Analyst, Fan Insights (12-Month Contract)
Analyst, Fan Insights (12-Month Contract)
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
We are seeking a research-savvy analytically minded Analyst to join our Business Analytics team for a 12 month Contract. This role is ideal for someone who is passionate about understanding fans uncovering insights from data and supporting business decision-making across marketing ticketing and venue operations.
As an Analyst you will help design and execute research initiatives perform analysis using Python or R and work closely with internal partners and external vendors. You will bring curiosity storytelling and technical rigor to every project from building fan personas to supporting marketing campaign strategy to developing predictive models with the Data Science team.
Key Responsibilities
- Support the design and execution of primary research studies (e.g. surveys interviews focus groups) from end to end including methodology design instrument development and vendor coordination.
- Analyze qualitative and quantitative data to generate meaningful fan insights.
- Build or refine personas fan journeys and audience segmentation frameworks using research and behavioral data.
- Prepare engaging presentations that communicate insights to stakeholders in Marketing Sales and Digital Labs.
- Analyze structured and unstructured data using Python or R including forecasting regression and clustering techniques.
- Write SQL queries to retrieve data from fan ticketing and marketing databases.
- Contribute to PowerBI or Databricks dashboards models and tools in collaboration with Business Intelligence and Data Science colleagues.
- Explore opportunities to scale insights by applying statistical techniques to enhance targeting campaign effectiveness and fan engagement strategies.
- Work closely with Marketing Partnerships Ticketing Digital Labs and external research vendors to meet shared business objectives.
- Act as a collaborative partner in brainstorming sessions campaign planning and brand strategy development.
- Translate findings into clear concise narratives tailored for non-technical audiences.
Qualifications :
Note: Before reviewing the qualifications listed below we want you to know that we understand you may not meet all the qualifications described and have other relevant expertise and experience. We invite you to please share this with us in the Message to the Hiring Manager section of our online application.
- 24 years of experience in market research marketing analytics business analytics or related fields (agency consulting or in-house).
- Hands-on experience with primary research design and execution (quantitative and qualitative).
- Demonstrated ability to analyze data using Python or R (must be comfortable working outside Excel).
- Working knowledge of SQL for data querying and manipulation.
- Familiarity with techniques like forecasting segmentation or significance testing.
- Strong communication and presentation skills.
- Experience working in or with sports entertainment or consumer brands is a plus.
Additional Information :
Please apply no later than Aug 6 2025
We thank all applicants for their interest however only those selected for the information session will be contacted.
At MLSE we are committed to building an equitable diverse and inclusive organization. We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex gender gender expression sexual orientation age marital status veteran status or disability status. MLSE will provide reasonable accommodation for qualified individuals with disabilities in the job application process. If you have difficulty using our online application system and you need an accommodation due to a disability please note this email is only for accommodation requests. Resumes sent to this email address will not be considered.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
