Senior Data Analyst

The Role

Work Arrangement

• Location is stated as the United Arab Emirates, with a fully remote work arrangement.
• The role is part-time.

Key Responsibilities

• Lead data analysis projects aligned with business and strategic objectives.
• Collect, clean, validate, and interpret data from multiple sources.
• Identify trends, patterns, risks, and opportunities through advanced analysis.
• Develop dashboards, reports, and visualizations for business stakeholders.
• Define and monitor key performance indicators and analytical metrics.
• Translate complex analytical findings into clear business recommendations.
• Collaborate with finance, operations, marketing, product, and technology teams.
• Investigate performance gaps and recommend data-driven improvement initiatives.
• Establish data quality checks and maintain reliable analytical processes.
• Present insights and recommendations to managers and senior stakeholders.

Requirements

• A bachelor’s degree or equivalent qualification in Data Analytics, Statistics, Computer Science, Business, or a related field is preferred.
• Three or more years of relevant data analysis, business intelligence, or analytical experience are preferred.
• Strong understanding of data analysis, statistical concepts, and business intelligence principles is required.
• Proficiency in spreadsheets, SQL, data visualization, and analytical reporting is required.
• Familiarity with dashboards, KPI development, data quality, and performance measurement is required.
• Strong critical-thinking, problem-solving, quantitative, communication, presentation, and attention-to-detail abilities are required.
• Ability to work with large or complex datasets, manage multiple priorities, and work independently remotely is required.

What We Offer

• Flexible part-time working arrangements in a fully remote environment.
• Competitive compensation aligned with experience and responsibilities.
• Opportunity to influence business strategy through meaningful data insights.
• Exposure to diverse datasets, business functions, and analytical initiatives.
• Professional growth through advanced analytics and cross-functional projects.
• Collaborative international environment focused on innovation, measurable impact, and continuous learning.