Business Intelligence Analyst III at Orangetheory
Orangetheory · Boca Raton, United States Of America · Hybrid
- Professional
- Office in Boca Raton
As part of the Business Intelligence team, this data professional will partner with business leaders across the organization to surface key metrics and unlock vital insights that drive data-informed decisions and guide business strategy. This is an individual capable of leveraging database technologies, mathematical savvy, and analytical tools to turn data into answers and insights.
Product & Initiative Leadership
Identify different options to solve for requested features or analyses and propose solutions considering trade-offs on cost, scalability, supportability, and usability.
Performance Expectations
Regularly weighs several factors beyond the analytics realm when recommending solutions or approaches. Deeply understands the implementation context and user perspective.
Has a sufficiently large toolkit of prior experience and understanding of analytical approaches to generate alternative ideas.
Reporting & Analytics
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.
Performance Expectations
Uses a toolkit of analytical methods that includes (when appropriate!) basic statistical concepts, such as statistical significance, distributions, independent and dependent probabilities, confidence intervals etc. to answer business questions.
Conveys to business stakeholders how to apply probabilistic answers to their business decisions.
Able to ask questions to fully understand the context and business question asked and how answering it will make a difference.
Identifies key assumptions around perceived or real business problems and validates them before proceeding with the analysis.
Makes accurate inferences from data. Knows what the data says and what it doesn’t say and is transparent about shortcomings of the data. Suggests further analysis paths if answer is not sufficiently conclusive.
Shows interest and can speak the language of the business domain they are supporting (e.g., marketing, finance, operations). When presenting findings business stakeholders follow.
Is recognized by business stakeholders as their analytics partner whom they can rely on for developing data-informed insights.
Participates in creating reporting and analytics standards, identifying, coaching, and teaching analysis methods. Is sought out by other analysts for advice.
Knows the principles of dataset design and independently works with data engineers to ensure the datasets from domain data to published datasets will meet all current or planned use cases.
REQUIRED QUALIFICATION/EXPERIENCE
Bachelor’s degree 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 a plus.
4 - 6 years of experience in reporting and analysis. Can demonstrate how to effectively communicate findings to stakeholders outside of the field of analytics.
Work examples of developing probabilistic prediction models or analyzing complex questions using advanced methodologies.
Applied statistical analysis and can explain how and why it was used to further the insights gained.
Intermediate-level proficiency in querying and manipulating data using SQL, including analytic functions. On the job experience with Python, R or similar languages.
SKILLS & ABILITIES
Able to explain several common biases that affect what questions are asked, which data is looked at and how results are interpreted.
Able to contrast meaningful and poor metrics or KPI’s.
Well organized. Thinks about how to do the work, then acts. Seeks to contextualize the work.
Good interpersonal skills, seeks to understand others’ viewpoints, motivations, ways of thinking.
Respectfully challenges others’ approach or viewpoints when making inferences from data that are not logically or methodologically sound.
Shows curiosity about the industry and can explain how Orangetheory is differentiated.
Can articulate Orangetheory’s goals and strategic imperatives.
What’s in it for you?
We offer a competitive salary along with exceptional benefits such as:
Medical, Dental and Vision Coverage
Hybrid Work Environment
Life and Disability Insurance
Unlimited Time off + Paid Holidays
Fridays off between Memorial Day and Labor Day
401(K) Savings Plan Matching at 4%
10 Coaching and Therapy sessions
Mental Health Benefits
Brand Discounts & Reimbursements
In-house workout facilities
Professional Development Opportunities
Team Building, Employee Engagement Activities & so much more
WORK SCHEDULE
Purpose Brands LLC, currently observe the following hybrid work model for employees at our Boca Raton (FL), Woodbury (MN), and Seattle (WA) offices:
Remote optional: Wednesdays and Fridays
On-site days: Mondays, Tuesdays, and Thursdays
DIVERSITY, EQUITY, AND INCLUSION STATEMENT
Purpose Brands is committed to encouraging, facilitating, and upholding an environment centered on diversity, equity, and inclusion across every facet of the Purpose Brands. We will work to create a sustainable culture that supports a healthy space for learning and growing, valuing, and empowering every employee, inspiring a diverse franchise network, and uplifting the members and communities we serve.
EEO STATEMENT
Purpose Brands provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Discrimination of any type will not be tolerated.
