Business Intelligence Analyst II

Purpose Brands, LLC•Woodbury, MN

9d•$90,000 - $115,000•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 II, 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. As part of our Analytics team, this data and analytics professional analyzes business questions, assesses the impact of business initiatives. They think critically, are mathematically savvy, know how to query data, and apply analytical methods to derive insights. They work with our data engineers to augment datasets to enable dashboarding, reports, and operationalizing insights. They partner with business stakeholders to help them make use of analysis results and deploy data-informed decision-making processes. Purpose/Impact: (Duties & Essential Functions) Reporting & Analytics 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. Conduct impact analyses, leading to a deeper understanding of business performance, the member experience and fitness results. Guidance on approach provided by senior analyst or BI Manager. Develop simple deterministic models that project outcomes based on observed relationships, e.g., break-even projections, simple systems models. 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 internal and external documentation and training on Analytics products, such as dashboards, reports, KPI's, source data collection and transformation, data lineage and suggested use cases. 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 augment existing datasets with metrics and categorizations that make it easier to answer common business and analysis questions and publish appropriate reports. Build the company knowledge base of data-informed insights, documenting findings and promoting and communicating those findings through appropriate internal channels.

Requirements

BS/BA in computer science, statistics, mathematics, business administration, economics, or related field with a focus on logic and quantitative analysis.
3-5 years of experience in reporting and analysis.
Proficiency in querying and manipulating data using SQL.
Know how to use subqueries, window and analytic functions, regular expressions.
Basic understanding of statistics (sampling, statistical significance).
Well organized.
Thinks about how to do the work, then acts.
Seeks to contextualize the work.
Demonstrates understanding of which analytic methods to use to answer certain types of questions.
Good interpersonal skills, seeks to understand others’ viewpoints, motivations, ways of thinking.
Communicates clearly and knows best practices for presentations.
Shows curiosity about the industry and can explain how our brands are differentiated.

Nice To Haves

Experience with implementing, maintaining or developing reporting in Power BI, Tableau or comparable platforms is a plus.
Experience with Python, R or similar languages.

Responsibilities

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.
Conduct impact analyses, leading to a deeper understanding of business performance, the member experience and fitness results.
Develop simple deterministic models that project outcomes based on observed relationships, e.g., break-even projections, simple systems models.
Develop reports and dashboards for an entire problem space, such as website performance, lead conversion or studio portfolio analysis.
Develop internal and external documentation and training on Analytics products, such as dashboards, reports, KPI's, source data collection and transformation, data lineage and suggested use cases.
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 augment existing datasets with metrics and categorizations that make it easier to answer common business and analysis questions and publish appropriate reports.
Build the company knowledge base of data-informed insights, documenting findings and promoting and communicating those findings through appropriate internal channels.