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Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies. The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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The Healthcare Data Architect is responsible for building and maintaining robust data infrastructure for Health Plan Risk Adjustment, HEDIS, Quality, and Clinical to support strategic analytics and reporting used to drive business decisions.
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Strong expertise in designing and building scalable data pipelines, ETL processes, and analytics solutions using AWS services (e.g., S3, Glue, Lambda) , ETL tools [ e.g., Qlik, Firetran, Informatica IICS] and Snowflake.
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This role will be a part of the Field Data Analytics Team, which provides essential oversight of all internet connected and field installed Generac Clean Energy products. Generac Power Systems seeks an Analytics Engineer I to be based in Portland, ME or Remote.
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Capital One is seeking a data protection subject matter expert to deliver game-changing cybersecurity solutions based on threat, data, and design thinking. At least 1 years of experience with Symantec Data Loss Prevention (DLP) infrastructure engineering.
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Analytics data preparation/build experience with tools like Dataiku, Tableau Prep, Alteryx, dbt, etc. This is a really exciting time to be working in Data & Analytics at WEX. We are driving towards our True North vision of providing the right data, in the right place, at the right time so that we can enable and accelerate the journey to being a data-driven organization.
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Experience with the tools we use, like AWS (including Glue and Lambda), Redshift, Data Build Tool (DBT), Snowflake, and Docker - plus experience with tools we dont use, but should, and the wisdom to know when to recommend them.
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Responsible for architecture, design, and development of key data infrastructure to support Health Plan wide activities including analytics and reporting, internal applications, data submissions, and operations related to risk score and revenue projections, CMS submissions, HEDIS data submissions, population health, etc.
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A deep technical background in applied data science, spanning some or all statistics, experimentation, machine learning, causal methods, optimization techniques, data engineering and architecture (applied to large data), and behavioral analytics.
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Working with the broader Data & Analytics team to design, build and deploy the self-service data assets. Setting standards and procedures to enable self-service data and features to pass through the complete data/analytics lifecycle, from prototyping through to automation and production at scale.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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This position is tasked with owning the development & implementation of Enterprise web and app analytics for PDL and the ADUSA banners, with a specific focus on product analytics. Experience with BI/Visualization Software (e.g., Power BI, Data Studio, Tableau.
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Summary: We are seeking a highly skilled and experienced Contact Center Data and Analytics Consultant to join our team. 8+ years direct experience with Genesys Engage Infomart or GCXI or NICE CX Analytics; strong understanding of Contact Center and Customer Experience data and metrics.
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Implementing data warehouses, data collection systems, data analytics and other strategies that optimize business intelligence and analytical efficiency and quality. Data Analysis requires proficiency in interpreting data, trends, patterns in complex data sets, technical expertise with data models, databases and reporting packages like Tableau or Business Objects.
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Cross-functional knowledge of enterprise data concepts and participation in the Analytics Center of Excellence. Proficient in data consolidation, ETL, data quality, data security, and data governance practices.
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Title: data analytics Company: Hkstrategies in Scarborough, ME
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