Data Warehouse Manager

JOB SUMMARY:

The Data Warehouse Data Analysis Manager will be responsible for extracting, analyzing, and interpreting complex data warehouse data to provide actionable insights for business stakeholders. This role involves collaborating with cross-functional teams, managing analytical projects, and ensuring the delivery of accurate and relevant analyses to support organizational goals. This position will serve as project manager for the rollout of the National Data Warehouse and serve as main point of contact once rollout has been completed.

Fosters a collaborative and high-performance team culture to ensure effective communication and productivity.

Oversees the analysis of large and complex datasets stored in the data warehouse.

Extracts meaningful insights and trends to support business decision-making and strategic planning.

Collaborates with business stakeholders to understand reporting requirements and expectations.

Designs and develops reports and dashboards that effectively communicate key metrics and performance indicators.

Works closely with data engineers to optimize queries and data retrieval processes for improved performance.

Ensures data quality and integrity in analytical outputs.

Utilizes data visualization tools to create compelling and easy-to-understand visual representations of analytical findings.

Presents findings to both technical and non-technical audiences in a clear and concise manner.

Collaborates with business users to understand their analytical needs and provide insights that drive informed decision-making.

Acts as a liaison between the data analysis team and other departments within the organization.

Manages analytical projects from conception to completion, ensuring timely delivery and high-quality outputs.

Prioritizes and allocates resources based on project requirements and deadlines.

Stays informed about industry trends, emerging technologies, and best practices in data analysis.

Implements continuous improvement initiatives to enhance the efficiency and effectiveness of the data analysis function.

Leverages knowledge of the business to develop business intelligence solutions.

Independently and proactively provide consultative analytical support for business partners across Client Experience, Sales, Marketing, Finance, Compliance, and Operations as it relates to existing and potentially new deliverables.

Leads presentations on analytical findings when necessary, providing data-driven business insight to enable important business decision making processes.

OTHER RESPONSIBILITIES:

Oversees the National Data Warehouse project, coordinating with external vendors, managing territorial responsibilities, and engaging with other internal stakeholders as the primary liaison.

MINIMUM QUALIFICATIONS REQUIRED:

EDUCATION AND EXPERIENCE:

Bachelor’s degree in data science, Statistics, Computer Science, or related field and 5+ years of experience as data analysis manager or related roles. OR associate’s degree in related field and 7+ years of experience as data analysis manager or related roles. 10+ years of experience within the data analysis field can be substituted for education requirement.

KNOWLEDGE, SKILLS AND ABILITIES:

Strong proficiency in data analysis, statistical modeling, and data visualization.

Experience with Enterprise Resource Planning, Customer Relationship Management (CRM) business processes/systems and cloud-based applications, data, including data warehouse and BI solutions (specifically Power BI and/or Tableau), experience with SQL programming.

Demonstrates ability to understand current state business processes and work with business to design efficient and effective business processes specifically focused on development and finance.

Strong mentoring and coaching aptitude; listens effectively, demonstrates empathy towards individual concerns and drives conflict resolution; promotes a culture of collaboration and continuous improvement.

WORKING CONDITIONS:

This position will be based at National Headquarters, but remote work will be considered.