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Summary: This is a Data Quality Analyst role for the Enterprise Data Strategy team, focused on the PROVIDER data domain. The Data Quality Analyst - Provider Data Domain is a downstream data role that requires a candidate with strong data management background who understands data, how to ingest data, proper use/consumption, data quality, and stewardship.
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Approximately 8-10 years in designing developing and implementing data and analytics strategies and solutions including data management, quality management, master data management, big data, AI, ML, IoT, and other emerging technologies.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Ensure sound data strategy, quality, and coding best practices and bring recommendations and suggestions for improvements to supporting areas. In Business Insurance Actuarial & Analytics, we deliver tailored analytics and innovative data science solutions that influence decisions and enable superior results.
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Data Quality Analyst. In this role you will partner with the Provider Domain Product Owner to perform data quality measurements and analyses to assess patterns, identify root cause, define data quality rules, champion automated measurement and partner with stakeholders to identify data improvement opportunities.
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As a technical lead you will contribute to, support and build upon the Corp Tech data strategy that will enable best in the industry capabilities to organize, standardize, and process complex data across a landscape of on-prem and cloud based data lake and warehouse technologies.
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Establish a human-centric, modern data governance practice with a portfolio of enabling capabilities that include data catalog and marketplace, metadata management, data lineage, data glossaries, mapping, and data quality rules & standardization.
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We are seeking a Sr. Data Engineer to drive the execution of our Global Data Strategy. Drive and accelerate data and analytics transformation and cloud adoption while being a champion of security, standards, governance, and best practices with a focus on data quality and integrity.
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Experience working on large-scale multidimensional data using advanced knowledge of open-source cloud-enabled analytical programming languages. As a Sr Director, Decision Science, you and your team will combine data expertise, statistical principles, business understanding, relationship building, and communication skills that will help to advance analytical maturity and business outcomes related to the Underwriting function in the Small Commercial Business Unit.
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Bachelor’s degree or six years of experience in data, analytics, engineering, science, technical analytical fields or relevant experience. Simply put, you are helping the business understand 'the why' underneath business trends and data.
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Vice President –Data Delivery (Claims, Ops, Digital)Enterprise Data OfficeThe Vice President – Data Delivery is a strategic data partner to the Claims, Service Operations and Digital organizations, helping to advance the state of their data strategy and data architecture, and is accountable for the development and maintenance of the analytical data assets used by business intelligence and data science consumers within the organization.
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Designing test scripts that validate the determined data conversion strategy from legacy to new platforms. Design, develop and implement ETL testing scripts that are consistent with the solutions for data ingestion, cleansing, business rules execution and Data Distribution.
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The successful candidate will serve as the primary custodian of data quality and governance, as well as partner with the VP of Data Science & Analytics to implement a cogent data strategy.
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Preferred Background:Experience (3-4+ years working experience) with data governance, constructs including technical and business metadata; Understanding of structured and semi-structured data, data quality knowledgeStrong ability to drive connections with a wide variety of data platforms including AWS (Databricks, Teradata, Snowflake, Kafka), Azure, DB2 and SQL Server, etc.
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1-3 years of coding and backend databases for the purpose of supporting backend Data Engineering projects and goals where data quality, availability, validity, and governance. Key Responsibilities:- The Enterprise Marketing Technology Data Collection and Platforms Team plays an integral part in establishing an enterprise data strategy that will enable all other teams to leverage data as part of their work: informing marketing analytics and performance analytics functions, driving ongoing customer journey analytics and optimization, and leveraged in models to drive improved ability to meet members’ needs.
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This resource will help shape and inform the data management strategy which includes leveraging their subject matter expertise in areas of data origination, data quality control, automation, problem investigation, and data translation.
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data strategy quality jobs in Bloomfield, CT
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