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data quality analyst

TAWANTECH

<div>We are seeking a skilled Data Analyst to support enterprise data initiatives by ensuring the accuracy, quality, and usability of business-critical data. This role involves working closely with business and technical teams to analyze data requirements, identify insights, maintain data documentation, and contribute to data strategy and model development across the organization.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul>
<li>Analyze complex data sets to extract actionable business insights.
</li><li>Collaborate with cross-functional teams to understand data requirements and support the development of data strategies.
</li><li>Ensure data quality, reconciliation, and integrity in alignment with governance standards.
</li><li>Perform data profiling and validation, resolving anomalies and inconsistencies.
</li><li>Analyze the data life cycle and contribute to data model development and data flow design for reporting and analytics.
</li><li>Create and maintain comprehensive documentation, including business glossaries, data dictionaries, and data lineage.
</li><li>Support the implementation and ongoing maintenance of data tools (e.g., Axon) to improve data management and visibility.
</li><li>Collaborate with IT and business stakeholders to address data issues and improve overall data usability.
</li></ul>Requirements<h3 class="jobSectionHeader">
Requirements:</h3><ul>
<li>Experience in the banking domain is required.
</li><li>Hands-on experience with NDMO domains and implementation.
</li><li>Proficient in data analysis techniques and tools, with a strong analytical mindset.
</li><li>Experience in data profiling, validation, and resolving data discrepancies.
</li><li>Knowledge of data modeling and ability to contribute to data flow design for data warehouse and big data platforms.
</li><li>Strong skills in creating and maintaining data documentation (glossaries, dictionaries, lineage, etc.).
</li><li>Proven ability to work collaboratively with cross-functional teams and communicate effectively with technical and non-technical stakeholders.
</li><li>Experience with data-related tools (e.g., Axon or similar platforms).
</li><li>Understanding of data quality best practices and a commitment to maintaining high data integrity.
</li><li>Proactive problem-solving skills for timely and effective issue resolution.
</li><li>DAMA certification is a plus.</li></ul></div>

Senior Data Analyst

MASTER-WORKS

<div>Master-Works is seeking a highly skilled Data Quality Expert to join our team remotely. In this role, you will play a pivotal part in ensuring the integrity, accuracy, and reliability of our data across various systems. Your expertise will guide our data quality initiatives and help establish best practices that align with our organizational goals.
Key Responsibilities:<ul>
<li>Assess and enhance existing data quality processes to drive continuous improvement.</li>
<li>Develop comprehensive data quality frameworks, standards, and procedures.</li>
<li>Perform data profiling and analysis to identify issues and recommend actionable improvements.</li>
<li>Coordinate with cross-functional teams to ensure alignment on data governance and quality standards.</li>
<li>Implement data quality assessment tools and metrics to monitor data accuracy and consistency.</li>
<li>Conduct training sessions to educate team members about data quality practices and their importance.</li>
<li>Stay current with industry trends and advancements in data quality management.</li>
<li>Communicate findings and data quality status to stakeholders effectively.</li>
</ul>Requirements<ul><li><ul>
<li>Strong SQL knowledge and skills
</li><li>Telecom domain and associated data assets knowledge (CRM, Billing, CDR, network performance, inventory, .. etc)</li>
<li>Data Quality knowledge and background &bull; DAMA &amp; NDMO standards</li>
<li>ETL &amp; Data integration basic knowledge &bull; Data Profiling and Analysis basic knowledge
</li><li>TM Forum frameworks and standards awareness and background
</li><li>Strong analytical and problem-solving skills</li></ul></li></ul></div>

Data Quality Expert (Remotely)

