Data Analyst - MLS

Denver Summit FC; Denver (CO); Hybrid; USD 60,000 - 80,000; Full time

Benefits offered by this job

Health Insurance (Medical, Dental, Vision)

401(k) match

15 Paid Company Holidays

Paid Time Off (PTO)

Dog-friendly headquarters

Employee ticket opportunities

Job summary

Denver Summit FC is looking for a Data Analyst to enhance data-driven decision-making within the organization. The role entails working in the Business Intelligence department, focusing on ticket sales and operational support.

Ideal candidates should possess analytical skills, strong proficiency in Excel, and familiarity with SQL and BI tools. This position comes with a competitive salary range of $60,000 - $80,000 per annum, plus additional benefits.

Qualifications

• Entry-level or first-year analyst with a desire to grow in sports business analytics.
• Strong Excel skills are required, with a working knowledge of SQL preferred.
• Experience in analytics or related area, up to 3 years.

Responsibilities

• Build and maintain dashboards for ticket sales and service analytics.
• Support sales and service reporting and data validation.
• Collaborate with departments to deliver insights and analytics.

Skills

Excel

SQL

Business Intelligence Tools

Data Analysis

Education

Bachelor's degree in a related field

Tools

Tableau

Power BI

Salesforce

Job description

Job Details

• Job Title: Data Analyst
• Department: Business Intelligence
• Reports to: Director of Business Intelligence
• Work Location: Denver, CO
• Work Arrangement: Hybrid: In-Office Four Days, Work From Home One Day
• Employee Type: Full-time
• Pay Type: Salaried
• FLSA: Exempt
• Supervisor Position: No
• Application Deadline: July 7, 2026 at 9:59pm

Nature of Work

Denver Summit FC is seeking a Data Analyst to support data-driven decision-making across the club, with a primary focus on Ticket Sales and Service. This role will sit within the Business Intelligence department and serve as a connective layer between business strategy, reporting, CRM and ticketing systems, and operational support.

The ideal candidate is an entry-level or first-year analyst who is curious, detail-oriented, and eager to build a career in sports business analytics. This person should be comfortable working across data analysis, systems support, and light data engineering while translating business questions into clear reporting, insights, and process improvements.

Examples of Work Performed

• Ticket Sales and Service Analytics: Build, maintain, and improve dashboards and recurring reports for ticket sales, service, retention, pipeline activity, revenue pacing, inventory, and campaign performance.
• Analyze season ticket, group, premium, single-match, and other ticketing data to identify trends, opportunities, and areas of risk.
• Support sales and service leadership with daily, weekly, and matchday reporting.
• Ideate with Ticket leadership on distribution lists, customer segments, and campaign audiences using CRM, ticketing, and marketing data.
• Partner with Ticket Sales and Service staff to improve CRM adoption, data hygiene, and reporting accuracy.
• Assist with analysis for season ticket member events, prospect events, group outings, sales campaigns, and matchday initiatives.

Ticketing Operations Technical Support

• Provide technical support for ticketing operations workflows, including event builds, ticket manifests, pricing tables, package setup, inventory tracking, account updates, and matchday reporting.
• Support data validation between ticketing platforms, CRM, payment systems, email tools, and internal reporting environments.
• Troubleshoot ticketing data issues, including duplicate accounts, missing transactions, incorrect customer attributes, broken reports, and integration gaps.
• Assist with matchday setup and support related to ticket scanning, attendance reporting, mobile ticketing, access control data, and post‑match reporting.
• Create and maintain documentation for recurring ticketing operations processes, data definitions, and reporting standards.
• Work with internal stakeholders and external vendors to resolve system issues and improve operational efficiency.

Data Analytics and Data Science

• Collaborate with Ticket Sales, Marketing, Partnerships, and Matchday Operations to deliver data‑driven insights and technical solutions that support departmental objectives.
• Conduct descriptive analysis, cohort analysis, segmentation, forecasting, and trend analysis to support revenue growth and fan engagement.
• Translate business questions into practical analytical approaches and clear recommendations.
• Use SQL, Excel, and BI tools to query, clean, summarize, and visualize data.
• Support predictive or statistical projects as the club’s data maturity grows, including renewal likelihood, lead scoring, attendance forecasting, and campaign performance modeling.
• Communicate findings clearly to both technical and non‑technical audiences.

Systems and CRM Support

• Serve as a key support resource for CRM and ticketing system data quality, reporting, user workflows, and business process improvement.
• Help manage CRM fields, lists, campaigns, dashboards, reports, user adoption, and documentation.
• Support cross‑platform consistency between CRM, ticketing, marketing automation, sponsorship, and business intelligence tools.
• Identify opportunities to automate manual reports, streamline processes, and improve system reliability.
• Train and support business users on reporting tools, dashboards, CRM standards, and data entry best practices.

Working Conditions & Physical Demands

• One work from home day per week.
• Ability to work evenings, weekends, holidays, and extended hours as needed for matches, events, and key business moments.
• May assist with event or matchday setup as needed.
• Ability to lift up to 50 lbs. may be required for event support.

Qualifications

• Bachelor’s degree in Math, Statistics, Computer Science, Data Science, Economics, Information Systems, or a related field, or equivalent experience.
• ≤ 3 years of experience in analytics, business intelligence, CRM, ticketing, revenue operations, or a related area.
• Strong Excel skills required.
• Working knowledge of SQL is preferred.
• Experience with Tableau, Power BI, Salesforce reporting, or similar BI/CRM tools preferred.
• Familiarity with ticketing systems, CRM platforms, sports business, live events, or revenue operations preferred.
• Basic understanding of relational databases, data quality, reporting workflows, and data visualization best practices.

Competencies / Knowledge, Skills & Abilities

• Curious, proactive, coachable, and comfortable learning new tools and systems.
• Ability to maintain a positive attitude and demonstrate professionalism.
• Ability to maintain a high level of confidentiality.
• Ability to complete work accurately and in a timely manner.
• Ability to work independently & in a group setting and demonstrate good judgment skills.
• Strong written and verbal communication skills.
• Possesses excellent interpersonal skills.
• Ability to multi‑task, prioritize and adapt to changing environments.
• Strong attention to detail and ability to manage multiple priorities in a fast‑paced environment.

Compensation

Base salary range $60,000 - $80,000 per annum

• Eligible for annual discretionary bonus

Benefits Include

• 15 Paid Company Holidays
• Health Insurance (Medical, Dental, Vision)
• Paid Time Off (PTO)
• Life and AD&D Insurance
• 401(k) match
• Dog‑friendly headquarters
• Employee ticket opportunities

Equal Employment Opportunity

Denver Summit FC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.