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Accenture · 3 weeks ago

Data Quality Associate Manager

United States

Full-time

Remote

Senior Level

$74K/yr - $203K/yr

5+ years exp

Accenture is a leading global professional services company that helps organizations build their digital core and enhance operational effectiveness. In this role, the Data Quality Associate Manager will analyze data quality issues, implement solutions, and collaborate with cross-functional teams to ensure high data quality for reporting and analytics.

Business Information SystemsConstructionConsultingInformation ServicesInformation TechnologyInfrastructureManagement ConsultingOutsourcing

No H1B

Responsibilities

Profile and assess the quality of data by utilizing advanced tools and techniques to analyze data quality characteristics such as completeness, accuracy, consistency, and timeliness

Implement data cleansing strategies to rectify identified data quality issues and discrepancies

Investigate and resolve data quality issues in a timely manner, collaborating with relevant stakeholders as needed

Work with IT and business teams to address underlying issues and implement corrective actions

Prepare and present reports on data quality metrics, trends, and issues to management and stakeholders

Provide guidance, mentorship, and training to team members to incorporate data practices and standards across our delivered services and technology platforms

Qualification

Data Quality ToolsData Profiling ToolsData Quality ProcessesData GovernanceProject ManagementAnalytical SkillsTeam Leadership

Required

Minimum of 5 years of experience in data quality or data management

Working knowledge of Data Quality Tools (e.g., Informatica Data Quality (IDQ), Collibra, IBM Infosphere, Talend, Qlik, Precisely Data Quality 360 etc.)

Working knowledge of Data Profiling Tools

Demonstrated experience implementing data quality processes

Expertise of data quality frameworks and methodologies, and experience applying them in the real world all stages of the data lifecycle

Strong analytical skills to identify data issues

Proficiency in data profiling and cleansing techniques

Familiarity with data governance and compliance standards