Senior Manager, Customer Data and Insights at Kendo Brands in San Francisco, California

Job Description:

Job Description

Kendo Holdings, Inc. is a San Francisco-based beauty brand developer and wholesaler owned by LVMH Moët Hennessy - Louis Vuitton, the world's largest luxury group. A play on the words "can do", Kendo has become the hub of creativity and next generation beauty product development for global Sephora channels and selective retailers outside of Sephora.

Through original development, collaborations and acquisitions the Kendo stable of brands will always be creative, inspiring and innovative. A dynamic engine of speed, expertise and market-savvy, the Kendo team continues to redefine the beauty industry through great product, great storytelling, great retail and direct-to-consumer partnerships. This shows up in everything we do and in what we stand for:

• "Can Do" Spirit: We work together to make our wildest dreams a reality: As entrepreneurs, we embrace optimism and find creative ways to reach our goals


• Advocacy, Diversity, and Inclusion: We recognize and celebrate the full spectrum of personal identities. We create safe spaces so everyone's voice is heard. We listen with humility and act with courage.


• Storytelling: We tell authentic stories like no, one else. It's our key to inspire trust and build relationships, rallying, our people, partners, and consumers around our brands.


• Resilience: We embrace challenges as opportunities. Change is ever- constant, and agility is our strength.


• Product Excellence: We put the consumers first: We constantly raise the bar to create products of the highest quality that everyone just has to have.

The salary range for this position is $155,000 - $175,000 per year based upon a San Francisco location. Offered salary is dependent upon experience and location. Kendo Total Rewards offerings also include an annual bonus and a comprehensive benefits package including: medical, dental and vision insurance, flex paid time off program, parental leave, employee discount/perks, a retirement plan with employer contributions, Summer Fridays, opportunity to work from anywhere for two weeks in the summer and July and December wellness/shutdown weeks for applicable positions.

RESPONSIBILITIES

Research, analyze, and report on direct-to-consumer (DTC) customer data trends across multiple brands to gather marketing insights that drive business growth; maintain a customer data platform, data visualization platform, other key reporting tools used by senior-level internal stakeholders for decision-making purposes; collaborate with e-commerce and other marketing analysts to drive and support direct-to-consumer marketing analytics for beauty product branding and wholesaling; define key performance indicators (KPIs) and reporting parameters to align with project plans, scope, and overall campaign strategies; utilize customer relationship management (CRM) systems, marketing automation tools, and advanced Excel to gather and organize large volumes of data for customer segmentation, forecasting, cohort analysis, and product sales analysis; conduct CRM performance reporting and dashboarding, with a focus on data capture, repeat purchase/churn rates, and loyalty performance measurement for DTC partnerships; collaborate with e-commerce stakeholders to develop and run analyses for key projects including campaign reporting, audience segmentation, customer satisfaction, budget forecasting, and product launches for beauty brand development and wholesaling.

REQUIREMENTS

• Bachelor's or foreign equivalent degree in Marketing, Analytics, Econometrics, Economics, or a related field.


• Five (5) years of progressively responsible, post-baccalaureate experience in the job offered or as Customer Data/Reporting Analyst or in a related role.


• Experience must include:

• customer relationship management and direct-to-consumer marketing for retail/wholesale industry;


• developing visual reports, KPI scorecards, and enterprise dashboards using Power BI and Looker;


• audience segmentation, cohort analysis, and product sales analysis for apparel or beauty sector;


• developing SQL queries with Oracle SQL to integrate customer data from multiple sources; and


• predictive analytics and regression analysis for brand market research.

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