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The primary responsibility of the team is to build and execute a Quality Control and Challenge function on Data Management deliverables within the CDO for Santander Bank. The Data Management Quality Control function is owned and managed by the Chief Data Office ("CDO.
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Prior data experience (i.e. analytics; data mining; automation) Should have the ability to perform high quality, risk-focused fieldwork, in accordance with Corporate Audit methodologies and standards to identify meaningful issues, risks and other exposures as it relates to data and as outlined in the Enterprise Data Management standard.
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Coverage areas include Accounting, Finance, SOX, Regulatory Reporting, ESG, Capital Management, Basel, Treasury, Liquidity, and RRP. Typically works on projects of moderate to high complexity that would involve learning, as candidate will be responsible for testing the completeness and accuracy of data from point of origin to systems of record, through business use (e.g., reporting) by independently querying systems data.
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Responsible for developing and executing an audit program designed to independently validate the completeness and accuracy of data across the Company's CFO coverage areas. Also, will work with team to provide input to draft quality audit reports and supports sharing audit results with business leaders.
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Applies a variety of methods based on standards and metrics to review and improve data acquisition and data management processes such as statistical analysis, machine learning, data mining, predictive analytics, time series analysis, multivariate regression analysis, statistical process control and optimization solutions.
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Advanced experience in data mining with a range of advanced technical tools (Python, R, Hadoop, Hive, SQL, Java, Spark, etc.) This position will fill a key role on the Data Strategy team, focused on improving our data quality, unifying our data silos, and enriching our data in service of strengthening our ability to reduce fraud and scams.
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Knowledge, Skills, and Abilities (KSAs): Health Care Data Analytics; Reporting Tools; Analytical Software Tools; SAS Tools; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management; Business Planning.
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Assisting in product variability reduction through the application of data mining tools and advanced statistical analysis including development of dashboards for statistical quality data.
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Provide this data to support certification and improvement of company Quality Assurance system as part of our integrated management system (IMS) The Senior Data Analyst to join our Quality Assurance and Operational Excellence team, will report to the Head of QOE you will be responsible for understanding and using data related to Quality Assurance generating accurate and insightful tools and reports to help drive business improvements.
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Preferred: Experience with data mining tools, statistical analysis, and reporting tools. The analyst is responsible for the accuracy, quality and completeness of all data and content, create reports, dashboards and deliver interpretive analyses, and look for ways to drive automation and efficiency.
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Experience in Data Management processes (data profiling, data mining, data modeling, data lineage & toolsets (e.g., Collibra. Develop/possess Subject Matter Expertise on Citi’s CDGP, Data Quality Standards, Metadata, and other data-related Policies and Standards.
$113,840 - $170,760 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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In addition to the responsibilities listed below, this position is also responsible for collecting regulatory requirements; translating regulatory requirements to reporting rules that fit with how KP operates and stores data under the guidance of more senior employees; and drafting data reports to influence quality and clinical care decisions.
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Prestigious Enterprise Company is currently seeking a Data Quality Test Engineer with SQL testing experience. Hands-on experience using SQL queries for results validation and data mining.
$50 - $70 an hourExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Knowledge of data governance, data modeling, database design development, data mining, and segmentation techniques. Executes the review and assessment of data quality rules, key data elements (KDE), data dictionary, data lineage, profiling data sets, and evaluating data management deliverables and data errors for appropriate resolution.
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5+ years' experience working with statistical analysis, object-oriented programming, data mining / model building, business intelligence, visualization methodologies and tools such as R, Python, SAS, Looker, Tableau, Hue and TOAD Experience and working knowledge of data and analytics in a healthcare data management environment.
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data mining quality jobs Title: data quality
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