Manager, Business Intelligence

This description•Denver, CO

5d•Onsite

About The Position

Kroenke Sports & Entertainment (KSE) is seeking a Manager, Business Intelligence for its Strategy & Analytics department within the Data & Analytics business unit in Denver, Colorado. The role is responsible for managing the day-to-day Business Intelligence workflow, prioritizing tasks, executing complex projects, and coaching and managing a team of 3–4 analysts. It reports to the Vice President, Data & Analytics. The manager leads the development, maintenance, and optimization of dashboards, scorecards, and data visualizations used to support business operations and executive decision-making. The role mentors analysts on reporting standards, data validation, visualization design, and analytical methodologies, and partners with business teams to identify objectives, reporting gaps, data blind spots, and opportunities for operational improvement and revenue growth. The manager also works with the Data Science team to define data requirements, address data inconsistencies, and improve reporting data pipelines, while helping stakeholders translate operational needs into analytical solutions. The position is salaried and exempt. The work is performed in typical office conditions. Due to the sports and entertainment industry, the schedule may be flexible and may include evenings, weekends, holidays, and extended hours based on business needs. The listed base salary range is $75,000–$95,000 per year, with eligibility for an annual discretionary bonus.

Requirements

Bachelor’s degree in sports management, business analytics, or a related field, or equivalent work experience.
At least 5 years of experience working with large and diverse datasets.
At least 3 years of experience working in Tableau, or at least 4 years of experience in a similar program such as Power BI, Looker, or Qlik.
Experience managing or mentoring analysts within a business intelligence, reporting, or analytics environment.
Experience with advanced analytics, SQL, data modeling, and data warehousing concepts.
Experience with programmatic or open-source visualization tools such as R Shiny or Python Dash.
Ability to multitask and adapt to a changing environment.
Strong time management and interpersonal skills, a professional manner, a positive attitude, and eagerness to learn.

Nice To Haves

At least 1 year of leadership, project leadership, or mentoring experience.
Data visualization, business intelligence, or analytics certifications.
Experience supporting sales, marketing, customer engagement, or revenue-focused business functions.

Responsibilities

Manage day-to-day Business Intelligence workflow and prioritize tasks.
Execute more complicated projects.
Coach and manage a team of 3–4 analysts.
Lead and oversee the development, maintenance, and optimization of dashboards, scorecards, and data visualizations for business operations and executive decision-making.
Provide analysts with guidance on reporting standards, data validation practices, visualization design, and analytical methodologies.
Partner with sales, service, marketing, and leadership teams to identify business objectives, reporting gaps, data blind spots, and opportunities for operational improvement and revenue growth.
Collaborate with the Data Science team to define data requirements, troubleshoot data inconsistencies, and improve data pipelines supporting reporting environments.
Facilitate information-sharing sessions with business stakeholders to deepen understanding of operational processes and translate business needs into analytical solutions.