Manager, Business (Data) Process Analytics

Manager, Business (Data) Process Analytics

Apex Systems is a Global IT Services Firm and our Staffing practice is looking for a Manager, Business (Data) Process Analytics with experience working with SAS Enterprise Guide (EG), SQL, Excel, & with a Business Data Analyst Mindset, to place at our client, a Big Five Bank. You will be joining a highly collaborative, fast paced and high performing team.

Client: Big Five Bank

Line of Business: Personal and Business Banking (Investment Process)

Estimated Start Date: Mid April 2024

Length of Contract: Mid Oct 2024. Possibility for extension/conversion is dependent on multiple factors.

Working Location: 2 Times a Week out of Downtown Toronto

Working Hours: 37.5 hours per week

Job Description:

The Manager, Business (Data) Process Analytics is responsible for the development, production, and ownership of business process metrics and reporting across Personal and Business Banking.

The individual will have an end-to-end project accountability. Beginning with understanding the business KPIs, they will leverage expertise in process design to determine an efficient and optimal process for delivering reporting results. Ad hoc analysis will be a component of the role, digging into new territory to identify areas for organizational improvement. Report development will include structuring the data flow and setting up automation. Ownership will continue post-implementation and include investigations, improvements, and managing ongoing partner relations.

Key Accountabilities

Analytic Capabilities & Critical Thinking

• Understand business KPIs, and relevant drivers and factors that can help reach business objectives.
• Internalize and understand the larger context of data elements at different levels (e.g. transaction, account, product, customer, employee, channel, line of business) and leverage a strong awareness of how these attributes intersect.
• Analyze large, complex datasets (from multiple sources, both structured and unstructured) to drive insights and recommendations.
• Be a practitioner of data best practices including QA, stable design, code optimization, and automation techniques.
• Design and improve production and ad-hoc reporting processes with the goal of optimizing consumption and performance.

Design and Delivery of Performance Reporting and Dashboards

• Responsible for performance measurement reporting and visualization that monitors overall and incremental impact on process health in quantity and quality.
• Lead the definition, creation, and maintenance of standardized dashboards and performance reporting for business partners.
• Refine design proposals in collaboration with various stakeholders in Personal and Business Banking.
• Apply thoughtful consideration to the best way to present complex materials in a consumable way.
• Create new analyses and/or tools that deliver insights that enable business users to further their objectives.

Leadership and Relationship Management

• Work collaboratively with other analytics teams and business subject matter experts to refine personal understanding and ensure consistency in reporting and design.
• Establish and communicate standards for accurate business requirement, technical specification, and work process documentation associated with our metrics and reporting.
• Engage with business partners to ensure needs are met, update on delivery status, and provide transparency and clarity to results.
• Leverage consultative skills and knowledge of best practices to provide guidance and consultative sessions with partners to share insights and recommendations rooted in data.
• Use these sessions to flag potential areas for deeper investigation, growth, or prioritization.
• Consult with and deliver results to partners within tight time constraints that consistently meet or exceed their expectations.

Risk Management

• Ensure measurement reports meet governance and risk policies and identifying opportunities and solutions for continuous improvements.

Knowledge and Skills

Knowledge

• BS/BA in Commerce, Finance, Statistics, Quantitative Methods, Math, Computer Science, Marketing, or similar.
• 3+ years of applicable experience.
• Strong foundation in data and analysis.
• Ability to pull data from multiple sources and formulate comprehensive and actionable reports.
• Strong analytic and pattern recognition to connect causal factors and form hypotheses.

Skills

• Expert proficiency in SQL, Excel, and PowerPoint.
• Proficiency in SAS EG coding.
• Strong communication skills (verbal & written); ability to provide concise, clear reporting, actionable analysis and presentations.
• Ability to interact with all levels of end users and technical resources.
• Experience in data visualization preferred, including visualization software such as Power BI, Microsoft Reporting Services, Spotfire or Tableau.
• Creative problem-solving skills.
• A ‘can-do’ attitude and passion for analytics including the insight and value it can provide.
• Self-motivation and the capacity to work under pressure and tight deadlines.
• Proven ability to self-check work to ensure results are error-free.
• Ability to plan, organize, and work on multiple tasks simultaneously.