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The ideal candidate will have expertise in cloud technologies, particularly Google BigQuery, DBT, and Looker along with working experience in onPrem systems such as Teradata, SAP HANA. You will be responsible for crafting, building, and maintaining our data infrastructure and analytics solutions.
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Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements. Strong experience with Databricks and Apache Spark for data processing and analytics.
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The Data Technician position is responsible for a variety of duties on the Analytics Team for Cultivation data capture using various systems. The focus of the Data Technician is to properly report production and processing information in METRC/Biotrack/MJ Freeway, Dynamics NAV and our internal systems.
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The ideal candidate will play a crucial role in driving data-driven decision-making processes, with a focus on marketing mix modeling, database management, and advanced analytics. The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Syndicated Data, IRI, Nielsen, Circana, Data Management, Python, R, SQL, Tableau, PowerBI, Strategy, Categories, Analytics, Insights, Statistics, Data Science, Data Analysis, Advanced Analytics, Data Analytics, Consultant, Individual Contributor, CPG, Consumer Product Goods, Consumer Products, Marketing Analyst.
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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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Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions.
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This role will primarily be responsible for building out our analytics platform on Databricks, using dbt and Python for data transformations. The duties of the Senior Analytics Engineer will comprise data discovery, data modeling, data engineering, and data governance, thus serving as a full-stack analytics engineer leveraging the modern data stack.
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Experience in image processing and data analytics, with deep learning/hybrid algorithms is preferred. As an Advanced Development Center Data Analytics Manager (or Group Lead), you will be responsible for leading a team of 10-15 direct reports consisting of data analysts and algorithm developers.
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The Fraud Analytics unit within the Data Reviews Division of the Office of Inspector General (OIG) is responsible for performing innovative and advanced data analytics to detect fraud, waste and abuse in state health and human services programs such as Medicaid, the Childrens Health Insurance Program (CHIP), Supplemental Nutrition Assistance Program (SNAP) and Temporary Assistance for Needy Families (TANF) by supporting data-driven investigations, reviews, audits, and inspections.
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As aPeople Analytics Consultant,you willengage with clients to advance their people analytics capabilities across strategy, people, process, data and technology and to help them to deliver business-driven, actionable people insights across work, workforce and workplace topics (e.g., DEI, attrition, mobility, future of work, talent acquisition, compensation, performance management, etc.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics.
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Experience in data analytics or related field. Analytics Tools: Excel, Tableau, AWS, BigQuery, NoSQL,Hadoop, Spark, Airflow, Gurobi, JIRA, Stata, Git. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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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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Fraud Analytics seeks a motivated and talented Lead Data Engineer (Data Architect I) to contribute to the Fraud Analytics units efforts to develop and implement algorithms, artificial intelligence/machine learning (AI/ML) models, and predictive analytics to generate insights and actionable leads to identify and respond to risks of fraud, waste, and abuse.
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