Associate, Analytics and Performance

Tapestry•New York, NY

2d•$75,000 - $90,000•Hybrid

About The Position

Since its launch in 1993 with a collection of six essential handbags, Kate Spade New York has always been colorful, bold, and optimistic. Today, it is a global lifestyle brand that designs extraordinary things for the everyday, delivering seasonal collections of handbags, ready-to-wear, jewelry, footwear, home décor, and more. Known for its rich heritage and unique brand DNA, Kate Spade New York offers a distinctive point of view and celebrates communities of women around the globe who live their perfectly imperfect lifestyles. Kate Spade New York is part of the Tapestry portfolio – a global house of brands committed to stretching what’s possible. A member of the Tapestry family, we are part of a global house of brands that has unwavering optimism and is committed to being innovative and wholly inclusive.Primary Purpose: The Associate, Analytics and Performance plays a critical role in Kate Spade’s customer centricity efforts. This position is responsible for the creation of actionable media insights, channel forecasting, reporting and measurement. The goal of these activities is to advance the company’s knowledge of the customer and their media interactions and quantify the impact of our efforts. Ultimately, this role will help us discover the information hidden in our media performance data and support data driven decision making. The ideal candidate will possess a balance of technical skills, curiosity, and proficiency in data visualization. They will help solve business problems, examining results to identify patterns and insights within structured and unstructured data. They will propose analytical strategies and solutions that challenge and expand the thinking of the entire team. The successful individual will leverage their proficiency in marketing data analytics to

Requirements

3+ years’ experience working with marketing data, applied statistics, and data mining. Experience with quantitative techniques of regression, multivariate analysis, and statistical significance testing.
An equivalent combination of work experience and education will be considered.
Proficiency in analytical tools: modeling and reporting in Excel/Access and SQL
Proficiency in data visualization tools: R, Python, Tableau, or similar.
Experienced in working in a direct-to-consumer business, preferably with multiple channels of distribution.
Strong understanding of digital marketing channels, including paid search, social media, email, and SEO.
Proven track record of being able to work independently with the business stakeholders with minimal direction and proactively engage with them.
Excel at making complex concepts simple and easy to understand by those around you. Strong communication and data visualization skills i.e., translating complex concepts into layman’s terms and influence both peers and senior leadership.

Responsibilities

Bring disparate sources of data together in a uniform manner.
Analyze performance metrics across owned, earned & paid digital marketing channels, including paid search, display, paid social, and email marketing.
Prepare & deliver reporting. Aggregate data and insights across multiple stakeholders, vendors, and agencies, and consolidate into a clear, consistent, and easily digestible view.
Extract actionable insights through analyzing large, complex, multi-dimensional data sets.
Establish & consistently publish full-funnel digital marketing insights, reports, and dashboards to socialize analysis with team and cross-functional business partners in compelling and professional data visualizations.
Drive monthly marketing channel performance forecasting with Tapestry COE & Agency
Collaborate with cross-functional internal & external partners to strategically apply learnings to media activations, including recommendations for shifts in spend levels across creatives, partners/platforms optimizations, channels and/or time period adjustments.
Leverage a strong understanding of customer segmentation & analytics to identify opportunities in our media mix and audience targeting, in partnership with Customer Analytics Manager.
Support test & learn strategy across paid & owned channels, extracting insights, opportunities, and actions from test results.
Act as a subject matter expert in marketing measurement science, specifically MMM + MTA unified-model measurement and media KPIs.
Remain aware of data inconsistencies and work with IT, Tapestry Data Labs, Tapestry COE and/or the brand’s Agency of Record to ensure data efficacy & quality.