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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
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Work as part of the audit engagement team to support the use of Data and Analytics (D&A) in the performance of external audits including data acquisition, movement and transformation; utilize a range of technologies and data capabilities, such as Alteryx, SQL, Python, Azure Data Factory, Databricks, Azure Data Lake Storage, Power BI and other Azure technologies.
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BASIC QUALIFICATIONS Bachelor’s degree Information Systems, Computer Science, Mathematics or experience in a related field Knowledge of SAP (SAP AFS, Retail, or FMS preferred), Business Objects and SQL Server.
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Familiarity with data tools and languages (Python, R, SQL, Excel). Work with data science, consumer insights, media and web analytics, and BI teams to leverage data resources and champion new analytics solutions.
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Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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As an AmTrust Data Engineer you will participate in the design, analysis, and development of Data Warehouse, Business Intelligence, and Data Science (AI/ML) initiatives. Strong knowledge of cloud native data platform architectures, data engineering and data management.
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Experience should also include the following: Developing reports and dashboards using industry related development tools (Crystal reporting, WEBi reporting, and Digital Board Room, Power BI, or other dashboards), Experience using SQL (Structured Query Language) server-based SQL coding like Oracle PLSQL (Procedural Language/Structured Query Language), AND Experience working with data warehouses (SAP HANA, SQL Server, Oracle, or others.
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Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology.
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Manage Jira boards and Confluence to track Agile activities to deliver (and scale) each automation solution to the markets Experience on building Data Pipelines, Data Modeling, ETL, Data Migration.
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Advanced degrees in relevant fields such as data science, information systems, or statistics are a plus. This role will leverage advanced analytics to shape operational strategies, unify diverse data sources, and foster a data-centric culture.
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Experience with statistical analysis software/languages (SAS, SQL, Python, & R) in addition to training in statistical modeling, data analysis, MIS, or computer programing. Use quantitative and analytical skills to mine, process, analyze data using SAS, Python, SQL, MS Excel, and other business tools.
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Bachelor's or master's in data science, computer science, operations research, statistics, actuarial mathematics, applied mathematics, or a related quantitative field. Ability to manage/maintain large data sets and process through various software, applications, and programming languages: Excel, PowerBI, PowerQuery, SQL, R, Python, SAS, etc.
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Total Rewards Our comprehensive talent suite leverages a combination of proprietary talent IP, talent data, analytics and insights to help customers understand their workforce and existing talent gaps, and deliver targeted talent interventions at scale using HR technology.
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SQL Server DBA Direct Hire and Contract job listings for Dallas, Texas companies. Required SKILLS: BE or BS degree in Computer Science, Business Administration, Information Technology or related field.
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Proficiency in data analysis tools such as SQL, Python, R, or Tableau. Experience with statistical analysis and data visualization techniques. Bachelor’s degree in Analytics, Statistics, Mathematics, Computer Science, or related field.
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data science sql jobs in Dallas, AL, United Kingdom
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