Senior Manager of Analytics

Senior Manager Of Analytics

Purpose Brands, the parent company of some of the world's largest fitness franchises including Orangetheory, Anytime Fitness, Waxing the City, The Bar Method (& more!), is seeking a Senior Manager of Analytics to join its team. If you are looking to marry your passion for making data-informed decisions with helping people to live longer, healthier lives, here's your opportunity! As Purpose Brands we are looking to identify, test and deploy best-in-class member acquisition strategies and tactics that scale and bring more members to our brands in a cost-effective way. In your role on the Analytics team, you will lead a team of talented analysts in the quest of developing the analytic frameworks, self-service tooling, decision models, and data-driven insights to support these efforts.

You will do great on our Analytics team if you are business savvy, think critically, and understand relevant technologies, analytical methods, and statistical concepts. You will lead one of our Analytics Centers of Excellence, i.e. for Member Acquisition, and are equally comfortable working on large scale initiatives with business leaders as well as product management and technology experts. You are skilled at managing and coaching analysts on how to best contribute to analytical solutions. You think long-term, putting today's decisions into context of how the analytics must evolve to support the company's goals.

Purpose & Impact (Duties & Essential Functions)

COE / Initiatives Leadership:

• Develop charter for Analytics Center of Excellence (COE). Charters include purpose, goals, scope, and measures of success. Assess and communicate business value and work with Analytics leader to obtain support from senior leaders.
• Propose analytics initiatives to senior leadership and evaluate initiative requests made by stakeholders. Explain how they will affect company strategies and improve decisions.
• Clarify and develop roadmaps for analytics deliverables, soliciting input from stakeholders, including executives. Develop staffing plan and partner with project manager to set up projects for success.
• Work with Engineering teams to develop technical solutions to support Analytics initiatives.
• Be the thought partner for Product teams in developing prospect, member or franchisee-facing solutions that leverage data and analytic frameworks.
• Lead one or more initiatives from discovery and exploratory analysis to delivering insights, reports, dashboards, models, or other ways of making data-driven insights actionable. Break down work into deliverables needed from analysts, engineers, and stakeholders.

Performance Expectations:

• Seeks to understand the business context for analytics projects and clarifies the why behind requests for solutions, product features or analyses.
• Puts requests and projects into the context of the roadmap and COE vision and develops solutions accordingly. Communicates business and roadmap context to the product team to ensure every team member can make good decisions with the business objectives in mind.
• Applies product management practices to elicit requirements and develop solutions. Can reframe problems in a more long-term context and ideate scalable solutions.
• Stakeholders rely not just on execution, but solution ideas. Reviews product ideas and solutions with Analytics leader to ensure tie-in with larger Analytics roadmap.
• As needed, works across Technology and Operations to build solutions that are technologically sound, scalable, and supported.

Analytics:

• Identify opportunities and work with data scientists to build predictive models that guide decision making. Socialize models with stakeholders.
• Elicit, listen to, and translate business questions into analytics projects. Help stakeholders see the opportunities of using new or existing data assets to inform their decisions.
• Take on challenging analyses with significant business impact that require expert level skills at framing the analysis question, identifying the best analytical approach given available or obtainable data, and interpreting and communicating results.
• Identify strategic data assets to be built and develops a framework for how these data assets can answer broad sets of questions or support common analysis patterns. Collaborate with Engineering to develop the data assets and structures.
• Build a strategy, process and practices to ensure data and analytics integrity.

Performance Expectations:

• Anticipates questions stakeholders will ask and identify the data assets to be built now to answer those questions at the scale needed.
• Leads or contributes thought leadership to own and other COE's, such as data governance and reporting.
• Ensures insights and recommendations developed by team hold up under business scrutiny and use sound analytic reasoning and methodologies.
• Is recognized by domain-level business stakeholders as their analytics partner who helps them run and evolve the business.
• Provides context to Engineering and other Tech partners to help them make good decisions when deciding how to structure, evolve and bring data assets online for Analytics.
• Ensures Business Intelligence Analysts have a thorough knowledge of relevant data domains, metrics etc. and understand the quality and reliability of the source data.

Recruiting & Team Development:

• Collaborate with other leaders on the team to recruit talent to the Analytics team. This includes promoting Analytics positions, providing ideas to streamline or improve the hiring process, screening and interviewing candidates, and making hiring decisions.
• Coach team members to develop business understanding, problem framing, analysis, teamwork, and communication skills to perform at the next level.
• Ensure every direct report has a current development plan and provide formal feedback at least once per quarter.
• Ensure Business Intelligence Analysts at junior and senior levels operate effectively within the organization (Analytics, Technology and working with business stakeholders).
• Manage one or more Business Intelligence Analysts and ensure they contribute effectively to products and projects based on their skills.

Performance Expectations:

• Assesses how well direct reports meet the requirements of their jobs and provide examples. Fosters growth across the team through assisting direct reports in setting meaningful goals aligned with strategic business objectives.
• Regularly reviews performance, ensuring work is performed with care, timely and within expectations.
• Models Purpose Brands values. Leadership qualities are noticed by peers and others.
• Direct reports know what is expected of them and they understand how their work contributes to the success of the business. Direct reports receive actionable feedback.
• Direct reports feel they know how to get their work done and that they have the necessary tools, training, and access to be successful.
• Direct reports feel challenged on their jobs and that they are learning better or new ways to go about their work.

Qualifications & Experience

• 5-8 years of experience in reporting and analytics, demonstrating how to influence stakeholders to consider data in their decision-making practices.
• 2+ years of management experience, directly managing an Analytics team.
• BS/BA in computer science, statistics, mathematics, business administration, economics, or related field with a focus on logic and quantitative analysis. MBA or experience in or with specific business functions is highly desired.
• Intermediate SQL proficiency and ability to explain how other languages may be suitable to solve certain types of problems in the analytics realm better than SQL. (Ex: R or Python, when applicable)
• Familiar with MMM and MTA approaches, able to explain how they work and what their strengths and weaknesses are, using examples from previous work experiences.
• Has developed a philosophy around A/B testing, rooted in past work experience, that addresses how to identify worthy test opportunities, how to define the parameters of the test and how to ensure that observed results are durable.
• Has created frameworks for evaluating the combined digital and non-digital acquisition funnel. Has experience with evaluating the effectiveness of acquisition tactics from promotions to referrals to trial offers.
• Experience developing reporting and dashboards for supporting an entire business domain (e.g., Marketing, Sales, Finance etc.). Can explain how dashboards and reporting were used to run the business on a day-to-day basis.
• Familiar with descriptive statistics concepts, sampling, simple probabilistic modeling, statistical tests, optimization methods and their application. Ability to explain how and when to apply them is more important than memorizing formulas or mathematical details.

Salary Range: $160,000-$190,000 Annually

Skills & Abilities

• Can explain their method or approach of getting things done with a team of people. Management style is compatible with Purpose Brand's core values and management ideals.
• Has developed a perspective on how to promote diversity, equity and inclusion.
• Can motivate others to bring their best selves to work.
• Comfortable with managing team members who may have stronger technical skills than oneself.
• Ability to communicate at different levels in the organization. Pays attention to the audience, goals of meetings, and topics to