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Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. The Global Head of AML Risk Management - Wealth reports to Citi's Chief Compliance Officer (CCO) Anti-Money Laundering (AML) / Bank Secrecy Act (BSA) and will be responsible for driving change and the primary face-off to the Wealth line-of-business, including providing thought leadership, direction and driving greater consistency in global program design and execution across our wealth management activities.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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About the job Data Analyst (Remote) A data analyst on this team must be comfortable working in a quantitative research capacity, providing actionable business insights that may require manipulation and analysis of complex, high-volume, high-dimensional data from a variety of sources.
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Experience with the modern data stack (Hubspot / Looker / Salesforce / Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents) Familiarity with BI tools (preferably Looker, Mode, Tableau, or equivalent) and experience distributing data insights via reports and dashboards.
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Position Overview: The Geospatial Data and Multimedia Analyst supports the MGIS Unit in conducting research and integrating geospatial and tabular data related to economic development using Geographic Information Systems (GIS) and data visualization platforms.
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Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem. You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Experience with data processing frameworks and tools like Apache Spark (including Databricks), and Hadoop and knowledge of database technologies like SQL databases (e.g., MySQL, PostgreSQL.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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You will work closely with the Senior Data Architect who oversees our infrastructure (AWS, Databricks, Tableau) and data pipeline development; the Fundraising Data Manager who will turn these datasets into dashboards and insights; and fundraising stakeholders who will use these insights to raise more money for recipients.
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High familiarity with data platforms and applications such as Snowflake, Databricks. High familiarity with data exploration and data visualization tools (Tableau, Looker, etc.) In collaboration with groups including Data Governance, Business Intelligence & Reporting, Business Operations, Data Engineering, and Finance, this role will establish strong operational and communication processes that enable Subscriber Analytics to support executive reporting needs.
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Stories can cover anything from core exchange functionality, through big data issues and performance to new portals to manage our business. Testing does not stop at release time; with extensive monitoring and "testing in live" you can analyse data from new features for unexpected behaviour or performance and with regular stints as part of the production support pair you will get to assist and understand our business from the front and gain a different perspective.
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About the RoleWere looking for a curious and collaborative Data Analyst to join Fora. You will be joining as the first Analyst on a centralized Data team that collaborates across all departments at Fora, including Product & Engineering, Growth & Marketing, Sales, Advisor Experience, Finance, and Operations.
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Good working knowledge of data warehousing platforms (such as Snowflake, Redshift, etc), cloud computing (such as AWS), and ETL/data pipeline technologies (such as Airflow, DBT) You will work with large data sets (trillions of rows and hundreds of TB of data) using a modern tech stack centered on AWS, Airflow, DBT, and Snowflake.
$130,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Client Corporation is currently seeking an experienced Data Engineer - Big Data individual for their Midtown office in Atlanta, GA. The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions.
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Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Onboard datasets, explore data, and automate tasks using a modern Python data stack.
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Title: data analyst Company: Citigroup Inc in New York, Colonial-heights, Virginia
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