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CDS Visual is looking for a Data Engineer with experience in data transformations. Working with Architect and BA, analyze Product Data specifications provided in Spreadsheets and transform those into DB tables for consumption in various CDS platforms.
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As part of the Quantitative Research & Investments (QRI) Division at Fidelity Investments, the Risk Analyst will work within a team of risk professionals that supports Fidelity s managed accounts business, Strategic Advisers (SAI.
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Working knowledge of dashboard data visualization including: AWS Quicksight, Google Looker, and/or Microsoft Power BI. We are specifically looking for someone who understands the role of the digital analytics director and the critical part that this team will play in scaling the digital transformation at SBNA. This person should be completely at home helping build and grow a team that can both lead in the data collection and syndication, as well as in the insights and analytics necessary to drive growth and improve customer experience.
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Must have good work experience knowledge in ADLS ADF Snowflake Databricks Azure AIML Purview APIs Collibra Data processing in Azure cloud. Minimum of 15 years IT experience in Data BIA solution architecting of which at least 3 years in Azure Snowflake Databricks.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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State Street Global Advisors is looking for a highly skilled Data Engineer/ Data Analyst with 3+ years’ experience to join our Portfolio Analytics Technology Solutions team. What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift.
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These services include Trust Reporting, which requires review of the deal documents, set up of cashflow priorities, collection of periodic asset activity data, reporting to bondholders, and when required, trust tax reporting.
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Ensure alignment between ontology models and existing data structures to facilitate data integration and interoperability. Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required.
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Experience with qualitative and quantitative research (data collection, data entry, analyses, etc.) Strong methodological research and analytical skills (e.g., experience using a data analysis platform like Dedoose, SAS, STATA or R.
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You will use tools such as GCP BigQuery, Looker Studio and Power BI to extract data and create reports for ad-hoc and routine reporting. Software Experience: Knowledge of SQL, SAS, R, Python, Tableau, GCP, and/or other programming/data query/reporting knowledge, also, intermediate to advanced skills in Microsoft Excel is required.
$156,000Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are currently sourcing for a Calypso Analyst to work in Westlake TX, or Boston MA. The Middle Office Operations division within Clients Fund and Investment Operations (FFIO) is looking for a forward-looking self-starter who thrives in a fast-paced environment.
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We are using models early to fail less often, executing clinical trials to add valuation to the company, and generating fit-for-purpose data to feed back into Valo’s Opal Computational Platform as we reinvent drug discovery and development from the ground up.
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Understanding of data concepts, including data design and modelling, as well as SQL, BI tools (Excel, Tableau, Looker, or Power BI) and Big data. Manage the Investments data lineage across all upstream and downstream systems and various data sources; oversee and dictate data flows to consumers including third-party applications and vendors (Clearwater, etc.
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Design and manage data models in Snowflake and BigQuery to support business intelligence and analytics. Strong experience with Snowflake , BigQuery , and other data warehousing solutions.
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Key responsibilities include utilizing a variety of systems such as Excel, SAS, SQL, Tableau, and other relational data bases to provide analytical support on strategies, ensure goals are met, and propose policy and procedural changes within segmentation structures to produce optimal results.
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Title: data analyst Company: Coursera in Boston, Schuyler, Nebraska
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