The Business intelligence Manager will manage our data warehouse & business intelligence analytics and reporting. Requires strong business analysis, data warehouse/reporting and project management skills to successfully define and deliver projects of various size and complexity that impact multiple business units and IT stakeholders.
Analyze qualitative and quantitative research data results, create clear, compelling presentations that illustrate and communicate research findings, insights, and actionable recommendations to drive business results.
Responsible for defining and implementing the New Solutions strategy in his / her respective region defining the markets, the go-to-market strategy, key accounts and customers, and internal functional support to achieve successful adoption of new deployment of software solutions.
Use software tools to combine data and knowledge from independent systems to create a holistic view of a market to support decision making; communicate findings and recommendations along with the methodology used to drive to conclusions.
Manage all IT project requests through the Request for Service process and create all supporting documentation required including, defining key metrics, value creation, adoption, user satisfaction, and client key element assessment.
Communicate effectively across multiple stakeholder organizations when designing, building and developing dashboards; cultivate strong collaborations with business and technical partners, and senior staff.
Conducts, analyzes and reports on market intelligence data for the purpose of analyzing RSLs market parity, leadership and competitive position, including (but not limited to):Product relevance and competitiveness.
Assess progress of reporting and data analytics requirements, integration, analysis, and modeling-related workstreams across multiple projects, assess interdependencies, and provide recommendations for reallocation of resources, prioritization, sequencing of activities and/or approach as necessary to meet goals.
Comfortable with all aspects of Financial reporting, ETL/datawarehousing, data modeling, regulatory issues around data (SOX), data integration, data stewardship, report and dashboard development, performance tuning, etc.