Analyst, Business and Data Strategy

Los Angeles Football Club•Los Angeles, CA

5d•$75,000 - $85,000•Hybrid

About The Position

The Los Angeles Football Club (LAFC) is an MLS soccer club serving the greater Los Angeles area. LAFC is dedicated to building a world-class soccer club that represents the diversity of Los Angeles and is committed to delivering an unrivaled experience for fans. LAFC’s ownership group is comprised of local leaders and innovators of industry with intellectual capital, financial prowess, operations expertise, and success in the fields of entertainment, sports, technology, and media. LAFC is invested in the world’s game and Los Angeles, constructing, and developing the 22,000 seat BMO Stadium and a top-flight training center on the campus of Cal-State Los Angeles. POSITION SUMMARY The Analyst, Business & Data Strategy (BDS) is responsible for executing projects that impact the business operations of Los Angeles Football Club, BMO Stadium, and external consultancy engagements . This person will primarily focus on analyzing data across all club data sources, supporting the ingestion of new data sources, creating predictive models to aid in decision making, as well as support ticketing, marketing, and partnerships strategies. Thus, this is a highly collaborative position working with various departments such as ticketing, partnerships, stadium operations, finance, merchandise, marketing, and soccer operations. As a result, the ideal candidate will possess the ability to interact with key stakeholders and leverage strategic insights to develop creative solutions, and adherence to detail-oriented, data-driven processes. LAFC is currently operating on a hybrid work model with a minimum of 2 in-office days per week. Please note that this may vary by role, and your scheduled in-office days are up to the discretion of your supervisor.

Requirements

Bachelor’s degree in analytics, business administration, computer science, data science, economics, math, or related quantitative field preferred. Equivalent, relevant work experience may be considered in lieu of formal education if approved by management.
At least 2 years of experience working in analytics, business intelligence, data science, or related field preferred.
Previous experience with CRM software (Salesforce preferred).
Previous experience with coding languages (SQL, R, Python preferred).
Previous experience with data visualization tools (Sigma preferred).
Excellent communication skills – both verbal and written.
Strong sense of ownership and accountability as a self-starter.
Must be proactive, organized, and resourceful with great attention to detail.
Ability to multi-task, meet tight deadlines, and work effectively in a fast-paced setting.
Must possess a high level of discretion with the ability to handle highly sensitive and confidential information as needed.
Experience interacting with third party vendors.
Flexible schedule with the ability to work nights, weekends, and holidays as the event calendar requires.
Applicants for employment in the U.S. must possess work authorization, which does not require sponsorship by the employer for a visa.

Nice To Haves

Previous experience in the sports industry is preferred.
Knowledge of database architecture and cloud network architecture is preferred.
Knowledge of ticketing systems is a plus (Ticketmaster preferred).
Knowledge of partnership measurement process tracking multi-channel exposures and mentions is preferred.
Broadsign out of home inventory management experience a plus.
ETL experience a plus.
Knowledge of domestic and global professional soccer is a plus.

Responsibilities

Support the Business & Data Strategy team in setting up various reports for monitoring business performance, including the ingestion, processing, and transformation of large volumes of data from various sources.
Lead collaborative projects cross-departmentally for all stadium events and implement resulting recommendations.
Analyze sales, service, and CRM data to develop analytical models related to lead scoring, retention modeling, dynamic pricing, and seat allocation.
Collaborate with Ticket Operations team to transform modeling work into price code files.
Program digital and virtual inventory across Apple TV broadcasts, in-stadium, as well as out of home digital signage across the club’s Towers and BMO Stadium boards
Conduct robust statistical analysis of data using hypothesis testing, inferential statistics, predictive modeling, and more.
Design, develop, and maintain efficient data pipelines with external vendors, using tools such as Databricks, Amazon Web Services (AWS), and Google Cloud.
Manage partnership measurement data ingestion, cleaning, and tagging for year-round recap deliverables.
Manage partnership measurement surveying and data clean rooms processes.
Manage partnership food and beverage sales reporting.
Produce and deliver compelling presentations that visualize key observations and insights based on analysis of sales, survey and marketing data, etc.
Proactively identify opportunities to drive innovation, optimization, enhance customer experiences, and organizational financial performance.
Other duties as assigned by Supervisor/Management based on overall team workload and internal requirements from stakeholders.