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In-depth knowledge of the Databricks Unified Analytics Platform and its features for collaborative big data analytics. Knowledge of cluster management, optimization, and scaling for efficient data processing.
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As the Senior Manager of Analytics, you will support one of four Marketing GMs in guiding data-driven decision-making through business simulations and optimization, competitive intelligence and war-gaming, and risk management.
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Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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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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At least five years or more of work experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
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Lead and mentor a team of technical professionals in the design, development, and implementation of big data solutions and data analytics projects within the financial services domain.
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6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations or HR/People Analytics, Modeling or related. Master's degree in industrial/organizational psychology, Data Analytics, or Statistics.
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Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows. Experience in designing and implementing ETL processes using Databricks notebooks for efficient data extraction, transformation, and loading.
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A broad understanding of analytical processes including but not limited to data management, forecasting, optimization, predictive modeling, and visualization. Contribute to the Target sales analytics teams’ analytical capabilities, skills with tools, and understanding of new data sources.
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Preferred Qualifications If we had our say, we’d also look for: 6 + years of experience in a People Analytics/Data Science role Master’s degree in industrial/organizational psychology , Data Analytics, or Statistics 3 + years of experience as People Analytics Insights partner, consulting background is a plus.
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Optimization of Spark jobs and Databricks clusters for better performance. Top 3: 1 Skill : Data Engineering 5+ 2 Skill : Data Bricks 5+ 3 Skill : Sparks/ Dev ops practices 5+ Knowledge of data security best practices and the implementation of measures to ensure data privacy and compliance.
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Along with media buyers draft a data-driven marketing strategy, prioritizing testing and optimization initiatives across all marketing channels (paid search, social media, email marketing, etc.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Experience developing/training and maintaining models in multiple genres of Advanced Analytics: machine learning, deep learning, optimization/prescriptive modeling, NLP/text analytics, cognitive/generative AI.
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Job Title: “SR Project Analyst / Healthcare Data Analytics” Looking for at least 5 years of experience healthcare data analytics. The Sr. Project Analyst will support process optimization exercises based on Continuous Improvement principles (Six Sigma, Lean.
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