Manager, Analytics : Insights and Strategy
$125k - $150kCAbi
Manager, Analytics : Insights and Strategy Long Beach, California At cabi, we’re redefining what it means to build a fashion brand—one rooted in connection, confidence, and purpose. As a women’s retail clothing company, we don’t just design beautiful apparel; we create opportunities for women to express themselves, build community, and thrive both personally and professionally. Our culture is collaborative, entrepreneurial, and deeply people-first, and every team member plays a role in creating meaningful experiences for our Stylists and clients. If you’re energized by creativity, inspired by empowering others, and excited to contribute to a brand that blends style with substance, you’ll feel right at home here. The Manager, Analytics is responsible for ensuring strategic alignment between sales goals and the sales framework, processes, and support mechanisms that cabi utilizes to achieve those goals. This person plays a vital role in the success of a sales organization by working with the sales team to ensure smooth day-to-day operations. As the Field Strategy liaison within our Analytics team, the Sales Analytics role generates data-driven insights, forecasts strategy plans, and makes sure that all of the necessary systems are in place. They are also fluent in the use of AI tools to enhance productivity, automate routine analysis, and drive faster, more informed decision-making across the sales organization. Role Requirements: Review performance of company KPI targets to date and identify significant areas of opportunity within the sub-components of those key targets. Primary focus will tie to KPIs within the Sales and Community teams. Business Intelligence and Oversight. Aid our field teams in how to best optimize technology to support sales processes – examples include improved support and service workflows; efficient knowledge transfer via back-office tools and training content; and sales process Optimizations. Leverage AI tools to accelerate analysis, surface insights, and streamline reporting workflows — including the use of AI-assisted platforms for sales forecasting, content generation, and operational efficiency. Evaluate and recommend new AI capabilities relevant to the sales and field strategy function as the landscape evolves. Define and implement processes, at scale, to improve the efficiency and quality of the Stylist experience. Leverage cohort analysis to identify where universal messaging is appropriate versus opportunities for customized aids/guidance targeted towards segmented groups. Collaborate with senior management on seasonal and monthly planning for sales targets, as well as promotion and incentive schedules. Consistently review core bonus and compensation programs to ensure ongoing alignment between reward behaviors/values and priority company objectives. Provide daily, weekly and monthly sales forecasting - maintain, update, and validate models with the latest internal and external data to continually improve accuracy. Oversee projects that seek to answer business questions at the request of cross-functional partners. Pursue lead generation opportunities that expand the Stylist and home office audience reach. Partner with merchandising team on deepening seasonal sell-through through unique calls to action, repetition of key product training concepts, and data analysis that highlights unique, actionable behaviors within our existing consumer base. Partner with training team on (a) strengthening training content and (b) increasing engagement/adoption of the tools that deliver that content. Be a collaborative, willing partner across all cross-functional teams and an exceptional project manager for priority sales-based initiatives. Experience: Bachelor's degree in a related discipline and 10 years' experience in a related field with a demonstrated history of improving sales productivity, retention by providing data-driven insights Data-driven mind-set with proven experience utilizing metrics & insights as tools for informed decision-making. A strong team player who supports their team and embraces ownership, accountability, and responsibility for the team’s work. Analytical problem solver comfortable tackling ambiguous, complex opportunities and driving outcomes Expertise with financial modeling skills, including proficiency in Excel Expertise with SQL, Tableau, PowerBI, Snowflake, and other Business Intelligence and Data Visualization tools strongly desired What We Offer At cabi, we believe our people should be recognized for the impact they make. Our compensation philosophy is designed to provide fair and competitive pay based on the value and scope of each role, as well as relevant experience, skills, and the market in which the role is based. The anticipated salary range for this position is $125,000 - $150,000. Actual compensation may vary based on a variety of job-related factors, including relevant experience, knowledge, skills, qualifications, and geographic location. In addition to base salary, this position may be eligible for up to 10% - 15% Bonus. At cabi, we believe benefits should support the whole person—at work, at home, and for the future. We offer a competitive benefits package designed to support your health and well-being, financial security, time away, personal growth, and connection. Our benefits include: Competitive medical, dental, and vision coverage Flexible spending account options Company-paid life and AD&D insurance 401(k) retirement plan with a company match Paid time off and paid holidays Employee purchase discounts of up to 85% Additional employee appreciation and clothing perks Opportunities for training and professional development Team celebrations, catered lunches, and other employee appreciation experiences Benefits eligibility and offerings may vary based on employment status and applicable plan requirements. Cabi regularly reviews its compensation and benefits programs to promote fair and consistent practices across the organization. Cabi is an equal opportunity employer. We’re committed to providing equal employment opportunities to all qualified applicants and employees. We don’t discriminate on the basis of race, color, religion, sex, pregnancy, childbirth or related medical conditions, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local law. We’re committed to providing reasonable accommodations to qualified individuals with disabilities and to applicants and employees who require an accommodation for a sincerely held religious belief, practice, or observance, consistent with applicable law. We’ll consider qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws. Candidate Safety Your safety matters to us. As you explore career opportunities, be cautious of fraudulent job postings, fake websites, and individuals impersonating recruiters or company representatives. Cabi recruiters will only contact candidates through @cabiexperience.com or through our official applicant tracking system, Greenhouse. Cabi recruiters will never ask candidates to send money, purchase equipment or gift cards, deposit a check, or provide sensitive financial information as part of the recruiting process. If you’re unsure whether a communication is legitimately from cabi, contact View email address on click.appcast.io before providing any personal information. Joining cabi means more than stepping into a role—it’s stepping into a mission. We’re passionate about uplifting women, supporting growth, and celebrating individuality in everything we do. As you explore this opportunity, imagine the impact you could make as part of a company that values innovation, authenticity, and connection at every level. If you’re ready to bring your talents to a team that’s as driven as it is supportive, we’d love to see what you can do with us. Apply for this job * indicates a required field First Name * Last Name * Preferred First Name Email * Phone Country * Phone * Location (City) * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Will you now or in the future require employment visa sponsorship (e.g., H-1B, etc. * Select... How many years of professional experience do you have working in data analytics? * How many years of hands-on experience do you have with data transformation processes (e.g., ETL/ELT pipelines, data modeling, SQL/Python data manipulation)? #J-18808-Ljbffr
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