About the Role

The Data Quality Analyst will play a critical role in ensuring the quality and integrity of data within the company’s projects. This individual will be responsible for understanding business needs, enhancing metadata, creating visibility tools for data quality, and developing comprehensive dashboards to highlight data KPIs and metrics. The Analyst will work closely with various teams to enrich metadata, assure data quality, and contribute to the data cataloging process.

Responsibilities

Collaborate with the data governance team and business stakeholders to define data quality use cases and scenarios.
Work on enriching metadata in collaboration with the data governance team.
Ensure alignment of data quality metrics with data governance, privacy, and cybersecurity policies.
Collaborate with data & analytics teams, data owners, and stewards to enhance data quality literacy across projects.
Understand and provide visibility on data quality based on business stakeholder requirements.
Analyze data quality in various data environments and address quality issues.
Develop data quality monitors, models, processes, and controls, including dashboards to illustrate data quality from multiple perspectives.
Participate in defining, tracking, and enforcing Data Quality metrics and KPIs across the company's data systems.
Identify data quality risks, facilitate root-cause analysis, and participate in resolving data quality issues.
Present data quality results in a business-friendly manner.
Contribute to the definition and update of business glossaries and data catalogs.
Collaborate in the creation of comprehensive dashboards and reconciliation tools.

Qualifications

Bachelor’s degree in Computer Science, Information Systems, or a related field. MBA is a big plus.
3 years experience in defining and tracking data quality metrics
2 years experience with Quicksight datasets and Power BI
2 years Experience in implementing data quality monitoring and alerting systems.
2 years Experience in working with large and complex enterprise data.
2 years with database structures and hands-on experience with data in AWS.
2 years experience with data cataloging tools and proficiency in SQL/Python for database analysis.
Proven experience in data quality, data analysis, data architecture, database analysis, or data engineering.
Familiar with data lifecycle and experience with Agile methodologies in data projects.
Hand-on experience in AI/ML projects is a significant advantage.
Strong communication and collaboration abilities.

About the Company

Retailogists is your comprehensive retail partner dedicated to optimizing your ROI. Leveraging cutting-edge technology and data-centric digital marketing, we fuel your business growth and help you achieve your objectives. Our seasoned experts simplify the complexities of eCommerce, from devising effective digital strategies to crafting high-performance transactional platforms and executing intelligent marketing plans.

We excel in streamlining your business operations through automation and synchronization, covering areas such as transactional solutions for both B2C and B2B, merchandising, logistics optimization, and systems integrations, including ERP, inventory, and CRM.

We also specialize in building state-of-the-art data infrastructure that empowers you with actionable business insights, ranging from straightforward reporting to AI-driven decision-making.

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Data Quality Analyst