PRIMARY ACCOUNTABILITIES AND MAJOR ACTIVITIES
Data Analytics & Reporting Center of Excellence
Creates a business analytics and reporting playbook that defines processes, methods, guiding principles and governance, as well as the information delivery data layer.
Provides oversight to data analytic activities across the organization. Governs activity in data environments to ensure consistency.
Assesses the current state of business analytics tool implementations and architectures; reviewing for gaps against industry best practices.
Creates and maintains playbooks for business intelligence tools.
Completes reporting and complex analysis not supported within the business domains.
Develops processes to promote reuse and efficiency in reporting for business functions. Promotes consistent use and reuse of data environments throughout the enterprise.
Leads the organization in adoption of industry best practices for delivering business innovation data environments and reuse of innovation results.
Analytics and Reporting Tool Optimization
Produces and maintains a report and analytics capability catalog.
Supports business community with tool support and training (Business Objects, SAS, others).
Supports and leads the organization in tool selection and optimization of data mining and data visualization tools to meet business requirements.
Supports a business analytics sandbox for prototyping and innovative solution testing.
Assists in implementing data warehouse solutions, ensuring that the solutions provide advanced analytics capabilities and support data mining.
Analytics Project Support
Conducts detailed interviews that align with business requirements and provide report-level functional and non-functional requirements.
Creates statistical models that allow the organization to make more informed business decisions.
Assists the business by creating standard, ad hoc, and parameterized/prompt reports.
Performs reporting and complex analysis not supported within the business lines.
Creates executive dashboards and KPI scorecards as requested.
Completes data visualization activities including the support of the architecture and tools used to complete the reporting.
Conducts data mining and "what-if" analyses.
Supports the architecture and environments needed for innovation and R&D analysis.
Uses a logical and systematic approach to accurately analyze data, problems, and situations.
Understands the business and uses good judgment to guide it.
Maximize Customer Experience
Planning & Organizing
Completes projects and tasks efficiently and effectively.
Analyzes data effectively to manage and achieve results.
Establishes positive business alliances to accomplish objectives and execute business strategy.
SPECIALIZED KNOWLEDGE AND SKILLS REQUIREMENT
Demonstrated experience working with big data to support business strategy projects.
Demonstrated experience working with data mining tools.
Solid knowledge and understanding of logistic regression, linear/non-linear regression and time series analysis models.
Demonstrated experience leading business intelligence reporting projects.
Demonstrated experience developing business intelligence architecture and reporting.
Demonstrated experience with business intelligence, data analytics, reporting and visualization tools (e.g. Business Objects, SAS, Cognos, Tableau).