The Data Analytics Delivery Manager will lead a team of data analysts while staying involved in hands on development and technical work. Reporting to the Department head, this role drives the end-to-end delivery of high-quality analytical solutions that support decision making across the Bank. This role will combine strong technical expertise with the ability to turn business questions into clear, actionable analytics. They will ensure that daily work is organized, documented, and executed to a high standard. It will also play a key part in advancing the Bank’s shift toward modern cloud platforms, contributing to the implementation of Snowflake and Microsoft Fabric as we evolve our cloud analytics capability

• In coordination with the department head, prioritize, assign and oversee the tasks backlog.
• Design, build, and maintain data models, reports, and dashboards using advanced DAX and Power Query.
• Maintain the Retail Sales and Development Department’s performance monitoring goals and scorecards data solutions.
• Gather, refine and document technical requirements for analytics solutions, reports or queries from business stakeholders and subject matter experts.
• Serve as the team subject matter expert for query design across various data sources.
• Review and validate the work of the analysts including data models and queries to ensure accurate, auditable reporting.
• Oversee the creation of documentation including data dictionaries, code comments, knowledge articles and catalogs.
• Ensure the Bank’s critical code, reports and related assets are version-controlled with traceable and reviewable changes.
• Coordinate proactive monitoring and troubleshooting of analytics across platforms.
• Support data modernization initiatives defined by the department head and executed with other colleagues.
• Migrate existing reports and datasets from legacy sources to systems such as Snowflake and Microsoft Fabric, ensuring accuracy and functional parity.
• Build new analytics solutions leveraging Snowflake and Microsoft Fabric, including reusable Dataflows pipelines and phased adoption of medallion-style architecture.
• Supervise, train and motivate data analysts.

• Bachelor’s degree in a relevant field or high school diploma with minimum 2 years of related experience required.
• Minimum 5 years of experience in data analytics, business intelligence or equivalent.
• 1+ year of technical leadership or senior analyst responsibilities strongly preferred.
• Advanced Power BI expertise (DAX, Calculations, Power Query, Desktop and Service).
• Strong Microsoft SQL skills related to query design, validation, and testing.
• Strong understanding of data modeling concepts (grain, keys, relationships, fact/dimension structures).
• Experience with version control systems (preferably Azure DevOps and/or Git).
• MS Office proficiency required (including SharePoint).
• Strong organizational, problem-solving, and analytical skills.
• Acute attention to detail.
• Excellent written and verbal communication skills.

PREFERRED SKILLS: 

• Banking or financial services experience.
• Experience with Fiserv Premier, Q2 EVE, Abrigo Sageworks, and/or Salesforce Marketing Cloud.
• Experience with IBM Cognos Analytics.
• Experience with Altair Monarch Data Prep Studio and Server.
• Experience with Progress MoveIt for task automation.
• Experience with Snowflake, Microsoft Fabric or other data SaaS/PaaS solutions.
• Experience with scripting or RPA to optimize data tasks.
• Experience working in an Agile or iterative delivery environment.

WORKING CONDITIONS:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Regular attendance and punctuality are essential functions of every job. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential functions. 

Perform routine and typical tasks of an office such as typing, taking notes, reading/reviewing, computer work, filing, copying, answering phones, etc. that may require employee to view, stand, stoop, kneel, or crouch and lift. Position requires flexibility and willingness to be available to work generally during normal business hours, but can include early mornings (6am), evenings and weekends. 

The successful candidate will be required to prove on the first day of work that they are legally authorized to work in the U.S. The Bank will not sponsor a candidate for a visa or for work authorization. 

COMPENSATION:  $110 to $140,000 annually