Remote Data Analyst — Power BI & SQL Dashboards

Namaa Partners; Riyadh; Teletrabalho; SAR 67 000 - 112 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Paid monthly in Saudi riyals, with GOS

Family medical insurance

Twenty-five days of annual leave

End-of-service award under Saudi Labor

Yearly training budget for courses and

Laptop and home-office equipment

Resumo da oferta

Namaa Partners is seeking a Data Analyst to support a Saudi Arabia-based operating performance project. The role is full-time and remote, allowing you to work from home anywhere in Saudi Arabia.

You will turn client data on sales, costs, staffing and operations into clean tables and dashboards for management review. Ideal candidates hold a quantitative bachelor's degree and have hands-on Excel, SQL and Power BI experience, with Python/pandas useful.

Qualificações

• Bachelor's in statistics, mathematics, economics, engineering, computer science or related field.
• Excel with pivot tables and XLOOKUP or INDEX/MATCH.
• Basic SQL: SELECT queries with joins and aggregations.
• At least one dashboard you built, university/internship or work.

Responsabilidades

• Collect extracts from clients' finance, HR and operations systems and check gaps and errors.
• Clean, join and reshape the data in Excel, SQL or Python so business units and years can be compared.
• Build Power BI dashboards that show the performance measures agreed for each engagement.
• Write short notes that explain what changed in the numbers and why.
• Record every source, assumption and adjustment so the work can be checked.

Formação académica

Bachelor's in statistics, mathematics, economics, engineering, computer science or related field

Ferramentas

Excel

SQL

Power BI

Python (pandas)

Descrição da oferta de emprego

Namaa Partners is seeking a Data Analyst to support a Saudi Arabia-based operating performance project. The role is full-time and remote, allowing you to work from home anywhere in Saudi Arabia.

You will turn client data on sales, costs, staffing and operations into clean tables and dashboards for management review. Ideal candidates hold a quantitative bachelor's degree and have hands-on Excel, SQL and Power BI experience, with Python/pandas useful.