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Proficient in data modeling, statistical analysis, and predictive modeling techniques, alongside a strong understanding of data visualization best practices and design principles.
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The Chief Analytics Officer (CAO) serves as a strategic thought partners to guide business decisions at the executive level and provide meaningful, actionable data-driven insights. Key analytics priorities include optimization of Customer Portfolio Management, Policy Experience improvement, Claims/Underwriting predictive analytics, Fraud detection, and seller performance optimization (focusing on sales activation.
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Experience working with HR systems and data analytics and visualization platforms (e.g., Workday, Tableau, Power BI, survey tools). Proficiency in data analysis techniques and tools, such as statistical analysis, data visualization, and predictive modeling.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence.
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Experience with machine learning algorithms and AI, including the use of frameworks to apply predictive models and advanced analytics within data engineering projects. Familiarity with analytics and data visualization tools such as Tableau, PowerBI, Mode, Superset or similar platforms.
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Proficiency in statistical analysis, data mining, predictive modeling, and data visualization tools (e.g., R, Python, SQL, Tableau, Power BI). Technology and Tools: Evaluate and implement advanced HR analytics tools, technologies, and platforms to enhance data visualization, reporting capabilities, and self-service analytics for HR stakeholders.
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Job Summary :This dynamic role is responsible for leading, developing and executing the strategic priorities for the Data and Analytics team which includes data warehousing, visualization operations, predictive analytics, and data processing for internal customers.
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Undergraduate with 7 years of experience, master’s degree with 6 years of experience, or PhD in a related quantitative field with 2 years of experience, in a non-academic setting - Data Science/Statistics/Predictive analytics or similar.
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Experience in data mining, descriptive analytics, application of statistical methods, analyses and modeling, predictive modeling, opportunity assessment and quantification, and simulation.
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You have hands-on experience with data visualization and analytic dashboard development, experience with Tableau (preferred), Domo, Power BI, Shiny, GBQ or other platforms. The Sr. Analyst, Data Intelligence is responsible for reporting and analyzing CRM marketing performance marketing analytic strategies and partnering with larger Analytics team to present, sell, and deliver results, strategic recommendations to assigned clients.
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What We Do:Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cyber security challenges.
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Strong expertise in Predictive modeling, machine learning, data mining, forecasting, and predictive analytics. Reporting to the Vice President of Marketing Analytics & Modeling, this role will be responsible for executing on Dow Jones' next-gen approach to marketing data science, predictive modeling and technology, in support of our direct to consumer propositions.
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Act as the technical SME for groups across the business in regards to sources data, customer process, data manipulation, and analysis techniques(modeling, predictive analytics and data science.
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Mastery in interpreting and presenting statistics, organized and unstructured data analysis, predictive modeling approaches, and data visualization. Knowledge of R, SQL, and Python and experience with data visualization tools such as Tableau, Looker or Power BI.
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You will analyze marketing programs and results, use predictive analytics and machine learning to create value from data, and drive strategic analytics initiatives forward.
$80,000 - $154,000Full-timeExpandApply NowActive JobUpdated 4 days ago
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