Manager Business Intelligence

Job Title: Manager Business Intelligence

OVERVIEW --------

The Manager Business Intelligence is responsible for leading the design, development, and implementation of critical business intelligence initiatives and projects that will contribute to strategic decision-making across the organization. Identifies, researches, and resolves complex technical problems. Ensures that the use of business intelligence applications enhances business decision-making capabilities.

The Manager Business Intelligence is responsible for managing analysts staff in the day-to-day performance of their jobs, hiring and training new analysts, and ensuring staff productivity remains high. Ensures that projects, department milestones, goals are met and adhering to approved budgets. Has full authority for personnel actions.

This role is critical to fuel a data-driven culture and to help make informed business decisions.

ESSENTIAL DUTIES AND RESPONSIBILITIES --------------------------------------

### Technical Team Leadership and Management

• Provide technical team leadership and management supporting to the Business Intelligence team.
• Responsible for all tactical operational and technical responsibilities associated with the following BI and BI-related functional areas:
• Data preparation, sourcing, acquisition, integration
• Data warehousing
• BI governance, including data dictionary, report integrity, data quality, and data audits
• Reporting, analytics, data exploration
• Information delivery portals, dashboards
• Advanced predictive analytics
• Work with large data sets - structured and unstructured

### Leadership and Management

• Work closely with internal stakeholders to implement solutions that meet their needs while ensuring the priorities for the team are properly aligned to business needs.
• Identify, analyze, and interpret trends or patterns in complex data sets and report findings and make recommendations to company leadership.
• Design and implement ETL procedures for intake of data from both internal and outside sources, and ensure data is verified and quality is checked.

### Supervisory Responsibilities

• Plays a critical role in the team development and accountability.
• Responsible for hiring, documented coaching, check-ins, annual performance feedback, and documentation, along with building and measuring goals with each partner.
• Responsible for day-to-day operations management of the department, displaying initiative and creative thinking to attain business objectives while streamlining processes as applicable.
• Empower members of the team to grow their skillset and advance their career goals.

### Compliance and Quality Assurance

• Responsible for compliance with all federal, state, and local laws, rules, and regulations affecting the Company.
• Responsible for participating in quality assurance, compliance, and in-service and continuing education activities as requested by the Company.
• Responsible for performing other duties and responsibilities as required.

### Job Requirements

• Education and Experience:
• Degree: BS, MS, or Ph.D. in Computer Science, Mathematics, Analytics, or Data-Driven Discipline.
• Number of years of supervisory management experience: 5 to 10 years.
• Minimum of 5 years of experience managing Business Intelligence Analysts and/or Business Analysts.
• Proven experience leading reporting and analytics teams in an enterprise environment.
• High proficiency in dimensional modeling techniques and their applications, multidimensional data modeling, such as star schemas, Snowflake, denormalized models, handling slowly changing dimensions and attributes.
• Strong analytical, consultative, and communication skills, as well as the ability to make good judgment and work with both technical and business personnel.
• Hands-on experience with SQL and data visualization tools, such as Tableau, Power BI, or similar.
• Hands-on experience with SSRS, SSIS, SSAS, PowerShell, .NET, JSON, C.
• Experience with Microsoft Azure and Amazon AWS computing platforms.
• Knowledge of Modeling Languages, R, Python, and good understanding of data security and privacy technologies.
• Familiarity with Microsoft Fabric concepts and components, Lakehouse pipelines, semantic models, with prior experience in modern analytics platforms.
• Snowflake experience preferred, nice-to-have.
• Experience partnering with business analytics and IT stakeholders.

### Skills and Abilities

• Strong analytical and problem-solving skills with the ability to translate data into business insights.
• Ability to manage multiple priorities and deliver results in a fast-paced environment.
• Strong attention to detail and commitment to data quality.
• Ability to clearly articulate reporting and analytics needs across technical and non-technical audiences.
• Willingness and ability to learn and adapt to new technologies.
• Demonstrated verbal and written communication skills, including executive-level communication.

COMPENSATION AND BENEFITS ---------------------------

The expected base salary for this position ranges from $120,000 to $140,000 USD, with a bonus target of up to 10% of the base salary. This range is a general guideline and represents a good faith estimate of what we would reasonably expect to pay for this position. We reserve the right to modify this range in the future as organizational and market conditions dictate.

EQUAL EMPLOYMENT OPPORTUNITY -----------------------------

We are an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, including pregnancy, sexual orientation, or gender identity, national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local law. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with applicable laws. Applicants requiring accommodation during the application or interview process should contact the Human Resources department.