E&F educação
Business Intelligence Analyst / Data Analytics Manager
Skills
8 days ago
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Important information
Contract type:
Part time
Location:
United Arab Emirates
Work mode:
Onsite
Published on:
12 October 2026
What they need
Role Description This part-time remote role as a Business Intelligence Analyst / Data Analytics Manager at E&F educação focuses on transforming data into actionable insights that support strategic and operational decision-making. The role involves collecting, validating, and organizing data from multiple internal and external sources, designing and maintaining data models, and developing intuitive dashboards and reports for stakeholders. The professional will collaborate with academic, operations, and leadership teams to understand business needs, translate them into analytical requirements, and propose data-driven recommendations. Day-to-day activities include monitoring key performance indicators, identifying trends and opportunities, documenting methodologies, and ensuring data quality and consistency across systems. The role also includes continuously improving existing analytics solutions and supporting colleagues in interpreting data and using BI tools effectively.
Qualifications
- Strong analytical skills with the ability to interpret complex data sets and derive clear, actionable insights.
- Proficiency in data modeling and structuring datasets to support reporting, dashboards, and advanced analysis.
- Experience building and maintaining dashboards using modern business intelligence tools (e.g., Power BI, Tableau, Looker, or similar).
- Background in business analysis, including gathering requirements, mapping processes, and aligning analytics with organizational goals.
- Comfort working with databases and query languages (e.g., SQL) and familiarity with spreadsheet tools.
- Strong communication skills to explain technical findings in clear, accessible language to non-technical audiences.
- Ability to work independently in a remote setting, manage priorities, and meet deadlines in a part-time schedule.
- Bachelor’s degree in Data Science, Statistics, Business, Economics, Computer Science, or a related field, or equivalent practical experience.
- Experience in education, edtech, or service-oriented organizations is beneficial.
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