As a valued contributor to our team, you will be responsible for ensuring the Quality of the data across systems and processes. You will work closely with business stakeholders, data producers, and technical teams to understand business needs, analyze complex data sets, identify key data elements and implement data quality rules and solutions. Your ability to communicate clearly, document processes, and identify trends will be essential in driving data quality standards and supporting data-driven decision-making.
Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.
THE IMPACT YOU WILL MAKE
Understand business context, data requirements, and communicate effectively in both written and oral formats.
Analyze existing data architecture and flows to identify gaps and improvement opportunities.
Perform in-depth data analysis and validation across various data quality dimensions.
Design, implement, and monitor data quality rules and metrics.
Create DQ metadata and migrate the rules to production
Develop and execute test plans, test cases, and validation procedures.
Create process flows, reports, and presentations to document insights and recommendations.
Collaborate with cross-functional teams to define scope, gather requirements, and support SDLC documentation.
Maintain data dictionaries and metadata to ensure consistency and traceability.
Identify, assess, and resolve data quality issues, escalating as needed.
Utilize tools such as SQL, Excel, Visio, and JIRA to support analysis and reporting.
Work in Agile environments to deliver iterative improvements and support continuous data quality initiatives.
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experience
3-5 years of relevant experience
Desired Experience
Bachelor's degree or equivalent
Proven experience as a Data Quality Analyst or Data Analyst.
Strong SQL and analytical skills with keen attention to detail.
Strong documentation skills is a must
Proficiency in MS Office Suite (Excel, PowerPoint, Word, Access), Visio, and JIRA.
Experience with data warehousing concepts and relational databases.
Excellent communication, documentation, and organizational skills. xhyhwjd
Familiarity with Agile methodologies and SDLC processes.
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