Strong analytical skills, with an ability to understand and articulate financial data.
Audible's Data Science team partners with Marketing, Content, Product, and Technology partners to solve business and technology problems using scientific approaches to build product and services that ...
read moreExperience in Big Data Engineering with Spark / AWS EMR & Glue. Audible's Data Science team partners with Marketing, Content, Product, and Technology partners to solve business and technology problems...
read moreKey Responsibilities / Essential Functions: Assist in the migration of existing dashboards, reports, SQL assets from Azure and Power BI to Snowflake, dbt and DOMO Conduct rigorous data mining and st...
read moreMS in one of the following disciplines: Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or a related quantitative field, or PhD +1 year of relevant experience...
read moreCollaborate with IT and data engineering teams to optimize data infrastructure, streamline data workflows, and develop new data pipelines where applicable. The Senior Data Analyst position will sit wi...
read moreMonitor data pipelines and identify potential data quality issues; enforce data quality standards. Proficient in Data Visuals & Data Visualization tools (i. The Analyst will use statistical techniques...
read moreCreate dynamic and highly effective methods of data delivery and provide critical and insightful data. Develop expertise, thought leadership in the area of analytics, business intelligence and reporti...
read moreAct as a key analytics partner across Product, Technology, Data Engineering, and Data Product teams. Familiarity with modern data warehousing concepts and platforms. Analyze user navigation, engagemen...
read moreLeverage internal data systems and tools to efficiently maintain data and reporting processes to minimize manual data retrieving. Utilize data analysis tools to aggregate and analyze data to make acti...
read moreIn this role, you will work with data from insurance claims, EDI files, and other sources to streamline operations, ensure data accuracy, and help enhance overall efficiency across teams. Collaborate ...
read moreThe Data Quality Analyst will collaborate with the businesses to assist on identifying data quality issues, design solutions, and promote best practices in data management. Framework Development: Desi...
read moreExperience with data analysis, data visualization, and graph databases (Neo4J). Leveraging your sound analytical approach and research techniques, you will identify data typologies, perform detailed q...
read moreThe analyst will work in collaboration with other data analysts, developers, and key business stakeholders both internal and external to ensure system design best practices and data quality. The analy...
read moreIn this role, you will work with data from insurance claims, EDI files, and other sources to streamline operations, ensure data accuracy, and help enhance overall efficiency across teams. Collect, org...
read moreThe analyst will be part of a team of developers / analysts responsible for the design and implementation of a new reinsurance data integration platform and data repository that will support client’s ...
read moreCreate dynamic and highly effective methods of data delivery and provide critical and insightful data. Lead Business Intelligence Analyst. Develop expertise, thought leadership in the area of analytic...
read moreLeverage internal data systems and tools to efficiently maintain data and reporting processes to minimize manual data retrieving. Utilize data analysis tools to aggregate and analyze data to make acti...
read moreFinancial Analyst – Data Analysis – FP&A Analyst – Financial Planning & Analysis Analyst – Forecasting – Budgeting – Variance Analysis – Financial Modeling – Financial Reporting. In this role, the Fin...
read moreCollaborate with IT and data engineering teams to optimize data infrastructure, streamline data workflows, and develop new data pipelines where applicable. The Senior Data Analyst position will sit wi...
read moreAct as a key analytics partner across Product, Technology, Data Engineering, and Data Product teams. The ideal candidate is a hands-on data expert with a deep understanding of experimentation, user be...
read moreMonitor and analyze data sources using databases and data warehousing tools. You will design information flows from source systems to the data lake, implement data governance and catalog, use data to ...
read moreLead Credit Risk Business Analyst and Data Analyst. Seeking a highly skilled and motivated Lead Credit Risk Business Analyst and Data Analyst (BA/DA) to lead the development and management of one cred...
read moreNET, MS Access, Oracle, SQL Server, Sybase, PL/SQL, SQL, TSQL, SSIS, SSRS, Tableau, TOAD, ERWIN, Data Modeling, Data Quality, Data Governance, Data Visualization, Java, HTML, SAS, R, Python, and other...
read moreData analytics background, ideally related to risk management - qualifications in data management, administration, and analytics are required. Experience in taking big data and building user dashboard...
read moreThis person will spend about 10% of their day managing the project and meeting with stakeholders and 90% of their day gathering and reviewing requirements, reviewing data spreadsheets, determining if ...
read moreOur client is seeking a highly technical and driven Marketing Data Analyst to join our lean but fast-moving analytics team. Strong understanding of data automation and QA practices. Strong communicati...
read moreThe ideal candidate should possess experience in Budget Preparation, Data Analytics, and Management Reporting. Perform data analytics and financial modeling schedules.
Using SQL, SAS, or R to process, clean, and prepare data for analysis and reporting; data check; document data management procedures (e. Collaborate with program staff and IT to develop and refine dat...
read moreReporting to the Chiefs of Bioinformatics and Data units and working with a team of Bioinformatics and Data analysts, your role will be focused on data management within and outside the Bureau of Publ...
read moreData Analyst to the Center of Surgical and Transplant Applied Research (C-Star). Serve as a data analyst to the Center of Surgical and Transplant Applied. Research C Star using a range of data sources...
read moreData Wrangling: Perform data wrangling using SQL to prepare datasets for analysis, ensuring data quality and accuracy. Collaboration: Collaborate with data analysts to interpret media data and identif...
read moreUtilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. McLean, VA: $193,400 - $220,7...
read moreUtilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 1 year of experience...
read moreExperience designing and implementing data management solutions that enable Data Quality, Reference Data Management, and Metadata Management. Capital One is looking for a Distinguished Engineer with e...
read moreUtilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. McLean, VA: $193,400 - $220,7...
read moreExperience with data analysis, data visualization, and graph databases (Neo4J). Leveraging your sound analytical approach and research techniques, you will identify data typologies, perform detailed q...
read moreExperience with data analysis, data visualization, and graph databases (Neo4J). We take really complex data as it relates to global security and empower our clients to not only understand the risk ass...
read moreMonitor data pipelines and identify potential data quality issues; enforce data quality standards. Make data-driven business recommendations to leadership and membership based on results/trends identi...
read moreFramework Development: Design and implement a comprehensive technical data quality framework that includes data profiling, data validation, data cleansing, and monitoring processes, capitalizing first...
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