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    Business Analyst II - Minneapolis, United States - Ameriprise Financial

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    Description
    Provide support by performing analysis and reporting, to provide recommendations for the business. Identify process improvements, adjustments, and opportunities using machine learning (ML) and data analysis. Provide data engineering expertise for projects, which may involve developing solutions for problems within the business. Resolve problems or issues through methods of trouble shooting and separate analysis. Using sound information and theory, provide management with recommended actions to resolve issues or build value for the business. Capture documentation of ML model development and use.

    Key Responsibilities Using data from a variety of sources, analyze complex business issues, incorporating mathematical and technological expertise, and sound analytical processes.

    Statistical analysis, modeling, & other quantitative techniques are used to answer business questions, identify issues and/or recommend courses of action in the course of analysis.

    Use data lake to build actionable insights through intuitive visualizations, redefining data analytics to drive innovative solutions, tell the story, and guide leaders in making data-driven decisions.

    This position will craft reporting solutions to meet business objectives, including auditing tools and automations by working with internal and external partners.

    Lead multiple relationships across the organization, and at times with external partners. Be the main point of contact to answer questions within business analyst area of expertise.

    Act as liaison among business leaders, staff, and utility functions to gather information and share standard methodologies, and to ensure initiatives are implemented appropriately.

    Provide and review reports of quantitative and qualitative data produced both internally and externally to the company. Ensure accuracy and appropriate report design. Be responsible for resolution to reporting issues as they arise.

    Reports may be of a routine nature or may be requested or run on an ad-hoc basis as part of a larger project or special business concern.

    Present results of analysis and/or recommendations to business managers, and partners. Communicate action plans and priorities to appropriate partners.

    Required Qualifications Bachelor's degree or equivalent experience - 5 years of relevant experience Positive relationship and communication skills in working with colleagues and influencing others on recommendations and analysis.

    Ability to synthesize large quantities of information, build linkages, and express complex concepts in a concise and audience-relevant manner. Experience in visualization tools such as Power BI, Tableau, AWS QuickSight. Ability to thrive in rapidly changing environment - proactive, flexible and able to handle and prioritize multiple projects simultaneously. Strong analytical, quantitative, and problem-solving skills and ability to use statistical analysis and modeling, with associated technology applications. Develop solutions for complex problems for the business unit. Identify and recommend changes to policies, procedures, and models.

    Experience with data engineering and ML model creation Preferred Qualifications Bachelor's degree in MIS, Business, Mathematics, Economics, Data Science, or computer programming.

    Ability to build PowerPoint presentations and dashboards for senior leadership.

    Experience with one or more Business Intelligence and Data Mining Tools desired (e, g, SQL, python etc.) Experience with Dataiku, Azure, AWS Data Lake, AWS Quicksight, and/or SageMaker, or other ML tools.

    Strong focus on qualitative and quantitative data analysis including statistical techniques, general data analysis, and trend analysis among others.

    Ability to quickly grasp and articulate the essence of complex issues/data; adept at operating with both high-level concepts and detailed analysis.

    Excellent storytelling, facilitation, communication, and presentation skills. Ability to build content for presentation to senior and executive level leadership. Ability to effectively lead organizational change activities in customer and employee behavior. Shown ability to successfully collaborate with others, initiate action, and adapt to change.

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