Description

Senior Manager, Customer Data and Insights

#KKO-2635

San Francisco, California

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 DTC 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.

Wage Range: $160,000-$175,000 per year

Work Location: San Francisco, CA. Must work onsite at San Francisco, CA worksite at least 3 days per week.

REQUIREMENTS

• Bachelor's 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.

Full-time