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Cushman & Wakefield’s Total Workplace Consulting practice is a dynamic, global team of multi-functional thought leaders in the areas of workplace strategy, portfolio optimization, labor analytics, and change management.
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Knowledgeable of marketing-related tools such as Google Analytics, reputation management systems, Yardi, Rent Cafe, and Knock. Oversee the paid media strategy, Google Ads, and social campaigns, including Facebook, Instagram, and TikTok.
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Overview Working alongside the brokers this role will have a high level of interaction with our clients providing catastrophe management insight and solutions through the entire modeling cycle, from data auditing to multi-model analysis, reporting and portfolio management.
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As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Demand Creation: Create B2B marketing strategies, including account-based marketing (ABM) leveraging thought leadership, digital channels, CRM integration, data analytics, sales enablement, and customer insights to deliver effective targeted marketing campaigns and initiatives.
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Cloud Experience: Hands-on experience with cloud-based data engineering tools and services, such as AWS S3, Redshift, Glue, Azure Data Lake, or Google BigQuery. FHIR Expertise: Strong hands-on experience with FHIR API protocols and standards, including the design and deployment of FHIR-compliant APIs. Data Lake Proficiency: Extensive experience in designing, building, and managing data lakes on cloud platforms (e.g., AWS, Azure, Google Cloud) and familiarity with associated technologies (e.g., Hadoop, Spark.
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The ideal candidate will have a wide breadth of expertise in data science with special emphasis on predictive modeling and forecasting as well as proficiency in Python, SQL, TensorFlow, and experience using platforms such as Google Vertex AI and NVIDIA NeMo. Experience in data preprocessing using tools like Alteryx and Google Dataflow is also essential.
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The GPS AI & Data Engineering (AI&DE) offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.
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Partners with HR Leadership team on matters impacting enterprise operations, influencing systems and processes to drive excellence at scale and use of people analytics to shape HR programs. The VP, Human Resources reports to the CHRO and works collaboratively in driving strategic talent plans, goals, and objectives for the organization.
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Apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.
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Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), Alibaba Cloud, Oracle Cloud. Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), Alibaba Cloud, Oracle Cloud.
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A minimum of 3-years of experience in natural gas pipeline measurement, field engineering, design, gas operations, fuels, analytics, billing, forecasting and/or maintenance; Experience providing functional guidance and/or leadership to operations staff.
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Experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks. Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent.
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The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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google analytics jobs Title: analytics in Tampa, Holdrege, Nebraska
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