Business Intelligence Analyst

Planet Fitness • Springfield Township, PA

4d • Onsite

About The Position

The Business Intelligence Analyst transforms data into meaningful, accurate, and actionable insights to support strategic decision-making, operational performance, and financial discipline across National Fitness Partners. The role designs and delivers scalable business intelligence solutions, including interactive dashboards, reporting tools, data models, and analytical frameworks. It partners with Finance, Operations, HR, Marketing, IT, and senior leadership to translate business questions into reliable data solutions, standardize KPIs, maintain data pipelines and reporting structures, validate data, and communicate insights to technical and non-technical audiences.

The position combines technical analytics expertise with business partnership. It involves dashboard and report development; data engineering, modeling, and integration; support for advanced analytics and AI-enabled tools; stakeholder collaboration; data governance and quality; and improvements to reporting and data workflows. This is a full-time, salaried, on-site role based in Philadelphia, Pennsylvania. Applicants must be authorized to work for any U.S. employer; visa sponsorship is not available.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Engineering, Finance, Business Analytics, or a related field; equivalent relevant experience may be considered.
• 3–7+ years of experience in business intelligence, data analytics, data engineering, or a related role supporting technical data solutions and business decision-making.
• Strong SQL skills, including data extraction, transformation, query optimization, and work with relational databases or data warehouses.
• Proficiency with Python for data preparation, automation, analysis, and pipeline support.
• Hands-on experience building or supporting ETL/ELT pipelines, data models, semantic layers, and scalable reporting datasets using cloud-based or modern data platforms, specifically Databricks and Snowflake.
• Experience with business intelligence and visualization tools such as Sigma, Power BI, Tableau, or similar platforms, including dashboard development and KPI reporting.
• Demonstrated experience using AI/LLM tools to materially improve analytics workflows, automation, or efficiencies, with specific examples of what was built, used, or automated.
• Ability to translate business questions into analytical requirements and communicate insights clearly to technical and non-technical stakeholders.
• Applicants must be authorized to work for any employer in the United States; the company is unable to sponsor or take over sponsorship of an employment visa.

Nice To Haves

• Experience with PySpark or distributed data processing.
• Experience with Azure Synapse Analytics or related Azure data services, including pipelines, notebooks, linked services, and integration components.
• Certification in data engineering, cloud platforms, business intelligence, analytics, or AI-enabled analytics.
• Experience in a multi-site or operations-driven environment such as retail, fitness, healthcare, hospitality, or QSR.

Responsibilities

• Design, build, and maintain interactive dashboards, visualizations, and self-service reporting tools using Sigma, Power BI, or similar platforms.
• Translate data from accounting, financial systems, operations, HR, marketing, and other business areas into clear, accurate reporting.
• Develop recurring and ad hoc reports communicating KPIs, trends, variance analysis, performance drivers, and business implications.
• Design, build, and maintain scalable ETL/ELT pipelines using SQL, Python, PySpark, cloud orchestration tools, APIs, databases, flat files, and third-party platforms.
• Build and maintain data models, schemas, semantic layers, and warehouse structures, including dimensional models.
• Write and optimize complex SQL queries and improve data workflow, storage, retrieval, processing performance, and reliability.
• Support forecasting, segmentation, optimization, experimentation, and data science initiatives with reliable datasets and scalable data assets.
• Evaluate and apply AI-enabled analytics tools, including generative AI and large language models, to improve reporting automation, data exploration, insight generation, and productivity.
• Use AI and LLM-enabled tools responsibly in accordance with data privacy, security, governance, validation, and documentation standards.
• Partner with business leaders and stakeholders to understand needs, define reporting requirements, and align data initiatives with organizational priorities.
• Define and standardize KPIs; support budgeting, forecasting, and financial performance analysis; and identify opportunities for cost optimization, revenue growth, and operational efficiency.
• Ensure data integrity, consistency, security, and compliance through validation checks, access controls, monitoring, documentation, and governance standards.
• Perform data validation, cleansing, reconciliation, and root-cause analysis to resolve discrepancies, reporting issues, and process gaps.
• Automate manual reporting, improve data workflows, document business logic and reporting standards, and stay current with BI, analytics, AI, and data engineering technologies.

Benefits

• Growth opportunities.
• Paid time off for all employees.
• 401(k) retirement fund with employer match up to 4%.
• Health insurance options, including health, dental, vision, and family life insurance.
• Company-paid basic life insurance and short-term disability.
• Employee Assistance Program.
• Free employee Black Card Membership.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level