Senior Data Analyst

Salla; Saudi Arabia; On-site; SAR 120,000 - 150,000; Full time

Job summary

A leading data solutions company is seeking a Senior Data Analyst in Saudi Arabia. The role involves transforming data into actionable insights, creating dashboards, and supporting various departments with data-related requests. Ideal candidates will have proven experience in data analysis and strong skills in statistical techniques and data visualization. Competitive compensation is offered.

Qualifications

• Proven experience as a Data Analyst or similar role.
• Strong analytical skills with the ability to interpret complex data.
• Experience with data visualization tools.

Responsibilities

• Identify and acquire data from various sources.
• Develop and implement data collection systems.
• Interpret and analyze results using statistical techniques.
• Provide reports and dashboards.

Skills

Data analysis

Statistical techniques

Data visualization

BI tools

Job description

Overview

We are looking for a passionate Senior Data Analyst.

The successful candidate will turn data into information, information into insight and insight into business decisions. Data Analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data Analyst will develop queries, reports, dashboards, and troubleshoot data issue. They will also monitor performance and quality control plans to identify improvements. Data Analyst will assist business departments in interpreting information, reports and dashboards and respond to their requests/questions. In addition, Data Analyst will assist data scientists in different AI projects, data engineers in requirements related to data preparation/management/governance, and data quality assurance officers in data integrity and cleansing activities.

Responsibilities

• Identify and acquire data from different data sources (production, warehouse, external sources) and organize the data in usable formats.
• Develop and implement data collection systems, pipelines, data analytics and other strategies that optimize statistical efficiency and quality.
• Interpret data, analyze results using statistical techniques, create visualizations of data and provide reports, and dashboards.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Use BI tools to analyze data, and extract useful business insights.
• Filter and “clean” data by reviewing reports, dashboards, and performance indicators to locate and correct problems
• Locate and define new process improvement opportunities.
• Supporting business departments and responding to their data-related requests and keeping track of these requests.
• Supporting data engineers in identifying and revising reporting requirements.
• Supporting initiatives for data integrity and normalization.
• Training end-users on new reports and dashboards.
• Work with management to prioritize business and information needs.