107 applicants

Company

Original Job Post

The J.M. Smucker Co. · 3 days ago

Analyst, Data Quality

Orrville, OH

Full-time

Onsite

Mid Level

2+ years exp

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Responsibilities

Collaborate with stakeholders and SMEs to leverage data & analytics for business outcomes.

Define and maintain data models, resolve inconsistencies, and drive standardization.

Review, validate, and enrich Data Catalog to ensure common understanding of data assets.

Query, manipulate, transform, and validate data across multiple querying environments.

Partner with data stewards to define and maintain data definitions and metadata.

Design and execute analytics for maintaining data integrity across datasets.

Develop data requirements for metric development and implement data standards and processes.

Maintain data management processes, procedures, and principles.

Provide business insight for data issues and liaise between Analytics and IS.

Maintain competency around data governance tools and coordinate with cross-functional teams.

Ensure data policies, standards, and procedures are implemented and followed.

Monitor data quality and its impact on business outcomes within the scope.

Qualification

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Data GovernanceData StrategyQualitative ResearchQuantitative ResearchStatisticsData AnalysisBusiness Requirements DevelopmentData Integrity ManagementData CommunicationProject ManagementData Structures AnalysisInsights DevelopmentBusiness StrategyData Types FamiliarityProblem-SolvingAnalytical ThinkingCommunicationTime ManagementCoordinationCataloguingLineage ToolsAtlanInformaticaCollibraData.word

Required

Bachelor’s Degree in related field

2+ years of Data Governance experience in domains such as Information Technology, Data Strategy, Qualitative and Quantitative research methods, Statistics or data analysis

Ability to apply a thoughtful and analytical approach to identifying and solving data challenges

Ability to develop business requirements pertaining to data systems, domains, and strategic frameworks

Ability to define and own the responsibility for managing integrity and accuracy of enterprise data

Ability to communicate data requirements to support analysis

Ability to perform multiple projects efficiently and with limited oversight

Proven ability to coordinate and analyze data and data structures, develop insights, and recommend business strategy changes

Experience handling and utilizing all levels of data structure (structured, semi-structured, quasi-structured, and unstructured) in day-to-day applications

Familiarity with a wide array of data types: syndicated POS, panel, survey, media