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Experience in the strategic Data Cloud Snowflake ecosystem including: comprehensive data analysis, data product and metadata requirements, change data capture (CDC), B2B data integration, data modeling, performance monitoring, data visualization, and continuous improvement.
$109,130 - $196,430 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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2 years of Data Visualization experience (i.e. Tableau). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive.
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10 years of industry experience in product management, digital transformation, data science or visualization, actuary, underwriting, marketing, or sales/service within the Financial Services industry.
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Aligned to Omnichannel value streams, data products lifecycle, and information delivery processes, responsibilities for this role will include comprehensive data analysis, data product and metadata requirements, data modeling, performance monitoring, data visualization, and continuous improvement of these products and processes.
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Expert knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
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Experience in conducting and presenting statistical analysis using various technical software and data visualization tools such as SAS, SQL, and Tableau. As a dedicated Forecasting Analyst I (Mid-Level), you will define problems, collects data, applies statistical and mathematical models to establish facts and draw valid conclusions.
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You are paid within the salary range based on your experience and market data of the position. Applies innovative and quantitative analytical approaches, translates recommendations to business partners, provides reliable, consistent forecast/plan data and prepares written documentation and summaries on findings for review.
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Develops, analyzes and models operational, economic, management, multi-channel or financial data to forecast the performance of business segments and evaluate potential operational changes. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
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Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. At USAA, we have an important mission: facilitating the financial security of millions of U.S. military members and their families.
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USAA is an Equal Opportunity Employer. Previous experience with workforce management systems, like NICE and Genesys Decisions. Experience applying workforce management methodologies within a financial services contact center.
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Utilizes subject matter expertise as it relates to Life Insurance industry standards and benchmark data to inform senior leadership of key market intelligence to help continuously shape product vision; serves as a product and industry subject matter expert, educating and increasing product and industry acumen among business partners.
$158,960 - $303,830 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods with ability to connect external insights to business problems.
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Extensive data mining, interpretation, and visualization experience. Strong written and verbal communication with the ability to be a storyteller highlighting data and trends. 6 years of experience in end-to-end analysis and/or operations experience, including: requirement gathering and documentation, operational planning and forecasting, data analytics, or current/future state analysis, in direct support of business planning initiatives and optimization of business operations.
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Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
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