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™.