Corporate Reporting Analyst
3 months ago
**Corporate Reporting Analyst - Temporary Assignment (October 2024 - March 2026)** Status**: Temporary Assignment (October 2024 - March 2026)
**Hours**: Monday - Friday, 35 hours/week
**Home Campus**: Fennell (hybrid work arrangements available)
**Rate of Pay**: Payband 10 ($85,528- $106,911 per year plus 4% in lieu of vacation)
**Posting Date**: September 19th, 2024
**Closing Date**: October 2nd, 2024 at 7:00 pm EST
We believe the rich diversity among our students and the communities we serve should be reflected within our workforce. As educators, we believe it is important to act and show leadership in advancing the principles of reconciliation, equity, diversity, and inclusion in our community.
**Job Summary**
Reporting to the Manager, Data Analytics and working closely with Human Resources, Finance, Budget and Planning, Student Services and Academic management, the Corporate Reporting Analyst will develop processes/reports, methodologies, and analytical tools to support and develop each of these areas from a Business Intelligence (BI) standpoint.
Business Intelligence (BI) is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information to enable more effective strategic, tactical, and operational insights and decision-making. Therefore, the BI portion of the role is to strategically implement BI software and systems, including integration with databases and data warehouses.
Data mining and analytics differs from BI in that it is a technique that attempts to show statistical correlation and cause between disparate sources of information or look at data in new and unexpected ways.
This position requires a thorough understanding of the requests of all the Divisions/areas of the College, so that appropriate solutions are developed and deployed. These solutions require providing reports and analytical guidance on sensitive matters related to employee, student and financial matters so it is incumbent on these individuals to adhere to corporate privacy and security policies.
**What you’ll be doing**:
**Operational Management**
- ** **Directs, organizes and leads sub-projects in the implementation and use of new BI and data mining and analytics software tools and systems.
- Assists in development of the semantic layer, metadata, reports and report definitions.
- Develops dashboards, scorecards, reports, graphs and analytical models that support client’s needs.
- Assists in the design of databases and data warehouses to ensure interoperability with BI and data mining and analytics solutions.
- Works with project managers to ensure that data entry, retrieval, change and delete functions meet business requirements for project completion.
- Designs and delivers end-user training and training materials; provides technical and analytical support.
- Promotes BI and data mining benefits across the organization.
**Strategy and Planning**
- ** **Assists in assessing and cultivates long-term strategic goals for BI and data mining and analytics development in conjunction with end users, managers, clients, and other stakeholders.
- Creates data mining architectures, coding standards, statistical reporting, and data analysis methodologies.
**Deployment**
- ** **Conducts research and makes recommendations on BI and data mining products, services, and standards in support of procurement and development efforts.
- Evaluates and selects database/data warehouse components, including hardware, relational database management systems, Extract-Transform-Load (ETL) software, metadata management tools and database design solutions. This includes blueprinting, gathering requirements, designing, and rolling out BI solutions to end users.
- The incumbent is also responsible for ensuring high levels of BI availability and will support adoption and deployment with sound technical skills and thorough understanding of business needs.
**Other related duties as assigned**
**What you’ll bring to the role**:
- ** **A three (3) year Diploma or Degree in such disciplines as Computer Science, Math and Statistics, or a related field is required at the point of hire into this position.
- A minimum of five (5) years of experience in a similar capacity.
- Able to prioritize and execute tasks in a high-pressure environment.
- Experience working in a team-oriented, collaborative environment.
- Expertise in BI tools.
- Strong understanding of data mining models, structures, theories, principles, and practices.
- Strong familiarity with data preparation, processing, classification, and forecasting.
- Strong understanding of relational database structures, theories, principles and practices.
- Demonstrated ability with MS Access.
- Good knowledge of applicable data privacy practices and laws.
- Strong written and oral communication skills.
- Good interpersonal skills.
- Exceptional analytical, conceptual, and problem-solving abilities.
- Strong understanding of SQL.
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