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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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The Data Specialist is expected to resolve Analytics tier 1 tickets. The Processing Analytics Data Specialist position is responsible for a variety of duties on the Analytics Team for the Processing Departments in Illinois, Massachusetts, New York, Ohio, & Pennsylvania (Analytics Region 2, Pharmacann.
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Min 4 years of experience as a Data Scientist in the ad-tech industry, including the following experience in: business intelligence, data mining, analytics, and statistical modeling disciplines.
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Extracts, analyze, massage, cleanse and update data from Oracle, Dun & Bradstreet, ZoomInfo, Salesforce.com and CSA web site analytics on a routine basis. Responsible for providing strategic and tactical support to the organization by analyzing, maintaining and cleansing data from various databases, including Oracle, Dun & Bradstreet, ZoomInfo, and Salesforce.com. Provide support to Canon Solutions America Sales Leadership and Branch Administration teams with Territory Analysis to include prospect viability, territory equity and quota development.
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Abt Associates seeks a mid-level professional in Data Analytics with a background in data used by the United States Department of Health & Human Services (HHS) Centers for Medicare & Medicaid (CMS), Social Security Administration (SSA), Centers for Disease Control (CDC), or other HHS agencies.
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Reporting to the Vice President, Data Analytics Manager, Analytics, in the Compliance Department, Americas Division, the Sanctions Data Analytics Associate assists in the management and execution of large-scale projects in the Sanctions Compliance area.
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Be an expert and drive architecture in one or more areas of data storage (Data Lakes and Warehouses), data integration, Business Intelligence and analytics. - Keep up with marketing trends in the Data & Analytics area and identify new opportunities of technologies & solutions; you will be part of the team driving the technology selection and partner with an engineering team to conduct proof of technologies.
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Preferred: Certification in at least one enterprise platform for data management and analytics such as AWS Data Analytics, Microsoft Azure, or Google Analytics. Evidence of strong skills in data analytics and management languages such as SQL, Python, or R.
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Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus Good to have SAS, R, KNIME, Matlab Experience with data visualization and business intelligence tools like Tableau Modeling experience in card industry or financial service company using for fraud, credit risk, payments is plus Proficiency in designing & solving classification/prediction problems using open-source libraries.
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Audit Management, Databricks Platform, Databricks Unified Data Analytics Platform, Data Integrity, Data Presentations, Data Science, Internal Controls, Microsoft Azure, Microsoft Power BI, Operating Effectiveness, People Management, Python (Programming Language), Risk Based Auditing, Risk Management and Mitigation, Scientific Data Analysis, Technical Leadership.
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Bachelor’s or Master’s degree in HR, Industrial Organizational Psychology or in a quantitative related field such as data science business analytics, statistics, or mathematics. Liaise with IT counterparts to ensure HR data and HR analytics requirements are included appropriately within enterprise analytics strategies, are enabled by enterprise tools and infrastructure and benefit from synergies with enterprise analytics expertise and initiatives.
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The Processing Analytics Supervisor will be responsible for ensuring that the Processing Analytics team has correctly entered data across all data systems (Google sheets, Smartsheets, METRC, Biotrack & NAV.
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This role will also drive delivery of HR data analytics for all Corporate functions. Excellent skills in Excel, Word, PowerPoint, Power BI, Data Analytics tools. Senior HR and Data Analytics Specialist Mclean, VA.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Expert Microsoft t-SQL and DAX development skillsExtensive experience using various data modeling techniques (Kimball, Inmon, or Data Vault)Experience using the Power Platform, particularly Power Bi and Power AutomateExperience in a multicloud environment, with a focus on GCP.
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Title: data analytics Company: Serendeputy
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