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Demonstrating thorough knowledge about ETL tools and techniques, such as tools like Alteryx, Power Query, Azure Data Factory, and Power Apps suite of tools; Demonstrating intimate knowledge about designing and implementing data-driven analyses to monitor for compliance with regulations and standards, such as anti-corruption laws, data privacy regulations, and industry-specific regulations.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Collaborating with cross-functional teams, including Finance, the Office of the Chief Data Officer, the Office of the General Counsel, Business Services Technology, Network Information Security, Internal Audit, and other firm functions to gather relevant data and establish data integrity for analysis.
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6 year(s) of experience in data analytics with a focus on Ethics & Compliance is preferred. Demonstrating a thorough level of knowledge in data analytics tools and programming languages, such as Python, R, and SQL.
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Expert in ETL tools and workflow creation, specifically Alteryx. The diversity of experienceavailable within Spectrum's Product and Technology team is unmatched andthere are opportunities to grow your career as a designer, architect,engineer, developer, operator, or data scientist.
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Data Warehousing: Star Schema, Snowflake Design. Perform database engineering and administration tasks in, including design/modeling, SQL and script development, SQL and database tuning, data migrations, backups and recoveries, software installations and upgrades, and DBA support (including after-hours when needed) for three-tier, client/server databases.
$88,200 - $156,600Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Familiarity with ETL tools such as SSIS, Alteryx and Tableau Prep. Data Scientist - 12741. Business Intelligence and Data Visualization experience using tools like Tableau, Cognos, or Power BI.
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Concepts of Data Engineering - Data warehousing, Indexing, ETL, Dimensions and Schemas. Knowledge of data manipulation tools / languages like Alteryx, SAS, Python. As a Data Scientist Vice President you will have to understand data relationships, can design efficient data models, and take initiative and ownership of data driven tasks.
Full-timeExpandUpdated 4 days ago - UpvoteDownvoteShare Job
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Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving; Proving ability to collect data from various sources, determine appropriate storage methods, perform various analyses, distill and communicate key insights/complex findings to non-technical stakeholders through data visualization techniques.
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Data Processing/Analytics/Science, Computer and Information Science, Statistics. Preparing and presenting comprehensive reports and recommendations to senior management and stakeholders using data storytelling techniques.
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The successful candidate will be responsible for leveraging their data science background to drive compliance monitoring data analytics initiatives. Utilizing data science techniques to analyze large data sets and identify patterns, trends, and anomalies that may indicate potential compliance violations.
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This Senior Manager will play a critical role in confirming compliance with ethical standards and regulatory requirements through the use of advanced data analytics techniques. Developing and maintaining data analytics models and tools to support ongoing monitoring and reporting of compliance metrics.
Full-timeExpandUpdated 11 days ago - UpvoteDownvoteShare Job
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Providing guidance and training to team members on data analytics techniques and tools; Staying up-to-date with Industry-leading practices in data analytics and compliance monitoring to continuously enhance the program.
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Leading the development and implementation of data analytics strategies to identify potential compliance risks and issues; Proving specialization in analytical and problem-solving skills, with the ability to think critically and make data-driven decisions.
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Specialty/Competency: IFS - Risk & Quality (R&Q) Initiate open and candid coaching conversations at all levels. Visualizing and communicating analytical results, using technologies such as PowerBI, and Tableau.
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Preferred Qualifications: Experience with ETL tools (Mulesoft, Alteryx, etc) Data Wrangling: Experience in cleaning and preparing data for analysis. Desired Qualifications & Experience At a minimum the Job Holder should possess: Accumulate a robust portfolio demonstrating a minimum of 3 years of progressive professional experience as a Data Scientist or Statistician, showcasing a consistent track record of leading and delivering impactful data-driven projects within complex organizational settings.
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