As a dedicated Business Intelligence Analyst Lead, you will analyze complex business problems and issues using data from internal and external sources to provide insight to analysts and decision makers. Identify and interprets trends and patterns in datasets to locate influences. Create specifications for reports and analysis based on business needs and required or available data elements. May provide consultation to users and lead cross functional teams to address business issues. Prototype solutions for displaying information based on business needs. Lead and provides oversight in gathering complex and often unique business requirements by partnering with customers to define the business problem and data needs. Utilize and expert understanding of multiple data structures and sources to lead or direct the development and implementation of business intelligence solutions, which may include data visualization, data transformation or data collection. A strategic partner with IT execution teams on the development of analytic infrastructures, data engineering, or related business intelligence efforts. Includes collaborating on the design and implementation of technical standards and governance practices. Apply data visualization best practices - often selecting the right data ‘tool for the job’ - to identify and interpret trends or patterns while following standard Enterprise branding. Understand the value of prototyping, usability, and the end-user experience to maximize the impact of the final data visualization product (dashboard, report, insight, or analysis). Act as a trusted data visualization advisor to the stakeholder/end-user in order to drive business value. Provide thought leadership and system thinking to influence relevant data, information, and application architecture decisions. Agile champion who is responsible for the methodology, execution, and team education on best practices. Provide internal team leadership by mentoring and providing guidance on business intelligence tools, techniques and processes. Prioritize, assign, and monitor work assignments under the direction of management. Influence and drives Business Intelligence maturation across the Data & Analytic community. Actively participates in industry, COE, or other discipline-relevant groups/panels to keep abreast of industry trends and share best practices with team. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
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