Data Analyst

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 meeting tight deadlines.

• Adaptability:

Quickly learns new tools and adjusts to evolving business needs.

• Solution-Focused:

Uses data creatively to identify opportunities and solve problems.

The scope of this role may grow or evolve over time in alignment with the organization’s strategic priorities and business needs.

✅ Location Note: This is a fully remote role based in Egypt, requiring strong virtual collaboration with regional and international teams. Standard business hours apply, with flexibility to support cross-time zone meetings as needed.

Join us in shaping the future of work in Egypt and empowering organizations to create great workplaces For All™.