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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, Google Cloud Platform, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$241,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Utilizing Data analytics skills and experience developing mathematical models in R, Python, SAS, MATLAB, and/or SPSS; Working with analytics and construction management software packages including Cora, Power BI, Primavera P6, Primavera Unifier, @Risk, Tableau.
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Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery. Collaborate with data analytics stakeholders to streamline the data acquisition, processing, and presentation process.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure) Experience applying data science techniques, including time series, supervised learning (e.g., regression analysis, classification analysis, univariate models, multi-variate models), and/or unsupervised learning (e.g., clustering, association, dimensionality reduction), to Finance use cases such as forecasting and predictive analytics.
$198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The mission of the People Analytics & Planning COE is to drive better, faster, more data-informed workforce decisions at all levels of the organization. Partner with peers that lead the Data & Technology, Employee Experience Analytics, and Advanced Technology & Analytics teams to ensure products and solutions meet needs of HRBPs.
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Investment Data Platform within FIS Capital Markets is aimed at providing a simplified data experience for our clients by providing a platform to aggregate investment data (data warehouse), visualize reports and analytics, participate in data marketplace (data marts), all while governing and orchestrating data with leading edge tools.
$149,820 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Knowledge of GCP cloud services is a plus Knowledge of data analytics tool stack such as Alteryx tableau and qlik sense Experience building software and computer systems using a variety of languages (C/C.
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We’re seeking a WebFocus developer who has experience building data products on a cloud analytics platform. · You will work on data extraction, data transformation, data loading into GCP & WebFocus Integration to support the Enterprise in the Data Factory on Google Cloud Platform (GCP.
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You have experience with SAP HANA SDA/SDI Smart Data Access/Smart Data Integration. You have implementation experience with SAP Smart Data Integration (SDI), Smart Data Quality (SDQ) or SAP BODS.
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5+ years of experience of data engineering solutions development (including data and analytics), enterprise architecture, and integration with downstream transactional systems. Partner with team leads to implement and maintain best practices around data strategy and analytics.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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4+ years of experience in a similar role focused on strategic analytics/data/statistical analysis. Demonstrate a solid understanding of data mining and classification techniques, ideally, 2+ years experience using SAS/Snowflake/SQL or similar tools for data analysis.
$180,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Global Data Insight & Analytics organization is looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science / AI/ML platform.
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Transaction & eCommerce Analytics: Analyze transactional data (digital and data warehouse) to identify trends, patterns, and anomalies. This role will focus on leveraging advanced analytics techniques to uncover insights from transactional and eCommerce data, both within our digital platforms and our data warehouse.
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Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in GCP using Python and other tools for the data scientists and business across the company.
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