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The Market Manager uses their knowledge of the travel industry, and their experience in sales negotiation, revenue management and data analysis, to increase revenue by optimizing Priceline's hotel partnerships.
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BNY Mellon assesses market data to ensure a competitive compensation package for our employees. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNYM total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.
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This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.
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This involves the meticulous collection and dissemination of information, data, insights, and intelligence on specific topics, ensuring compliance with regional/country market access requirements.
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Kuehne+Nagel reviews pay ranges regularly to ensure competitive and fair pay based on industry market data. Base salary is part of a competitive total rewards package that includes health and welfare benefits, a 401k retirement savings plan, tuition reimbursement, and incentive compensation for eligible roles.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Reporting directly to the Sea Logistics Go-To-Market Development Director, with occasional global travel requirements. In this prominent, client-centric position, you will be instrumental in driving our global market expansion and ensuring the satisfaction of our customers.
$98,000 - $118,000Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.
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These models include those for pricing and risk of derivative products across all major asset classes, including market data; counterparty credit risk, XVA, initial margin; value-at-risk and other market risk metrics; climate risk; credit risk and liquidity risk.
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This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Install, configure and manage enterprise data integration platforms including Data Stage, Talend, Ab initio, Informatica and AWS Glue in AWS cloud environments and in on-premises infrastructure.
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Own data integrations between Pigment and other primary sources, including Looker, Netsuite, Salesforce, Paylocity and Snowflake. You have experience working with Looker or other similar data visualization tools (tableau, etc), both creating the data model and building dashboards.
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Experience with Ellucian Banner, CourseLeaf, Workday, or related academic data management software. Reporting to the Associate Dean for Curriculum and Enrollment Management, the Director of Data and Academic Planning in the College of Humanities and Social Sciences (CHSS) is responsible for the management of data reporting for the college supporting academic, student, and operational services, and works independently to interpret that data.
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies.
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Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules. Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala.
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Any one of the data warehouses BigQuery, Redshift or Snowflake, developing data ingestion pipeline. Data visualization/analytics tools – at least one (1) of the following: Tableau, DataStudio, Looker, IBM Cognos or Business Objects.
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compensation market data incentive jobs Company: Yum Brands in Newark, NJ
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