Data Quality Analyst

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ASMO
Al Khobar
SAR 200,000 - 300,000
Be among the first applicants.
3 days ago
Job description

ASMO is a groundbreaking joint venture between DHL and Saudi Aramco. Inheriting DHL’s logistics excellence and Saudi Aramco’s extensive supply chain ecosystem, we are here to set a new benchmark and redefine the procurement and supply chain landscape, enabling growth.

ASMO aims to be operational in 2025 and provide reliable end-to-end integrated procurement and supply chain services for companies across the industrial, energy, chemical, and petrochemical sectors. Our focus customers in the short term will be Saudi Aramco and its Affiliates. In the long term, all the industrial sectors within Saudi Arabia aim to reach the MENA region.

Objective:

The role holder is responsible for adhering to data quality guidelines and ensuring these are maintained by frequently analyzing data and reporting discrepancies observed or potential root causes of erroneous data. The role holder will handle data across large databases and is required to maintain comparable datasets and abide by information security controls.

General Responsibilities:

  • Assist in designing processes and technologies that enable the organization to utilize enterprise data for business intelligence purposes, under the guidance of senior team members.
  • Contribute to defining data policies, standards, and guidelines to ensure consistency and adherence to best practices, while assisting in their implementation and enforcement.
  • Support coordination with the Master Data Quality Manager to define a metadata repository for digitally and physically storing and cataloguing data, while assisting in its maintenance and organization.
  • Assist in the design and implementation of master data management processes, governance, policies, standards, and tools with the guidance of senior team members.
  • Contribute to the definition of quality assurance policies and standards to ensure consistency in business intelligence reports, while assisting in the identification and resolution of data quality issues.
  • Assist in identifying and highlighting data quality issues to improve the accuracy of reports, supporting senior team members in implementing corrective measures and ensuring reliable data for decision making.
  • Collaborate with the Master Data Quality Manager to provide support in the development, operation, and maintenance of dashboards and reports within the technology environment.
  • Assist in the installation and configuration of business intelligence tools, hardware, and software components, ensuring their proper functioning and compatibility.
  • Perform setup and administration tasks for business intelligence users, ensuring their access and permissions align with their roles and responsibilities.
  • Provide continuous support for the maintenance of business intelligence tools, troubleshooting issues, and ensuring smooth operations.
  • Assist in performing business intelligence performance tuning activities to optimize system performance and enhance the efficiency of data retrieval and analysis.
  • Recommend training and development interventions for team members to build their capabilities.
  • Contribute to the identification of opportunities for the continuous improvement of systems, processes and practices to increase productivity and operational efficiency.
  • Implement all relevant Department’s policies, processes, procedures and instructions so that work is carried out in a controlled and consistent manner.
  • Contribute to the preparation of timely and accurate reports to meet departmental requirements, policies and standards.

Qualifications:

  • Bachelor’s degree in Information Technology, or equivalent from a recognized and accredited university is required.
  • Certified Data Privacy Solutions Engineer (CDPSE) preferred.
  • Demonstrated proficiency in oral and written English.
  • 5 years’ experience in similar or related field.
  • Experience in Information Technology / Data Solutions / Networking / Cybersecurity preferred.
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