Data analytics Specialist
Ninja Open At a glance
Mid-level Data Analysis & BI role at Ninja. Riyadh.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Use SQL with CTEs, window functions and multi-table joins to analyze large operational and transaction datasets
- Build and update Google Sheets dashboards, forecasts and trackers for operational work
- Investigate performance problems, trace their causes and surface trends across the data
- Set KPIs for business and operations, then track results against them
- Turn business requests into data models and recommendations, sharing findings with teams and leaders
What you bring
- Two to three years working in data analytics or business intelligence, including at least two years using advanced SQL
- You can write SQL with CTEs, window functions and complex joins, and build advanced Google Sheets formulas and pivot tables
- You have used a visualization platform such as Looker Studio or Power BI, plus a database such as BigQuery, PostgreSQL or another listed option
- You communicate well in English; professional Arabic is a strong advantage
Who this fits
This mid-level role suits someone who can investigate operational results and explain findings to teams and leadership. The position is on-site in Riyadh.
From the employer
We are looking for a Data Analyst to transform raw operational and transactional data into actionable insights that support business decisions and improve operational performance.
The ideal candidate has strong SQL skills, advanced Google Sheets expertise, and the ability to translate business requirements into meaningful analysis, reports, and dashboards. You will work closely with cross-functional teams to identify trends, investigate performance issues, and support data-driven decision-making.
Key Responsibilities
- Write advanced SQL queries using CTEs, window functions, and multi-table joins to extract, aggregate, and analyze large datasets.
- Build and maintain dynamic dashboards, forecasting models, and operational trackers using Google Sheets.
- Conduct root-cause analysis, identify trends, and investigate operational performance issues.
- Define and monitor KPIs to measure business and operational performance.
- Translate business requests into structured data models and actionable insights.
- Present analytical findings and recommendations to cross-functional stakeholders and leadership.
- Develop automated audit checks to ensure data accuracy, consistency, and quality.
- Support continuous improvement through data-driven recommendations.
Requirements
- 2–3 years of experience in Data Analytics or Business Intelligence.
- At least 2 years of hands-on experience writing advanced SQL queries.
- 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.
- Strong analytical thinking, problem-solving, and root-cause analysis skills.
- Experience working with databases such as BigQuery, PostgreSQL, MySQL, or Snowflake.
- Excellent English communication skills; professional Arabic is strongly preferred.
- Bachelor’s degree in a relevant field is preferred.
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