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™.