Sr. Data Quality Analyst jobs in United States
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Darden · 9 hours ago

Sr. Data Quality Analyst

Darden is a leading restaurant company, and they are seeking a Sr. Data Quality Analyst to implement and support business rules within their data quality framework. This role will be responsible for participating in the full data quality lifecycle, developing technical components, and ensuring data quality standards are met.

Food and BeverageFood ProcessingRestaurants
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H1B Sponsor Likelynote

Responsibilities

Ability to translate business concerns into technical requirements/specifications
Ability to elicit requirements both from business users as well as Data Incident Management. Ensure data issues detected in the past are not repeated in the future
Develop technical specifications that demonstrate how data quality will be preserved/enforced. Maintain as built documentation for the current as-built rules register
Build quality rules code base to monitor data flows and ensure acceptable levels of trust
Participate in Data Profiling POC evaluating product capabilities and make recommendations
Oversee the execution of data profiling both for the purpose of ensuring acceptable quality as part of ingestion but also to understand data shift over time. Adjust these two profiling processes as necessary to meet business objectives
Analyze Profiling and Rule results to ensure business requirements are being met. Fine tune configurations and rules to optimize both results and performance. Make design/process recommendations as needed
Triage data anomalies to determine root cause. Participate in solutioning sessions to determine anomaly resolution and address any data purity issues
Work with the BA team to generate data to power quality dashboards, which allow both data providers and data consumers to monitor data quality
Contribute to business/technical definitions of data objects within the data catalogue
Assist in the creation and maintenance of Data Lineage documentation
Serve as an SME for multiple data domains. Assist business users in the selection, understanding and use of data
Perform UAT on data sets as part of data ingestion, egress, transformation and rule execution
Ensure that all solutions, technical configurations and other work products are thoroughly unit-tested prior to delivery. Participate in system/integration testing as appropriate. Perform reviews and other QA steps as requested
Adhere to Darden SDLC, coding and data standards
Proactively identify data issues or process issues impacting data
Effectively communicate with stakeholders. Ensure issues are analyzed discussed and resolved in a timely manner
Consistently enhance skills and job knowledge by researching techniques, technologies and software products; reading professional publications
Provide for thorough and accurate Data Quality Tool administration to ensure the platform is properly managed

Qualification

Data Quality FrameworkSQLData Profiling ToolsData TransformationInformaticaTalendAlteryxSparkSQLDatabricksData ModelingCloud Data WarehousePower BIPythonScalaJavaAnalytical SkillsProblem SolvingCommunication SkillsTeamwork

Required

Ability to translate business concerns into technical requirements/specifications
Ability to elicit requirements both from business users as well as Data Incident Management. Ensure data issues detected in the past are not repeated in the future
Develop technical specifications that demonstrate how data quality will be preserved/enforced. Maintain as built documentation for the current as-built rules register
Build quality rules code base to monitor data flows and ensure acceptable levels of trust
Participate in Data Profiling POC evaluating product capabilities and make recommendations
Oversee the execution of data profiling both for the purpose of ensuring acceptable quality as part of ingestion but also to understand data shift over time. Adjust these two profiling processes as necessary to meet business objectives
Analyze Profiling and Rule results to ensure business requirements are being met. Fine tune configurations and rules to optimize both results and performance. Make design/process recommendations as needed
Triage data anomalies to determine root cause. Participate in solutioning sessions to determine anomaly resolution and address any data purity issues
Work with the BA team to generate data to power quality dashboards, which allow both data providers and data consumers to monitor data quality
Contribute to business/technical definitions of data objects within the data catalogue
Assist in the creation and maintenance of Data Lineage documentation
Serve as an SME for multiple data domains. Assist business users in the selection, understanding and use of data
Perform UAT on data sets as part of data ingestion, egress, transformation and rule execution
Ensure that all solutions, technical configurations and other work products are thoroughly unit-tested prior to delivery. Participate in system/integration testing as appropriate. Perform reviews and other QA steps as requested
Adhere to Darden SDLC, coding and data standards
Proactively identify data issues or process issues impacting data
Effectively communicate with stakeholders. Ensure issues are analyzed discussed and resolved in a timely manner
Consistently enhance skills and job knowledge by researching techniques, technologies and software products; reading professional publications
Provide for thorough and accurate Data Quality Tool administration to ensure the platform is properly managed
Strong understanding of data structures, data types, and data transformation
Ability to perform complex data mappings, workflows and sessions
Experience with SQL, and other data transformation/analytics tools such as Informatica, Talend, or Alteryx
Expertise in reading, analyzing and debugging SQL
Ability to troubleshoot data processing performance issue
Experience or willingness to learn data profiling/quality tools such as Collibra, Ataccama, Informatica or OEDQ
Experience or willingness to learn SparkSQL and Databricks
Good analytical, problem solving and debugging skills, with strong ability to quickly learn and comprehend business processes and problems in order to effectively analyze result set and triage quality issues
Work in multiple stages of the SDLC from development through production support
Expertise in working with spreadsheets, strong understanding of financial concepts and data
Ability to work independently, take ownership of tasks and follow through to implementation/resolution
Resolve end user data problems through collaboration with both technical and functional personnel in a team environment
Demonstrated competency in developing and testing complex rule sets
Exceptional verbal and written communications skills, with an ability to express complex technical concepts in business terms
Solid teamwork and interpersonal skills
Strong analytical, problem-solving and conceptual skills
Bachelor's degree in IT related discipline or equivalent experience (BS / BA in MIS, Computer Science, Business, Mathematics or Engineering)

Preferred

Data modeling Experience
Experience with Cloud Data Warehouse products such as Snowflake or Azure Synapse
Experience using reporting tools like Power BI for Data quality visualizations
Experience with Python, Scala or Java
Knowledge of restaurant or retail business
5+ years' experience across Business Intelligence/Data Warehouse/Data Lake projects
1+ years' experience on Data Quality and Governance initiatives, with at least one successful implementation
Experience programming in SQL with ability to develop complex queries against large disparate data sets
Experience with data integration patterns, data pipelines and tools such as Azure Data Factory
Knowledge of Data and Delta Lake Structures

Company

Darden’s family of restaurants features some of the most recognizable and successful brands in full-service dining — Olive Garden, LongHorn Steakhouse, Yard House, Ruth's Chris Steak House, Cheddar’s Scratch Kitchen, The Capital Grille, Chuy's, Seasons 52, Eddie V's and Bahama Breeze.

H1B Sponsorship

Darden has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (12)
2024 (9)
2023 (5)
2022 (20)
2021 (2)
2020 (3)

Funding

Current Stage
Public Company
Total Funding
unknown
1995-05-31IPO

Leadership Team

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Christopher Chang
SVP & Chief Information Officer
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Doug Milanes
SVP, Chief Supply Chain Officer
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Company data provided by crunchbase