Senior Business Analyst - Charlotte Hornets (Charlotte, NC)
The Senior Business Analyst performs quantitative and strategic analyses in support of revenue generating departments of the Charlotte Hornets. You will provide data analysis and reporting to inform decision-making on multiple subjects including; ticket pricing, revenue forecasting, surveying, profitability analyses, customer segmentation, and sales lead scoring.
To perform the job successfully, you should demonstrate the following competencies
Bachelor and Master's degree in mathematics, computer science, statistics, or data sciences from an accredited college or university
2+ years of expertise with statistical software packages in a data science environment (R, Python, SQL, etc) - we are looking for more than just advanced Excel skills
Expertise in analyzing data and building predictive models inside a statistical computing environment (e.g., R, SPSS, Matlab, Octave)
Proficiency in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models (CART, MART, CHAID), cluster analysis, principal components, validation, and feature creation.
Experience working with big data and supervised and unsupervised machine learning
High-level of experience with business visualization programs (Tableau, Business Objects, Domo, etc)
You will locate new data sources, analyze statistics, and implement quality procedures
Discover "stories" told by the data and present them to both internal and external business partners
Provide cross-functional decision support to partners within the organization offering analyses and simulations to better inform business decisions.
You will collaborate with department leaders across the organization; including Sales, Sponsorship, Marketing, and Database Marketing
You will enrich our digital assets, build big data analytics capabilities, and partner with all departments to add new value to our strategic initiatives, ultimately driving fans, revenue growth and return on investment
Develop requirements, outlines, budgets, and schedulers for projects.
You will perform revenue forecasting and trend analysis on ticket sales
Utilize primary and secondary market ticket data to make ticket pricing recommendations
Evaluate customer demand for products and their price elasticity
Track customer behavior to analyze fan segments and customer lifetime value
You will evaluate buying behavior trends across marketing channels to make recommendations for effectiveness of various marketing tactics and campaigns
Make digital marketing recommendations based on investigation of email performance statistics
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 updated dashboards for all levels of management
Analyze customer engagement and behavior for UI design, and generate mobile ordering revenue reports for management
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. Please describe your “go-to” statistical software programs you like to use and your level of expertise.
2. Please describe your experience your work building “unsupervised machine learning” algorithms.
3. Please describe your experience building pricing models.
4. Please describe your experience working in R.
5. Please describe your experience working with large data sets and transforming the data into a workable format.
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