Business Solutions Analyst at Farmers designing and implementing analytics-centric systems for business outcomes. Collaborating with teams and developing complex data analytics solutions within P&C insurance.
Responsibilities
partners with business teams to design and implement complex data and analytics-centric and value-added systems and solutions that enable business outcomes
develops complex value-based analytics solutions for quality, business process functionality, or other strategic/data/analytic initiatives that are complex in nature
collaborates with cross-functional teams to identify and establish analytics requirements
creates detailed documentation and business plans that address stakeholder needs
liaises between IT, data science/R&D teams and Product Management for analytics models and data solutions
develops and implements complex enterprise-wide data integration strategies that utilize various data-marts and data warehouse applications to enhance reporting
continuously works across departments with a variety of stakeholders to develop and execute project plans, improve data platforms, dashboards, and reports to meet emerging and changing business demands and guidelines
consults with minimal guidance on UAT, technical specifications, strategic planning, contract design, technical support, testing updates, and trainings
learns and uses new Microsoft Office Products, SQL, and other tools to extract data and build dashboards
Requirements
Bachelor’s degree, or foreign equivalent, in Business Administration, Finance, or a closely related field
5 years of experience in the job offered, or as a Product Analyst, Business Analyst, or similar analyst position
3 years of experience with each of the following:
• working in P&C insurance industry;
• coding in SQL including Tables, Window Functions, Case Statements, and Partition;
• working with Excel analytical tools, including pivot tables, charts, data validation, and what-if / scenario analyses;
• working with Excel data management tools, including data tables, linking across files, nested formulas, array formulas and data cleaning;
• working with Power BI Dashboards and metric builds.
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