Business Intelligence Analyst III

Purpose Brands, LLC•Seattle, WA

1d•$163,322 - $168,322•Hybrid

About The Position

Purpose Brands, the parent company of Orangetheory, Anytime Fitness, Waxing the City, The Bar Method, and Basecamp Fitness, is seeking a Business Intelligence Analyst III to join its team. This is a great position for someone who is looking to expand their career, and join a company with a fun, fast-paced and inspirational culture. Purpose Brands, LLC is here to make personal health and wellness accessible for people worldwide. The company holds the world’s largest and most trusted portfolio of fitness, health and wellness franchise brands and services: Anytime Fitness, Orangetheory Fitness, Waxing the City, Basecamp Fitness/SUMHIIT Fitness, The Bar Method, Stronger U Nutrition, Healthy Contributions and Provision Security. Together, these brands generate USD$3.7 billion in revenue, operating across 50 countries on all seven continents with a combined 6 million members. With a world-class franchise operating model and suite of services that help its portfolio brands accelerate growth and deliver exceptional member experiences, Purpose Brands is best positioned for rapid expansion and to capture a strong market share in the global wellness industry. For more information, visit https://www.linkedin.com/company/purpose-brands-llc/posts/?feedView=all Enhance the health, prosperity, and overall well-being of franchisees, consumers, and employees through purpose-driven products and experiences. Empowering individuals and communities to live healthier, more vibrant lives. People, purpose, performance, play

Requirements

Position requires a Bachelor’s degree in Finance, Business Administration, Business Analytics, Data Analytics, or a related field of study or related field of study
Four (4) years of experience in the job offered or any related occupation in which the required experience was gained.
Position also requires demonstrated experience with the following: Developing probabilistic prediction models using advanced methodologies; Applied statistical analysis; Querying and manipulating data using SQL, including analytic functions; and Python, R, or other similar programming languages

Responsibilities

Identify different options to solve for requested features or analyses, and propose solutions considering trade-offs on cost, scalability, supportability, and usability.
Regularly weigh several factors beyond the analytics realm when recommending solutions or approaches.
Provide a deep understanding of implementation context and user perspectives to solve problems.
Utilize an understanding of analytical approaches to generate alternative ideas.
Conduct exploratory analysis needed to substantiate or frame analytics solutions for major business questions or product features. Includes the use of non-governed data.
Analyze business questions and communicate findings through briefs, presentations, reports or other media.
Clarify and document the questions, how findings may be used, and the analysis approach.
Develop complex deterministic models as well as probabilistic models, enabling the business to make decisions considering potential and likely outcomes.
Conduct impact analysis of business performance, identifying an appropriate approach to break down and explain performance based on internal and external contributing factors, trends and patterns.
Develop reports and dashboards for an entire problem space, such as website performance, lead conversion or studio portfolio analysis. These are product features that are supported and evolved over time as opposed to one- off analyses.
Develop end-user applications with low-code tools to surface actionable analytics insights, collect data or execute analytics-driven workflows/actions.
Work with data engineers to create new datasets, providing requirements and use cases, and jointly analyzing the suitability of source data.
Use a toolkit of analytical methods that includes basic statistical concepts, such as statistical significance, distributions, independent and dependent probabilities, confidence intervals etc. to answer business questions.
Convey to business stakeholders how to apply probabilistic answers to their business decisions.
Identify key assumptions around perceived or real business problems and validates them before proceeding with the analysis.
Make accurate inferences from data.
Suggest further analysis paths if answer is not sufficiently conclusive.
Participate in creating reporting and analytics standards, identifying, coaching, and teaching analysis methods.