Sr. Data Analyst

About Us

Founded in 1992 in Dover, NH, Planet Fitness is one of the largest and fastest-growing franchisors and operators of fitness centers in the United States by number of members and locations. We have over 2,600+ stores in 50 states, the District of Columbia, Puerto Rico, Canada, Panama, Mexico, Australia, and Spain. 90% of Planet Fitness stores are owned and operated by independent franchisees.

At Planet Fitness, our unique mission has always been to enhance people’s lives by providing a high-quality fitness experience in a welcoming, non-intimidating environment. And we’re proud of the amazing Planet Fitness team that supports our clubs and team members. They are comprised of dynamic, dedicated, and talented individuals who represent our values of integrity, transparency, passion, respect, and excellence (while having fun!) in everything they do.

Joining the PF family means being part of a company that cares about bettering the health and wellbeing of our communities. It means being a part of a supportive, engaging workforce with an inclusive culture that values diversity and creates an environment where everyone can feel they belong. It means encouraging professional growth and development. It means making true, lasting connections with your co-workers with celebrations, team building activities and engaging corporate events! It means creating a positive impact in our local communities through our Judgement Free Generation® philanthropic initiative. It means being part of a brand that you can be proud of!

For the past 30 years, we’ve helped millions of people in their fitness journey and revolutionized the industry along the way. And we’re just getting started!

Overview

The Sr. Data Analyst will be responsible for analyzing enterprise data to support, evaluate, and implement data solutions necessary for solving business challenges and identifying new business opportunities. This position will work closely with the business, data engineering and business intelligence engineering teams to research and analyze data sources, identify data quality issues requiring resolution, document data definitions, metrics, and KPIs, and support data governance activities. The Sr. Data Analyst will be a subject matter expert of enterprise data, understanding relationships between internal and 3rd party systems. This position will also partner with Business Analysts on source-to-target data mapping documentation and ensuring business, data, and technology requirements are appropriately aligned for the delivery of high-quality and accurate data solutions.

Responsibilities

• Perform in-depth data analysis across a diverse portfolio of business systems to identify trends, patterns, anomalies, and mitigate data quality issues
• Collaborate with data and business intelligence engineering teams to support data profiling activities and identify and validate source systems for data solutions, analytics, and reporting
• Collaborate with business analysts and various stakeholders to define data requirements for enterprise solutions
• Develop and contribute to enterprise process standards to continuously improve quality, while ensuring consistency, efficiency, and effectiveness
• Collaborate across multiple stakeholders to develop, plan, implement, and evaluate protocols and research related to data quality assurance
• Monitor enterprise data warehouse data quality and ensure completeness and accuracy
• Document data governance policies and procedures and maintain enterprise data dictionary
• Develop and deliver summarized qualitative findings of data issues using quantitative reporting to management for alignment on proposed recommended actions and remediation steps
• Collaborate and partner with and support a multi-disciplinary global team consisting of data analysts, data engineers, developers, and data consumers in an agile, fast-paced environment
• Work with business areas to determine and document detailed business needs
• Be a change agent, sharing the vision and encouraging others to embrace change
• Perform other duties as assigned

Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Data Analytics, Information Systems or a related field, required
• 8+ years of direct, related experience
• 5+ years of direct experience analyzing data leveraging SQL, Python, R, or SAS, and data visualization tools such as Excel, Tableau, Cognos, PowerBI, Domo, QlikView, etc.
• 5+ years of direct experience working with data engineering and business intelligence engineering teams
• In-depth knowledge of data analysis techniques, data management, dashboards, modeling, querying, and workflows
• Demonstrated history of translating data into clear and actionable narratives and communicating oppor