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Experience in Analytics and BI platforms, such as Qlik Sense and Power BI. As our new Data Analytics Consultant, you will be part of a team that assists our clients with their data analysis and visualization needs, creating custom data workflows, building interactive dashboards, and developing bespoke applications for solving practical problems.
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Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics.
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About Corbion Corbion is the global market leader in lactic acid and its derivatives, and a leading supplier of emulsifiers, functional enzyme blends, minerals, vitamins, and algae ingredients.
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Configuring of Workday HCM modules including Core HR, Advanced Comp, Benefits, Talent, Help, Journeys, Payroll, Learning, Recruiting, People Analytics, Prism, Time Tracking. - Finesse in Workday Core framework & architecture; advanced knowledge of Core HR, Advanced Comp, Benefits, Talent, Journeys, Payroll, Learning, Recruiting, People Analytics, and more.
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Your hands-on approach will inspire your team as they develop cutting edge solutions in the domains of real-time trading, analytics and risk management. The Sr Director of Software Engineering at Cboe for our Real-Time Trading, Analytics and Risk management Team (Cboe Silexx) will lead with both expertise and inspiration, fostering an environment where complex problem-solving and creative engineering flourish.
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The LCRR Regional Lead should have working knowledge of drinking water utility asset management programs, GIS, and applications for data analytics for dashboard development. The LCRR Regional Lead will work closely with the Specialized Solutions group to apply dashboarding capabilities, advanced data analytics, and machine learning for predictive modeling of SL material identification but will not be responsible for development of these tools.
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Own system Configuration of Workday HCM modules: Core HR, Advanced Comp, Benefits, Talent, Help, Journeys, Payroll, Learning, Recruiting, People Analytics, Prism, Time Tracking. Detailed understanding of Workday Core framework & architecture, and advanced knowledge of Core HR, Advanced Comp, Benefits, Talent, Help, Journeys, Payroll, Learning, Recruiting, People Analytics, Prism, Time Tracking.
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We are Accenture, a global professional services company, searching for a Workday FINs QTC Lead. This individual will be part of a team of advisory professionals focused on cloud-based data-reporting operations that integrate and optimize the essential corporate functions of finance, analytics, planning and HR.For many of our clients, successfully getting their data operations into cloud environments is a major focus.
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At least 3 years of trading/sales-trading experience from a leading financial institution, ideally working with any one or more of the following: digital assets, commodities, equities, FX, fixed income, or derivatives.
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Lead and coordinate data engineering and analytics efforts on the team. This will be achieved through leading efforts on the team in the areas of data engineering and applying statistical and advanced analytics combined with cybersecurity knowledge to surface trends, reveal detection and capability gaps, and solve a wide range of challenges to create real security value from data.
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We are searching for a Senior Data Analyst with strong Power BI and/or Workday experience, specializing in people analytics with a focus on recruiting, engagement, attrition prediction, and other workforce trends.
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Workday expertise including Prism, People Analytics, Management Reporter. Unleash Your HR Analytics Expertise: HR Data Analytics & Report Manager Do you thrive on transforming raw data into actionable insights that shape business decisions.
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As such, it requires someone who can bring the experience of leading a major enterprise successfully through such digital transformations as migration to cloud infrastructures, enabling and transitioning to microservices, efficiency and scale through automation and SRE practices, and setting the strategy and vision for modern data management and analytics.
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Establish, own, and oversee data engineering best practices and enterprise data platform development, while focused on data architecture, data accessibility, data ingestion, data visualization, operational reporting, and analytics.
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Experience using digital marketing tools and platforms, such as Google Ads, Facebook Ads Manager, Google Analytics, Google Tag Manager, email marketing automation software, and SMS marketing platforms.
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