Data analytics Specialist

Role Overview

Data Analytics Specialist at Ninja. This role transforms raw operational and transactional data into actionable insights that support business decisions and improve operational performance.

Role Purpose

Translate business requirements into meaningful analysis, reports, and dashboards. Work closely with cross-functional teams to identify trends, investigate performance issues, and enable data-driven decision-making.

Key Responsibilities

Data Extraction & Query Development

• Write advanced SQL queries using CTEs, window functions, and multi-table joins to extract, aggregate, and analyze large datasets.
• Develop automated audit checks to ensure data accuracy, consistency, and quality.

Analytics & Reporting

• Build and maintain dynamic dashboards, forecasting models, and operational trackers using Google Sheets.
• Define and monitor KPIs to measure business and operational performance.
• Present analytical findings and recommendations to cross-functional stakeholders and leadership.

Analysis & Insights

• Conduct root-cause analysis, identify trends, and investigate operational performance issues.
• Translate business requests into structured data models and actionable insights.
• Support continuous improvement through data-driven recommendations.

Qualifications & Experience

• 2–3 years of experience in Data Analytics or Business Intelligence.
• At least 2 years of hands-on experience writing advanced SQL queries.
• Bachelor's degree in a relevant field is preferred.

Skills & Competencies

• Strong SQL knowledge, including CTEs, window functions, and complex joins.
• Advanced Google Sheets skills, including QUERY, IMPORTRANGE, ARRAYFORMULA, XLOOKUP/VLOOKUP, and dynamic Pivot Tables.
• Experience with data visualization tools such as Looker Studio or Power BI.
• Experience working with databases such as BigQuery, PostgreSQL, MySQL, or Snowflake.
• Strong analytical thinking, problem-solving, and root-cause analysis skills.
• Excellent English communication skills; professional Arabic is strongly preferred.