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This role is W ONLY (NO CC per client requirements)MUST HAVE:-+ years of experience as a Business/Data Analyst working in Data Warehouse, Master Data Management-Strong SQL -Tableau OR Power BI-Data Governance -Knowledge of Government/Public Sector/Education organizations, hierarchies and structure is a BIG PLUS Responsibilities :The firm has an exciting career opportunities for a Data Analyst within the Data Strategy and Enablement group.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
$207,763 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Role DescriptionThe Senior Data Engineer / Python Programmer is a member ofthe Enterprise Data and AI Services (EDAS) team within Global IT Services. In this capacity, the candidate will work with a team of empathetic,autonomy-supported, well-connected, competent, and passionate data analysts, data engineers, data architects, and datascientists (, a data team) responsible for empowering the organization withmodern data and AI tools, technologies, and workflows.
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If you prioritize and organize effectively and enjoy analyzing, interpreting, and presenting data, this could be the role for you. As a Data Insights Analyst on the Fraud Protection Team, plays a critical role in analyzing, designing, and implementing strategies to prevent, detect and manage fraud within the organization.
$51 an hourExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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7+ years hands on experience as a Data Modeler. Contribute to modeling, lineage, data privacy and team wikidocumentation. Collaborate with an agile DevOps development teamresponsible for Data Engineering in a Big Data Environment.
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Use data and insights to inform conclusions and support decision-making. Travel RequirementsUp to 60%Job Posting End DateLearn more about how we work: PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy.
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Identify opportunities to use data to develop new strategies and improve business performance and utilize knowledge of mathematical modeling and other optimization methods to perform quantitative and qualitative data analysis.
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We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of opportunities that may be of interest and sharing with our affiliates.
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Advanced data analysis skills with ability to trace lineage of report and application data back to source and reverse engineer existing reporting solutions as needed. Support the timely migration and operation of an existing on-premises SQL Server Data Warehouse to Microsoft Azure.
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This could include moving data or applications to the cloud, building a SharePoint site and integrating data, creating reports in SSRS or PowerBI, building and implementing disaster recovery solutions, setting up a SQL server replication to replicate data from one database to another, consolidating databases onto less servers, etc.
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Excellent understanding of data governance discipline with focus on lineage, glossary, Data Quality etc. 7+ years of relevant industry experience especially focused on regulatory affairs and risk data strategy.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Your responsibilities will include collaborating with MMA and data vendors to develop and implement data strategies, documenting and implementing custom programming for data conversion, supporting data validation efforts, and identifying risks in test results.
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With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally.
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Using data visualization and presentations to communicate results and make recommendations. Abilities: Make decisions and solve problems while working under pressure; demonstrated understanding of design and implementation practices within data visualization tools; effective written and verbal communication skills.
$65 an hourFull-timeExpandApply NowActive JobUpdated 17 days ago
Title: data Company: Ceribell in Norwalk, CT
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