Sr. Data Analyst

Planet Fitness • Boston, MA

4h • Hybrid

About The Position

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. The Sr. Data Analyst 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 on enterprise data, understanding relationships between internal and 3rd party systems. The Sr. Data Analyst 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.
This role is expected to work our hybrid schedule out of the Hampton, NH office or future Boston, MA office.

Requirements

• 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 opportunities and challenges relevant to stakeholders
• Strong attention to detail and demonstrated ability to work with large amounts of data, extract relevant information, identify patterns, and draw accurate conclusions
• Experience presenting data interpretation and insights to non-technical audiences
• Possess the ability to present analytical data and strategic ideas in a clear, concise manner
• Adaptable with a focus on “Discipline of Execution” to ensure quality of deliverables, adherence to standards, and continuous improvement of people, process, and tools
• Sharp critical thinking and troubleshooting skills
• Ability to work cross-functionally with multiple stakeholders – understanding and synthesizing needs, prioritizing work, seeking feedback, and communicating progress
• Extremely detail-oriented, efficient, and organized with an exceptional ability to establish priorities and objectives
• Excellent presentation and communication skills along with the ability to communicate effectively across all levels of the organization
• Able to establish and maintain effective, collaborative work relationships with diverse individuals, internally and externally
• Creative, progressive, thought leadership with the ability to influence at all levels of the organization
• Dedicated learner with a natural curiosity for consistent growth
• Exhibits comfort, ease, and flexibility working in an extremely fast-paced ever-changing, deadline-driven environment
• Cooperative team player with an upbeat, positive, “can-do” attitude!

Nice To Haves

• Experience working in a retail business, desired
• Experience working in franchised businesses, desired

Responsibilities

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

Benefits

• Planet Fitness cares about you and your well-being. We offer a comprehensive benefits package to eligible employees which includes the core medical, dental, vision, life and disability as well as supplemental accident, hospital and critical illness coverage options.
• In addition, we are proud to offer eligible employees a generous time off program (including volunteer time), childcare reimbursement, paid parental leave, pet care reimbursement, tuition reimbursement, free Black Card membership, learning and development programs and a whole host of engagement activities.
• We offer a 401(k) Plan with safe harbor employer matching and an employee stock purchase plan.
• This role is also eligible to participate in an annual corporate bonus incentive program based on company financial and personal performance.

What This Job Offers

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