Director of Business Analytics - Charlotte Hornets (Charlotte, NC)
The Director of Business Analytics performs quantitative and strategic analyses in support of revenue generating departments of the Charlotte Hornets. You will provide data and reporting to inform decision-making on multiple subjects including, ticket pricing, revenue forecasting, surveying, profitability analyses, customer segmentation, and sponsorship measurement and valuation. You will lead a small team and be responsible for team members coaching and development, as well as, team deliverables.
Essential Duties and Responsibilities
Provide cross-functional decision support to partners within the organization offering analyses and simulations to better inform business decisions.
Collaborate with department leaders; including Sales, Sponsorship, and Marketing
Enrich our digital assets, develop big data analytics capabilities, and partner with all departments to add new value on our strategic initiatives, ultimately driving fans, revenue growth and return on investment
Lead Business Intelligence team by training and mentoring employees, communicating job expectations and appraising their performance
Develop requirements, outlines, budgets, and schedulers for projects.
Perform revenue forecasting and trend analysis on ticket sales
Utilize primary and secondary market ticket data to make ticket pricing recommendations
Track customer behavior to analyze fan segments and customer lifetime value
Perform sponsor surveys and analyze results
Analyze asset pricing for rate card
You will evaluate buying behavior trends across marketing channels to make recommendations for effectiveness of various marketing tactics and campaigns
Investigate email performance statistics and make recommendations
Integrate numerous sources of customer behavior data to segment and prioritize existing and prospective buyers to create scouting reports for the multiple departments
You will analyze product sales, track performance metrics and provide
Analyze customer engagement and behavior for UI design, and generate mobile ordering revenue reports for management
Required Skills, Experience, and Abilities
To perform the job successfully, you should demonstrate the following competencies
Bachelor’s degree from an accredited college or university.
Preferred Master’s degree in mathematics, statistics, or data sciences
Strong leadership, collaboration and technical skills
Minimum of two years of relevant work experience at a premier management consulting firm or brand
Possess a working knowledge of quantitative, business, financial, and modeling
Data warehouse environment experience
In depth experience with statistical software packages (R, Python, SQL, etc)
High-level of experience with business visualization programs (Tableau, Business Objects, Domo, etc)
Vast knowledge of Microsoft Excel and PowerPoint
Highly organized and detail focused with an ability to lead, track and complete deliverables in a timely manner
Demonstrate excellent verbal and strong communication as well as the ability to bridge the gap to communicate effectively with the business
Self-starter, intellectually curious
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
When you apply for this job online, you will be required to answer the following questions:
1. Are you on the highest skill levels in statistics? Being a wizard in Excel is one thing... but are you able to run regressions using a higher level program like R?
2. Are you able to give quality analysis in a fast-pace environment?
3. How do you handle giving quantitative advice where some variables may be unknown to you? How do you approach a problem that has never been answered before?
4. How do you translate your complex models to management who may or may not have a “stats” background?
5. When something is “wrong” with the data set, how do you demonstrate proficiency in quickly identifying and solving the issue?
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