Senior Business Information Management Analyst

Senior Business Information Management Analyst

Requirements

• Demonstrable experience displaying remarkable attention to detail with complex analyses
• Significant experience analyzing data, gathering metadata, or conducting data design to support system development
• Superior communication skills, written and verbal
• General knowledge of data management with an appetite to learn about Risk Management data, systems, and processes
• Analytical and problem-solving skills are required to interpret data and draw conclusions
• Advanced knowledge of various data sources, tools and technologies used in preparing summaries and reports
• Ability to communicate effectively in both oral and written form
• Ability to work collaboratively and build relationships
• Ability to work successfully as a member of a team and independently
• Ability to exercise sound judgement in making decisions
• Ability to analyze, organize and prioritize work while meeting multiple deadlines
• Ability to handle work while meeting multiple deadlines
• Ability handle confidential information with discretion
• Ability to contribute to strategic direction of the function and provide advice to senior leadership

Responsibilities

• Analyze and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models) and business rules, data life-cycle management, governance, lineage, metadata and reporting elements
• Apply automation and innovation on data platforms and on-going on any new development projects / initiatives aligned to business or organizational strategies
• Design and implement complex business data information management frameworks to provide a solution that meets business requirements
• Collaborate with technology and business partners to resolve issues and ensure requirements and established SLAs
• Work closely with various technology/project teams to understand business data and provide analysis and requirements to ensure the data design / development initiatives are in line with the planned design and standards
• Work with other various partners/ stakeholders to ensure project success
• Develop business requirements by researching / analyzing and documenting business data requirements
• Provide expert guidance within projects and other various change initiatives to support data impact assessments and data risk mitigation
• Implement processes aligned to data information management standards and ensure data quality (e.g., rules / thresholds / assessments, etc.) and requirements are developed
• Develop and maintain knowledge of data available from upstream sources and data within various platforms
• Identify critical data / critical data elements to support Business Segment data governance and/or data management frameworks / programs
• May be responsible to understand and utilize business information management data deliverables
• Ensure business data and information is retained and disposed in compliance with enterprise data standards, policies and guidelines
• Perform data profiling using TD tooling and ad hoc system query languages to validate data analysis
• Provide support throughout data lifecycle to resolve data issues and support user community by helping users interpret the data
• Lead the investigation of root causes for data issues and ensure data issues are resolved
• Identify and/or define knowledge transfer and data expertise activities to support business teams using the information management solutions
• Adhere to enterprise frameworks or methodologies that relate to data activities for business area
• Ensure business operations follow applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets)
• Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations
• Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices
• Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts
• Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite

Preferred Qualifications

• Data Management experience – data tracing specifically
• Experience with Agile techniques, Jira and Confluence
• Risk Management experience