Advanced Analysis

• Data Collection & Preparation: Collate, clean, filter, and organize large datasets from various sources such as databases, spreadsheets, and external APIs. Use existing R scripts and support coding, analyzing, and collating survey data.
  
• Data Quality Assurance: Conduct thorough validation and consistency checks, resolving discrepancies to maintain high data integrity.
  
• Statistical Analysis: Perform exploratory, descriptive, inferential, and multivariate statistical analyses. Apply appropriate tests to establish the significance of results and provide evidence-based conclusions.
  

Visualization, Reporting & Presentation

• Develop clear, impactful dashboards, charts, and reports using Tableau, Power BI, or Excel, presenting complex data in a simplified, compelling way.
  
• Prepare and deliver presentations that effectively communicate data insights, trends, and recommendations to both technical and non-technical audiences.
  
• Prepare regular and ad-hoc reports tailored to diverse stakeholders, ensuring outputs are both insightful and accessible.
  

Cross-Functional Collaboration

• Partner closely with Culture Coaches, Customer Success, Marketing, Sales, and the Lists team to ensure data quality supports business needs and enhances products.
  
• Assist senior team members on strategic or ad-hoc projects, delivering data-driven support that influences key decisions.
  

Research & Continuous Improvement

• Research and identify emerging data trends relevant to workplace culture, exploring new ways Great Place to Work can analyze and present data for impact.
  
• Recommend enhancements to data analysis methods, tools, and workflows to drive efficiency and insight.
  

Problem-Solving & Optimization

• Use data creatively to help solve business challenges. Translate complex problems into analytical tasks, identify patterns, and propose actionable solutions.
  

Data Privacy & Compliance

• Maintain strict confidentiality and handle data responsibly, ensuring compliance with data privacy regulations and internal governance standards.
  

Professional Growth

• Stay current with industry trends, tools, and techniques in data analytics, visualization, and machine learning. Continually develop expertise in statistical analysis and advanced data methods.
  

Requirements

Qualifications & Experience

• Education: Bachelor’s degree (or higher) in a quantitative field such as Statistics, Computer Science, Economics, Sociology, or Quantitative Psychology.
  
• Experience: Minimum 5 years in a dedicated data analysis role, with demonstrated experience in:
  
• Cleaning, transforming, and merging large datasets from multiple sources.
  
• Conducting descriptive, inferential, and multivariate statistical analyses.
  
• Developing advanced dashboards and visualizations.
  
• Presenting complex data and insights clearly in both written reports and live presentations.
  

Technical Skills

• Proficiency in statistical analysis tools such as R, Python, SPSS, or STATA.
  
• Strong SQL skills for querying and managing relational databases.
  
• Advanced Excel, including pivot tables and complex formulas.
  
• Skilled in data visualization platforms like Tableau or Power BI.
  

Core Competencies

• Analytical Mindset: Ability to distill complex datasets into clear, actionable insights.
  
• Attention to Detail: Commitment to data accuracy, validation, and high standards.
  
• Communication: Strong verbal and written skills to present complex findings in a simple, impactful manner, including confident delivery of presentations.
  
• Collaboration: Effective team player who works well with remote and cross-functional teams.
  
• Organization & Time Management: Capable of managing multiple priorities and meeti