Company OverviewSleep Number is a sleep wellness technology leader. For nearly four decades, we have placed sleep at the center of wellbeing, improving over 15 million lives with our Sleep Number smart beds. We are guided by our purpose – to improve the health and wellbeing of society through higher quality sleep. This is exemplified through our 4,000+ mission-driven team members who passionately innovate to drive value creation through our vertically integrated business model, owning the process from start to finish, including selling in our over 650 stores nationwide.
Our team members are encouraged to bring their whole selves to work, sharing their unique perspectives, backgrounds and skills with Sleep Number every day. Whether you are entering, returning or experienced in the workforce, we have a place for you. We hope you join us in creating the future through higher quality sleep
Position PurposeThe Sr. Analyst of Promotions and Pricing will analyze large datasets to uncover trends, partnering with data science teams to leverage advanced statistical models for estimating price elasticity, collaborating with team to integrate insights into business strategies, and ensuring the accuracy of elasticity models through data validation. Additionally, this role will support promotional analytics using available analytical tools, communicate findings and recommendations to all stakeholders effectively, and interpret analytics outputs for actionable insights.
Primary Responsibilities
Analyzing and interpreting large datasets to identify trends and patterns related to promotional effectiveness and elasticity of demand.
Leverage advanced statistical models to estimate price elasticity and other key metrics and provide input to data science teams evolve capabilities and improve model predictability.
Partner with data science team to evolve modeling based on business needs and provide data validation and quality assurance support to ensure the accuracy and reliability of promotional elasticity models.
Collaborate with cross functional teams to integrate promotion analytics & elasticity insights into business strategies and decision-making processes.
Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner.
Support stakeholders by interpreting analytics outputs to draw actionable conclusions.
Manage test & scale analytical practice through sophisticated test design & setup and analysis & evaluation to improve experimentation capabilities.
Manage promotions & pricing analytics capabilities and continue to evolve the tools and methodologies to create a best-in-class promotional measurement & evaluation practice.
Stay current on industry trends and best practices in promotional measurement techniques, elasticity modeling, econometrics, and demand forecasting to continuously improve promotional measurement capabilities.
Position Requirements
Bachelor’s or Master’s degree in quantitative or business field, such as statistics, math computer science, economics, data science, or marketing
6+ years of experience in data analysis, advanced analytics, data science, or with preferred experience within promotions & pricing analytics
Proficient in Excel, PowerBI, and other reporting tools, as applicable
Technical skillsets in SQL, Python, Databricks, Azure, Synapse, or SAS preferred.
Experience leveraging machine learning and predictive models to drive business outcomes & objectives.
Experience managing and growing an analytics capability/program, with experience doing so within promotions and pricing preferred.
Experience with Marketing, Media, & Ad measurement through econometrics and Marketing Mix Modeling preferred.
Knowledge, Skills & Abilities
Robust understanding of retail business operations, promotion strategies, and consumer behavior
Proactive approach to identifying and addressing business challenges using data-driven methodologies.
Strong verbal and written communication skills
Experience within Retail industry a plus
Working Conditions
Limited travel as required by business needs
This role is Hybrid offering a balance of remote work with the opportunity to collaborate on-site at Sleep Number's Headquarters in Minneapolis, Minnesota.
#PIQ
WellbeingWellbeing is more than a catchphrase - it's a movement that permeates our company and through our team members. We are dedicated to enhancing and supporting the wellbeing of our team members and their families through benefits, programs, and resources across our five wellbeing pillars of emotional, financial, career, community, and physical health, with sleep at the center.
By joining our team, in addition to offering competitive pay programs, we are proud to offer eligible team members an extensive benefits package including, but not limited to medical and pharmacy benefits, dental, life and disability insurance, a matched 401(k) Plan, paid time off, and much more.
SafetySafety is a top priority for Sleep Number supporting customers and team members wellbeing. COVID-19 Precaution(s) are in place consistent with CDC guidelines, U.S. Department of Labor’s Occupational Health & Safety Administration (OSHA), and state/local laws.
EEO StatementSleep Number is an equal opportunity employer. We are committed to recruiting, hiring and promoting qualified people and prohibit discrimination based on race, color, marital status, religion, sex (including gender, gender identity, gender expression, transgender status, pregnancy, childbirth, and medical conditions related to pregnancy or childbirth), sexual orientation, age, national origin or ancestry, citizenship status, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed servicemember status or any other status protected by federal, state, or local law.
Americans With Disabilities Act (ADA)It is Sleep Number’s policy to provide reasonable accommodations to qualified individuals with disabilities during the application process, consistent with applicable law. We may require supporting medical or religious documentation where applicable and permissible by law. If you are a qualified individual, you may request a reasonable accommodation at any time during the selection process, including if you are unable or otherwise limited in your ability to access open roles here.
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