<div>Master-Works is seeking a highly skilled Data Quality Expert to join our team and lead the effort to ensure the integrity and reliability of our data assets. In this role, you will be responsible for establishing and enforcing data quality standards, conducting assessments, and driving initiatives that enhance our overall data quality processes. Your expertise will play a critical role in supporting strategic decision-making across the organization.
Key Responsibilities:<ul>
<li>Develop and implement comprehensive data quality frameworks and policies that align with business objectives.</li>
<li>Design and establish metrics to measure data quality and monitor data health across various systems.</li>
<li>Conduct data profiling and audits to evaluate the accuracy, completeness, and consistency of data.</li>
<li>Lead root cause analysis of data quality issues and collaborate with cross-functional teams to implement corrective actions.</li>
<li>Provide training and support on data quality standards and best practices to stakeholders and team members.</li>
<li>Stay informed on industry trends and emerging technologies related to data quality, and apply relevant findings to improve practices.</li>
<li>Document data quality processes, guidelines, and best practices for future reference and compliance.</li>
</ul>Requirements<ul>
<li>Strong SQL knowledge and skills
</li><li>Telecom domain and associated data assets knowledge (CRM, Billing, CDR, network performance, inventory, .. etc)</li>
<li>Data Quality knowledge and background &bull; DAMA &amp; NDMO standards</li>
<li>ETL &amp; Data integration basic knowledge &bull; Data Profiling and Analysis basic knowledge
</li><li>TM Forum frameworks and standards awareness and background
</li><li>Strong analytical and problem-solving skills</li></ul></div>

Data Quality expert

Master Works

<div>
 Master-Works is seeking a highly skilled Data Quality Expert to join our team and lead the effort to ensure the integrity and reliability of our data assets. In this role, you will be responsible for establishing and enforcing data quality standards, conducting assessments, and driving initiatives that enhance our overall data quality processes. Your expertise will play a critical role in supporting strategic decision-making across the organization.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and implement comprehensive data quality frameworks and policies that align with business objectives
 </li>
 <li>
 Design and establish metrics to measure data quality and monitor data health across various systems
 </li>
 <li>
 Conduct data profiling and audits to evaluate the accuracy, completeness, and consistency of data
 </li>
 <li>
 Lead root cause analysis of data quality issues and collaborate with cross-functional teams to implement corrective actions
 </li>
 <li>
 Provide training and support on data quality standards and best practices to stakeholders and team members
 </li>
 <li>
 Stay informed on industry trends and emerging technologies related to data quality, and apply relevant findings to improve practices
 </li>
 <li>
 Document data quality processes, guidelines, and best practices for future reference and compliance
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Strong SQL knowledge and skills
 </li>
 <li>
 Telecom domain and associated data assets knowledge (CRM, Billing, CDR, network performance, inventory, .. etc)
 </li>
 <li>
 Data Quality knowledge and background
 </li>
 <li>
 DAMA &amp; NDMO standards
 </li>
 <li>
 ETL &amp; Data integration basic knowledge
 </li>
 <li>
 Data Profiling and Analysis basic knowledge
 </li>
 <li>
 TM Forum frameworks and standards awareness and background
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 </ul>
</div>

<div>Key Responsibilities:<div><ul><li> 
Develop Data Quality Strategy: Establish and maintain enterprise-wide DQ frameworks, rules, and KPIs.</li><li>Define and Govern CDEs:</li><li>Identify, document, and classify Critical Data Elements (CDEs) in collaboration with business and technical stakeholders.</li><li>Ensure CDEs are aligned with business processes, regulatory requirements, and strategic goals.</li><li>Monitor and report on CDE-specific DQ KPIs to ensure they meet required standards.</li><li>Design &amp; Implement DQ Rules: Create validation rules and profiling checks for both general datasets and CDEs.</li><li>DQ Monitoring &amp; Reporting: Develop DQ dashboards and scorecards to track quality dimensions (accuracy, completeness, timeliness, consistency, uniqueness, validity).</li><li>Root Cause Analysis: Investigate data quality issues impacting CDEs and recommend technical or process-oriented remediation actions.</li><li>Metadata &amp; Lineage: Ensure CDEs are linked to metadata repositories and data lineage tools for full traceability.</li><li>Collaboration: Work with data owners, data stewards, and governance committees to prioritize DQ initiatives around CDEs.</li><li>Compliance Support: Ensure CDEs comply with regulatory frameworks (e.g., PDPL, GDPR, HIPAA, ISO standards).</li><li>Tool Expertise: Administer and leverage Data Quality and Governance platforms (Informatica Axon, Collibra, Talend DQ, etc.) to manage DQ rules and CDE repositories.</li></ul></div>
Requirements
Qualifications &amp; Experience<div><ul><li> 
Bachelor&rsquo;s degree in computer science, Data Management, or related fields.</li><li>3&ndash;7 years of experience in Data Quality, Data Governance, or Master Data Management.</li><li>Proven experience in:</li><li>Identifying, defining, and governing CDEs.</li><li>Establishing DQ metrics for CDEs.</li><li>Profiling, cleansing, and validating datasets with a focus on CDEs.</li><li>Knowledge of Data Governance frameworks (DAMA-DMBOK) and regulatory standards (PDPL, GDPR, etc.).</li><li>Familiarity with enterprise data platforms, metadata repositories, and lineage tools.</li></ul></div></div>

