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This position will support all data reporting requests for our growing Retail Strategy team. Power BI, Tableau, or Alteryx, a plus! Use data mining to extract information and identify patterns or trends.
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The Analyst will access various sources (e.g. Epic, Axiom, Performance Manager) using tools to extract, summarize, and visualize data (e.g. Excel, Power BI, Webi, Tableau, SQL). Ability to use databases, statistical software, and data visualization tools (e.g. Tableau, PowerBI) required.
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The successful candidate has a scientific background in operations research, engineering or other STEM field and has expertise in one or more of the following areas: data science, data analytics, data engineering, data visualization, supply chain planning, statistics, machine learning, predictive modeling, decision analysis under uncertainty, artificial intelligence, Python and/or R, app development, and Tableau dashboard development.
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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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Develop roadmap for data strategy for Quote to Cash leveraging processes and key tools (including BI, Data Engineering, Data Literacy, Data Governance, and Data Science.
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5+ years of architecture and design experience for Data & Analytics solutions involving tools like Snowflake, Informatica / DBT, Spark/ Kafka, Power BI / Tableau, Python/Databricks. Experience architecting end to end solutions with cloud-based BI tools and data warehouses such as Power BI / Tableau / Snowflake / Redshift is a must.
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Experience with HRIS systems (e.g., Workday, SAP SuccessFactors) and data visualization tools (e.g., Tableau, Power BI) is highly desirable. Job Description:Position: HR Data AnalystLocation: Washington, DC (Hybrid)Duration: Long-term contract positionClient: Direct ClientRequirements: Would be someone who understands enterprise workforce strategy.
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The Director of Analytics & Data Strategy is a data leader within Strategic Operations and Analytics (SOA), which works to increase HPD's impact by analyzing and improving operations agency-wide.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau.
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Experience building dashboards, web applications, and/or interactive data visualizations with any tool (e.g. HTML, CSS, JavaScript, Shiny, Tableau, Dash, etc) We are seeking a data scientist for the Soccer Operations department with D.C. United.
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Deep expertise and hands on experience with cloud data platforms (Snowflake, Amazon Redshift), orchestration tools (Airflow), programming languages (SQL, Python, R), and visualization tools (Tableau, Power BI, Looker.
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Will assist in the rollout of CNBs Data Governance reporting and strategy structure that includes: Data Governance and Policy, Data Quality and Control, Data Strategy and Architecture, Master Data Management, and Analytics Data Management.
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Drive Data Strategy & Data Governance offering sales pipeline through cross practice/cross channel sales activity. Working knowledge and experience in multiple Data and Analytics solutions and tools such as dbt, Alteryx, Collibra, Alation, Fivetran, Matillion, Tableau, PowerBI, etc.
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Experience performing sophisticated data analysis using various data analytics tools (i.e. Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics). 6 years of data and/or analytics or strategy consulting experience; OR a minimum of 4 years of data and/or analytics or strategy consulting experience and up to 2 years of progressive functional business relevant experience for a total of 6 years combined experience; OR Advanced Degree in Business, Science, Finance, Economics or related discipline and 4 years of experience in data and/or analytics or strategy consulting.
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Experience with advanced business modeling and forecasting, business intelligence, project management and data visualization tools like SQL, Tableau, Confluence, etc. We expect the same levels of creativity, innovation, and resourcefulness that our creative teams bring to areas like design and art from our business leaders in strategy, data, live ops, and monetization.
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