Data Analysis Specialist

تكامل القابضة; Riyadh; On-site; SAR 120,000 - 150,000; Full time

Job summary

A leading data analytics firm in Riyadh is seeking a skilled Data Analyst to collect, clean, and analyze datasets from various sources. The ideal candidate will have at least 4 years of experience, strong SQL skills, and proficiency in BI tools like Power BI and Tableau. This role offers opportunities to create dashboards that support decision-making and collaboration with engineering teams.

Qualifications

• A master's degree is a plus.
• 4 years of experience in relevant fields.
• Strong proficiency in SQL.
• Advanced skills in BI tools.

Responsibilities

• Collect, clean, and transform datasets for analysis.
• Develop, maintain, and optimize SQL queries and ETL pipelines.
• Perform statistical analysis and predictive modeling.
• Create advanced dashboards and reports.
• Collaborate with stakeholders to define data requirements.

Skills

SQL

Data visualization tools (Power BI, Tableau, Looker)

Data cleaning and normalization

Predictive modeling

Data mining techniques

Education

Degree in computer science, data science or relevant field

Tools

Power BI

Tableau

Looker

Dataiku

Job description

Job Description

Collect, clean, and transform structured and unstructured datasets from multiple sources (databases, APIs, data warehouses, and flat files) for analysis.

Develop, maintain, and optimize SQL queries, stored procedures, and ETL pipelines to ensure reliable data flows.

Perform statistical analysis, hypothesis testing, and predictive modeling to extract actionable insights and support decision-making.

Create advanced dashboards and reports using tools such as Power BI, Tableau, or Looker, ensuring KPIs are tracked and visualized effectively.

Collaborate with data engineers and business stakeholders to define data requirements and ensure alignment between technical outputs and business needs.

Apply data mining, clustering, and regression techniques to detect patterns, trends, and anomalies across large datasets.

Document methodologies, maintain reproducibility of analysis, and adhere to best practices for version control and code management (e.g., Git).

Job Requirements

A degree in computer science, data science or any other relevant field. A master's is a plus

4 years of experience in relevant fields

Data Engineering & Querying: Strong proficiency in SQL

Visualization & Reporting: Advanced skills in BI tools (Power BI, Tableau, Looker, or equivalent) and ability to design performance-optimized dashboards.

Data Wrangling: Ability to handle raw, messy data—cleaning, normalizing, feature engineering, and managing large datasets with performance considerations.

Cloud & Analytics Tools: Familiarity with cloud platforms (GCP BigQuery, AWS Redshift, Azure Synapse) and distributed data systems (Spark, Hadoop) is a plus as well as hands-on experience on Dataiku is a plus.