Senior Data Analyst

Imploy; Riyadh; On-site; SAR 180,000 - 240,000; Full time

Job summary

Imploy is seeking a Senior Data Analyst to transform complex datasets into actionable insights that support strategic decisions, improve business performance, and drive growth.

The role focuses on building interactive Power BI dashboards, writing optimized SQL queries, and ensuring data accuracy across multiple sources. You will collaborate with Business, Product, and Technology teams and present findings to management and stakeholders to guide data-driven decisions.

Qualifications

• Bachelor's degree in a relevant field (Data Analytics, Statistics, CS, Business, or Mathematics).
• 4–7 years of experience in data analysis or BI.
• Strong SQL and Microsoft Excel skills.
• Hands-on Power BI experience (or equivalent BI tools).
• Experience with large datasets and multi-source data integration.
• Excellent communication and ability to present to non-technical stakeholders.
• Proficient in English.

Responsibilities

• Analyze large datasets to identify trends and opportunities.
• Develop and maintain interactive Power BI dashboards and reports.
• Write and optimize SQL queries across sources.
• Translate business requirements into analytical solutions.
• Monitor KPIs and deliver regular performance reports.
• Collaborate with cross-functional teams to define data needs.
• Ensure data quality and reporting accuracy.
• Present findings to management and stakeholders.
• Drive reporting efficiency improvements.

Skills

Analytical thinking

Problem-solving

Communication

English proficiency

Attention to detail

Translating data into insights

Education

Bachelor's degree in Data Analytics/Statistics/CS/Business/Mathematics

Tools

SQL

Power BI

Microsoft Excel

Python

Data visualization tools

Dashboard development

Data modeling

KPI reporting

Job description

We are looking for a skilled Senior Data Analyst to transform complex datasets into actionable insights that support strategic decision-making, improve business performance, and drive growth. The ideal candidate combines strong analytical capabilities with technical expertise in SQL, Power BI, and data visualization, along with the ability to communicate findings clearly to business stakeholders.

Key Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and opportunities for business improvement.
• Develop, maintain, and optimize interactive dashboards and reports using Power BI and other visualization tools.
• Write and optimize SQL queries to extract, transform, and analyze data from multiple sources.
• Translate business requirements into analytical solutions and actionable recommendations.
• Monitor key performance indicators (KPIs) and deliver regular reports on business performance.
• Collaborate with cross-functional teams, including Business, Product, and Technology, to define data requirements and support business objectives.
• Ensure data accuracy, consistency, integrity, and quality across reporting processes.
• Present analytical findings and recommendations to management and key stakeholders.
• Identify opportunities to improve reporting efficiency, data analysis processes, and decision-making practices.

Qualifications & Requirements

• Bachelor's degree in Data Analytics, Statistics, Computer Science, Business, Mathematics, or a related field.
• 4–7 years of relevant experience in data analysis, business intelligence, or a related discipline.
• Strong proficiency in SQL and Microsoft Excel.
• Hands-on experience with Power BI or other business intelligence and data visualization tools.
• Experience analyzing large datasets and integrating data from multiple sources.
• Strong analytical thinking, problem-solving, and attention to detail.
• Ability to translate complex data into clear business insights for non-technical stakeholders.
• Excellent communication and presentation skills.
• Good command of English.

Preferred Skills

SQL | Power BI | Microsoft Excel | Python | Data Visualization | Statistical Analysis | Business Intelligence | Data Modeling | Dashboard Development | KPI Reporting | Data-Driven Decision-Making