Business Intelligence Analyst

About the Role

National Fitness Partners is hiring a full-time salaried Business Intelligence Analyst based in Camp Hill, PA. The company is the largest Planet Fitness franchise and supports more than one million members across 200+ clubs nationwide with an inclusive, judgement-free fitness experience.

This role is designed for someone who can turn data into practical insights that improve strategy, operations, and financial discipline. You will create and maintain BI solutions such as dashboards, reports, data models, and analytical frameworks that help leaders understand performance, spot trends, and make better decisions.

Culture

• Accountable: take ownership, work independently, and aim for high standards.
• Driven: approach problems with focus and deliver strong results.
• Passionate: bring positive energy and a genuine desire to help others.
• Ambitious: keep learning and growing toward success.

The organization values people who want their work to have a meaningful impact and are excited to grow their careers while helping others.

Benefits

• Strong growth potential, with more than 90% of the management team having started in entry-level roles.
• PTO available to all employees.
• 401(k) retirement plan with employer match of up to 4%.
• Health coverage options including medical, dental, vision, family life insurance, and more.
• Basic life insurance and short-term disability fully covered by the company.
• Employee Assistance Program.
• Complimentary Black Card membership for employees.

Job Summary

The Business Intelligence Analyst will act as both a technical analytics specialist and a cross-functional business partner. You will work with Finance, Operations, HR, Marketing, IT, and senior leaders to convert complex business questions into dependable data solutions. The role requires strong skills in SQL, Python, BI platforms, and cloud-based data tools, along with good judgment, curiosity, and the ability to explain insights clearly to technical and non-technical audiences.

Responsibilities

• Design, build, and support interactive dashboards, visualizations, and self-service reporting tools using Sigma, Power BI, or comparable platforms.
• Turn data from accounting, finance, operations, HR, marketing, and other business systems into clear and actionable reporting outputs.
• Create recurring and ad hoc reports covering KPIs, trends, variance analysis, performance drivers, and business impact.
• Develop and maintain scalable ETL/ELT pipelines using SQL, Python, PySpark, cloud orchestration tools, APIs, databases, flat files, and third-party systems.
• Build and maintain data models, schemas, semantic layers, and warehouse structures, including dimensional models, to support consistent analytics.
• Write efficient complex SQL, improve data workflows, and enhance storage, retrieval, processing speed, and reliability in reporting environments.
• Support forecasting, segmentation, optimization, experimentation, and data science work by preparing trusted datasets and reusable data assets.
• Assess and use AI-enabled analytics tools, including generative AI and large language models, to improve automation, exploration, insight generation, and productivity.
• Use AI and LLM tools in line with privacy, security, governance, validation, and documentation expectations.
• Work with stakeholders across finance, operations, HR, marketing, IT, analytics, and leadership to define needs and align data work with business priorities.
• Define and standardize KPIs, assist with budgeting and forecasting analysis, and identify opportunities to lower costs, grow revenue, and improve efficiency.
• Protect data quality, consistency, security, and compliance through validation checks, access controls, monitoring, documentation, and governance practices.
• Validate, clean, reconcile, and investigate data to resolve discrepancies, reporting problems, and process gaps.
• Automate manual reporting, improve data processes, document business logic and reporting standards, and keep current with BI, analytics, AI, and data engineering trends.

Additional Information

This is a full-time salaried position. The posting does not list any stipend or salary figure. No specific application deadline, start date, duration, or vacancy count was provided.