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The Business Intelligence Developer II will develop and maintain BI interfaces that support Duck Creek Technology’s initiative to improve Data Quality, Data Audit processes and Corporate Metrics Reporting, including developing a Data Architecture with role-based security.
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DE creating and delivering executive-level presentations and reports to influence business outcomes using data visualization tools (Tableau, Alteryx, or Think-cell) and business intelligence technologies (SharePoint, Excel, PowerPivot, or PerformancePoint.
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AssistantVice President will have extensive experience with Tableau Data Sources, Extracts, Data Visualizations, Tableau Desktop, Tableau Server, Tableau cloud, Tableau Mobile, Tableau Reader, Tableau Prep, Tableau Bridge, SQL Query, SAP Business Objects administration, Alteryx Designer, Alteryx Intelligence suite and Alteryx Server.
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The ideal candidate will have strong analytical skills, proficiency in SQL, knowledge of the modern data stack (dbt, Snowflake, git, Tableau, Fivetran, and more) and business intelligence tools, as well as the ability to effectively communicate insights to stakeholders.
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The Business Intelligence Engineer 2 work assignments involve moderately complex tasks which include managing workflows, analyzing large data sets, and creating automation process flows.
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We're driving the company's digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.
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You'll be responsible for designing and implementing a strategic roadmap for business intelligence & the wider analytics function that aligns with an ambitious set of business goals, whilst fostering a culture of data-driven decision making.
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Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. Some exposure to Azure, Snowflake, Databricks, Micro service architecture, Docker, ETL tools, Data as a Service, ACID and data structures is desired.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Business Intelligence (BI) Analyst (remote opportunity) will provide analytical and process improvement support for the Professional Services (PS) organization by managing operational reports as well as developing and/or maintaining key operational systems.
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Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger. Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance.
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Hands on experience with Cloud data migration on AWS using Databricks and maintaining cloud-based database systems. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
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The Algorithms, Machine Learning, & Data Science Group within AES Advanced Tech Team creates advanced algorithms in the fields of machine learning, artificial intelligence, signal processing, intelligent control, and other areas of electrical engineering and computer science that are of strategic interest to the AES Business Unit’s goals and roadmaps.
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The IETAM applies business knowledge and trends to drive innovation across all technologies, including Media Supply Chain, Live and On-Demand Video Streaming, Content Production, Media Data Analytics, Artificial Intelligence for Media, Compute, Database, Data Analytics, Application-level services, Networking, Serverless and more.
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Demonstrated proficiency in Business Intelligence (BI) tools for data visualization and reporting (e.g. Advanced Excel, Power BI, Google, Qlik, Tableau). Build dashboards and perform extensive market work for identifying target customer profiling and data mining using analytical tools to extract actionable information and provide key business insights and findings from this data from market trends, internal data and other sources.
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