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Data Expert

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: Adilstone Group
Full Time position
Listed on 2026-02-11
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 SAR Yearly SAR 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Data Expert (Ref#016)

POSITION OVERVIEW

We are seeking a highly skilled and detail-oriented Data Expert to lead the collection, interpretation, analysis, and strategic use of data across our organization. In this role, you will work closely with cross-functional teams to turn raw data into meaningful insights that support business decision-making, drive operational efficiency, and enable innovation.

KEY RESPONSIBILITIES

  • Analyze complex datasets to identify trends, patterns, and insights that support strategic and operational goals.
  • Collaborate with business units to understand data needs and deliver actionable dashboards, reports, and visualizations.
  • Ensure data integrity, accuracy, and governance across systems and sources.
  • Develop and maintain data pipelines, ETL processes, and data integration solutions.
  • Recommend and implement improvements to data infrastructure, quality, and analytics practices.
  • Use advanced analytical techniques (e.g., statistical modeling, forecasting, clustering) to solve business problems.
  • Document data sources, definitions, and data lineage to support transparency and compliance.
  • Provide training and guidance to stakeholders on data literacy, tools, and best practices.

QUALIFICATIONS

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field (Master’s preferred).
  • 5+ years of experience working with data in an analytics, engineering, or business intelligence role.
  • Proficiency in SQL and data query languages.
  • Experience with data analysis tools (e.g., Python, R) and visualization platforms (e.g., Power BI, Tableau, Looker).
  • Solid understanding of data architecture, ETL workflows, and data warehousing solutions (e.g., Snowflake, Redshift, Big Query).
  • Strong analytical thinking with the ability to interpret complex data and communicate insights clearly.
  • Familiarity with data governance, privacy standards, and compliance (e.g., GDPR, HIPAA).
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