Data Quality Engineer

DXC Technology

<div>Job Description:<div>
Essential Job Functions: 
<ul><li>Assist in data engineering tasks, including data processing, transformation, and integration.</li><li>Contribute to data pipeline development and maintenance activities.</li><li>Collaborate with team members on data-related projects to meet data requirements.</li><li>Support data quality assurance efforts and adhere to data standards.</li><li>Use data engineering tools and techniques to complete assigned tasks.</li><li>Learn from more experienced team members and seek opportunities for skill development.</li><li>Stay informed about emerging data engineering technologies and industry best practices.</li><li>Develop a strong foundation in data engineering fundamentals.</li></ul> 

Basic Qualifications: 
<ul><li>Bachelor's degree in a relevant field or equivalent combination of education and experience</li><li>Typically, 1+ years of relevant work experience</li><li>Proficiencies in data engineering tools and technologies</li><li>A continuous learner that stays abreast with industry knowledge and technology</li></ul> 

Other Qualifications: 
<ul><li>Relevant certifications, such as Microsoft Certified: Azure Data Fundamentals or AWS Certified Data Analytics a plus</li></ul></div>
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We&rsquo;re committed to fostering an inclusive environment where everyone can thrive.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.</div>

Analyst II Data Engineering

Renoir Group

<div>WHO YOU WILL WORK WITH
We are a diverse international team of extremely talented and capable individuals who work together to exceed the clients' expectations on every element of every contract. It is our #Changemakers that have made the Renoir Group the success that it is today. As a business with an instinct for delivery and improvement, Renoir is always aware that we must constantly look towards the future and develop the talent that will drive the business forward. It is vital to recruit, develop, reward and inspire the people whose ideas, ambitions and energy constantly refresh Renoir's competitive edge.
WHAT YOU WILL DO<ul>
<li>
The Data Business Analyst will define data, master data and reporting requirements from the business users and proactively challenge those data and reporting requirements along with defining the required Data Governance to implement.</li>
<li>The Data Business Analyst will generate insights and report in an easy-to-understand format and proffer recommendations to solve business problems and improve the utilisation of data across the organisation.</li>
<li>The Data Business Analyst will review and map business processes to understand our client&rsquo;s ways of working and define the Master Data requirements to support each business process to support the Master Data definition for the implementation of our client&rsquo;s digital solutions (ERP, HCM, etc).</li>
<li>The Data Business Analyst will interpret data, patterns, and trends, analyse results, and use statistical techniques along with third-party solutions and provide potential solutions. This will enable turning data into information, information into insight and insight into business decisions through reporting visualisations.</li>
<li>The Data Business Analyst will be able to create the required visualizations and dashboards in Microsoft Power BI, Tableau or Qlik Sense.</li>
<li>The Data business analyst will ensure the data processes are aligned to Renoir&rsquo;s operational model, governance, development, testing standards and deployment model. The Data Business Analyst must ensure that all activities related to the deliverables are aligned with Renoir&rsquo;s Data Governance Model and best practices.</li>
</ul>
Responsibilities:<ul>
<li>
 Gather and define reporting, data and master data requirements from business processes and users.</li>
<li> Define specific Master Data requirements to support the implementation of ERP and HCM solutions.</li>
<li> Proactively identify business challenges in relation to reporting and data.</li>
