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People Analytics Senior Consultant, you willengage with clients to advance their people analytics capabilities across strategy, people, process, data and technology and to help them to deliver business-driven, actionable people insights across work, workforce and workplace topics (e.g., DEI, attrition, mobility, future of work, talent acquisition, compensation, performance management, etc.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake. Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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Data Model: Design data models that turn complex organizational data into easy to use data structures ensuring seamless flow for WESS operational, analytics and reporting needs.
$125,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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A key member of the Advancement Services team in Fordham's Office of Development and University Relations (DAUR), the Advancement Services Administrator (Records) coordinates the day-to-day operations of data intake and record maintenance, while also playing a primary role in gift processing activities.
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The candidate should effectively leverage and extend the Valuation Services (VS), Veritas and Capital Studio Services Risk platforms by increasing the product coverage and number of trading desks, integrating with downstream regulatory reporting, risk aggregation and P&L Attribution systems, produce pre-trade pricing, intraday risk, end-of-day VaR, Global Stress, and provide a variety of related services for derived market data, trade data and other related data firm-wide.
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Partner with key stakeholders across Citi Finance (Controllers, Global Regulatory Reporting, Data Management Operations, CDO, Technology, Finance Transformation, CAO) driving execution of Consent order and Data Initiatives.
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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Senior UX DesignerWe’re building Walmart Data Ventures from the ground up, and high-quality Product Design iscritical to our foundation. Collaborate closely with our cross-functional partners in Product Management,Engineering, Data Science, and beyond, to ensure we’re getting the best out of ourteams, maintaining alignment, and translating Walmart’s complex data foundation intohigh-value products.
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As a Senior Data Engineer on the team, you will design, develop and maintain data pipelines and data models to provide valuable business insights. Identify new technologies for efficiency, propose and implement solutions to streamline data pipelines, and cultivate a culture of continuous improvement within the team resulting in increased efficiency, effectiveness, and agility in data processing and analysis.
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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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Implement and deliver high quality DevOps solutions for our new state of the art AI model deployment and execution platform using technologies like GitLab, ADO, Terraform to deliver services such as Databricks, Kubernetes, Postgres, Azure Data Factory, Azure Cognitive Search.
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2+ years experience building data pipelines using Azure tools and services (Azure Databricks, Azure Blob, Azure SQL), or other cloud providers (AWS, GCP). You will collaborate with the quality and ML engineers in our team, with data engineers and with software developers across EA. Our team promotes a culture of learning, innovation, continuous improvement and sustainable development.
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We work closely with other Treasury-Finance teams (Liquidity Management and Capital Markets), Stripe's Information team (Data Science and Data Engineering), Stripe's Money Movement & Storage (MMS) product and engineering teams to build great capital and financial risk infrastructure.
$223,600 - $335,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience integrating data feeds into RSA Archer and Data Imports using HTTP(XSLT Transformations), DB, file and JavaScript transporters. You identify system/process/data impacts (upstream and downstream) and propose appropriate alternatives or remediation options, highlighting trade-offs when necessary.
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You have passion and expertise in one or more of the following areas: risk analytics, data analytics, machine learning, SQL, Python, cloud security, network security, vulnerability management, data protection, threat intelligence & investigations, and identity & access management.
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data job Title: senior Company: Intuit in New York, NY
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