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As a part of the Total Rewards team, the Senior Compensation Analyst will research, design, implement, and evaluate various compensation, rewards, and recognition programs that support the attraction, engagement, and retention of top talent.
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Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data (e.g. smartsheet, access, excel, JDE, Cantor, AQ, etc.) Implement data governance processes for item master data maintenance.
Full-timeRemoteExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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As a Cloud Data Solutions Architect focused on Data Solutions and Data Management, your primary responsibility will be to ensure building a scalable, secure and efficient data platform / Lakehouse with Azure / Databricks.
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This role will work closely with Mars Wrigley and Mars, Inc. Sustainability Teams, Digital Technologies, Procurement, and Supply functions to map out our Sustainability data and systems landscape and consult on how to best move forward in partnership with other programs and initiatives.
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You will work closely with our Senior Financial Systems Analyst to ensure the accuracy, efficiency, and continual improvement of our financial data and reporting processes. Hinshaw & Culbertson LLP, a national law firm, currently has an excellent full-time employment opportunity for a Financial Systems Analyst.
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This includes providing guidance, assistance, and support to customers from the initial data requirements gathering, technical platform configuration, administrator training and all other requirements defined through a customer’s implementation.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
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Engage internal analyst community to enable understanding of brand activation and post-event analysis garnered from CRM data sources. Strong knowledge of industry data sets (Nielsen / NABCA / DISCUS) and other sources insights to enable data visualization and narrative support.
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The Data Protection Product Compliance Specialist reports to the Sr. Privacy Counsel. Work with Privacy Counsel to advise product teams on preparation of asset lists, data inventories, data flow mapping, privacy questionnaires and records of processing utilizing OneTrust privacy management platform.
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Primarily responsible for analyzing the creditworthiness of debt securities issued by municipal and non-for-profit borrowers.
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Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny) To support this vision, Kimberly-Clark North America (KCNA) is investing in the growth of our high-performance Data Science and Advanced Analytics Strategy team and we are looking for entrepreneurial-minded innovators to join us in our journey.
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The firm is the No. 1 investment bank for global M&A transactions under $1 billion, the No. 1 M&A advisor for the past eight consecutive years in the U.S., the No. 1 global restructuring advisor for the past nine consecutive years, and the No. 1 global M&A fairness opinion advisor over the past 25 years, all based on number of transactions and according to data provided by Refinitiv.
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Morningstar DBRS is seeking a highly motivated individual, with an interest in real estate finance and credit analysis, to join its Commercial Mortgage-Backed Securities (CMBS) or Global Corporate Real Estate (GCRE) team as an Analyst.
$2Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience using one or more relevant data science programming languages such as, R, Python, SQL, MATLAB; the use of an integrated development environment (IDE) such as, RStudio. Experience in the use of relevant data science programming languages such as, R, Python, SQL, MATLAB, and experience using an integrated development environment (IDE) such as, RStudio.
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Title: healthcare data analyst in Chicago, IL
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