<li> Conduct a full lifecycle analysis to include requirements, activities, and design.</li>
<li> The Data business analysts will develop analysis and reporting capabilities and identify data needs from Renoir&rsquo;s clients.</li>
<li> Define Data Governance requirements for our clients.</li>
<li> Develop and implement data analyses, data collection systems and other strategies that optimize data efficiency and quality by using third-party systems from Renoir&rsquo;s vendors.</li>
<li> Filter and &ldquo;clean&rdquo; data by reviewing system reports, printouts, and performance indicators to locate and correct data problems.</li>
<li> Scrutinises information using data analysis tools to identify, analyse, and interpret trends or patterns in complex data sets.</li>
<li> Present data findings or translate the data into an understandable document by creating visualizations and dashboards in Microsoft Power BI, Tableau or Qlik Sense, to be presented to business stakeholders to help them interpret and make decisions with the data.</li>
<li>Acquiring data from primary or secondary data sources and maintaining centralized databases.</li>
<li>Collaborating with Renoir&rsquo;s Data Transformation team and client stakeholders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.</li>
<li>Creating appropriate documentation that allows client stakeholders to understand the steps of the data analysis process.</li>
<li>Identify new business questions that can add value to Renoir&rsquo;s clients.</li>
<li>Quantify benefit potential of Data Analytics solutions using ROI frameworks to aid in prioritization of development and definition with the client.</li>
</ul>
Requirements 
<ul><li>
 Bachelor's degree in Computer Science, Computer Engineering, Business Management, or a relevant field.</li>
<li>At least 4 years of experience as a Data Business Analyst, Business Analyst, or similar role.</li>
<li>Experience in Enterprise ERP systems. E.g., Oracle Fusion, Microsoft Dynamics 365</li>
<li>Experience utilizing one of various of the following visualization solutions: Microsoft Power BI, Tableau or Qlik Sense.</li>
<li>Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.</li>
<li>Ability to translate business requirements into technical and non-technical requirements, lay terms and draft a comprehensive document with the requirements (BRD) along with the Master Data needs.</li>
<li>Excellent communication and client engagement skills.</li>
<li>Experience in project management, including planning, execution, and stakeholder management.</li>
<li>Demonstrated experience in Digital Transformation initiatives.</li>
<li>Prior experience in a consultancy role is a plus.</li>
<li>Exposure and proficiency in modern data technologies and cloud environments, with a solid understanding of data management principles and best practices.</li>
<li>Excellent organizational and analytical abilities, with a proven track record of delivering high-quality results on time.</li>
<li>Technical expertise regarding data models and reporting packages.</li>
<li>Experience working in the UI/UX landscape, such as wireframes, prototypes, mock-ups, or whiteboarding to illustrate product usability.</li>
<li>Understanding of addressing and metadata standards</li>
<li>An understanding and appreciation of the consultancy lifestyle.</li>
<li>Experience in the Middle East market and in particular the Kingdom of Saudi Arabia region is preferred.</li>
<li>Excellent oral and written communication skills in English and ideally in Arabic too.</li>
<li>Preference will be given to an immediate starter.</li>
<li>Travelling is required for this role.</li></ul></div>

Data Business Analyst

Explore 1508+ Data quality analyst in Riyadh this September. Find roles across top companies and apply now to boost your career.

1508 data quality analyst jobs IN Riyadh

Senior Data Analyst

Data Quality Expert (Remotely)

Data Quality expert

Data Quality expert

Data Quality Engineer

Analyst II Data Engineering

Data Business Analyst