About Us
David Yurman is a celebrated American jewelry company founded in New York by David Yurman, a sculptor, and his wife, Sybil, a painter and ceramicist. When the artists began collaborating, their goal was simply to make beautiful objects to wear. Led today by their son Evan, David Yurman creates timeless, yet contemporary collections for women and men defined by inspiration, innovation, consummate craftsmanship and cable – the brand’s artistic signature. David Yurman collections are available at 50 retail stores throughout the United States, Canada, Hong Kong and France and at over 300 locations worldwide, through their exclusive authorized fine jewelry and timepiece network of retailers.
Our Values
At David Yurman, creativity, innovation and impeccable craftsmanship are at the core of everything we do. Fueled by the energy of our hometown, New York City, artistic passion informs each and every jewelry design. The Yurman family’s guiding vision continually defines and redefines what it means to be the preeminent American luxury jewelry brand. We are committed to responsible business and social practices and to the protection and advancement of human rights. We believe in partnering with others who share these values and understand their importance.
Job Description
Title: Senior Data Analyst
Overview
The Senior Data Analyst is responsible for leveraging data to provide insights that drive customer understanding, segmentation, and business growth. In this role, you will work closely with cross-functional teams (Finance, Ecom, Marketing & CRM) to analyze customer behavior, improve customer engagement, and optimize marketing strategies. You will be tasked with ensuring data integrity, building a combination of templated and ad hoc reports in support of our cross functional partners and offering actionable insights to enhance customer experiences and drive business outcomes.

Essential Duties & Responsibilities:

• Customer Growth Model – Maintain and optimize existing model
• Brand Heath Metrics: own YouGov structure and all associated reporting and insights
• Customer Journey Analysis: Work with marketing, eComm, CRM, and product teams to map and analyze customer journeys across various touchpoints, identifying pain points and opportunities to enhance the customer experience.
• Campaign Performance Tracking: Collaborate with the marketing team to measure and report on the performance of marketing campaigns, assessing their impact on customer acquisition, engagement, and retention.
• Advanced Analytics & Machine Learning: Analyze large datasets to extract actionable insights and recommendations from data mining, segmentation, customer profiling and quantitative analysis. Provide regular reports on customer segments, CLTV, and other key performance indicators. Work closely with business partners to integrate and operationalize the recommendations in the business strategies, plans and tactics. Work with Data Science teams to identify opportunities for advanced analytics and machine learning that drive better customer understanding and performance.
• Data Visualization: Develop clear, concise, and actionable dashboards and reports

using visualization tools like Tableau, Power BI, Looker or Sigma, presenting complex data in an understandable format for stakeholders.

• Market Research & Insights: Utilize customer data to support market research efforts, competitive analysis, and consumer insights projects.
• Data Integrity & Governance: Ensure data accuracy and completeness by identifying and addressing data quality issues. Maintain best practices for data hygiene, validation, and governance in collaboration with IT and Data Engineering teams.
• Collaboration & Cross-Functional Projects: Partner with teams in marketing, product, ecommerce, and sales to align customer data insights with broader business strategies. Contribute to the development of personalization strategies.

Qualifications:

• Minimum 4-6+ years of experience in data analytics or a related field, with a focus on customer behavior and segmentation.
• Proven experience working with large, complex datasets, preferably in omnichannel retail
• Technical Skills:
• Strong proficiency in SQL for data querying and manipulation.
• Advanced skills in Excel for analysis, reporting, and modeling.
• Experience with data visualization tools like Tableau, Sigma, Power BI, or Looker.
• Experience with GA4, Medallia, YouGov, Snowflake, 3rd party customer data
• Familiarity with CRM platforms (Salesforce, HubSpot, etc.) and customer data platforms (CDPs)
• Knowledge of statistical modeling techniques, such as regression analysis, time series analysis, and predictive modeling with a test and learn, agile testing mentality framework.
• Analytical Skills: Strong problem-solving abilities with a focus on actionable insights and business outcomes.
• Communication Skills: Excellent written and verbal communication skills to present findings to both technical and non-technical stakeholders.
• Attention to Detail: Strong attention to data accuracy, quality control, and the ability to spot trends and anomalies in datasets.
• Experience in customer segmentation, campaign performance analysis, and customer lifetime value (CLTV) modeling.
• Familiarity with A/B testing frameworks and experimental design.
• Experience working with marketing teams on personalization, targeting, and customer engagement strategies.
• Knowledge of data privacy regulations such as GDPR, CCPA, and how they impact customer data practices

Key Competencies:

• Data-Driven: Ability to make decisions based on data insights and analytics, with a strategic mindset.
• Collaboration: Work cross-functionally with various teams, including marketing, product, and sales, to deliver data insights and recommendations.
• Adaptability: Thrive in a fast-paced, evolving environment, adjusting to new challenges and emerging tools or technologies.

Education: Bachelors degree in Marketing, Data Science, Mathematics, Statistics or related field
Working Mode: Hybrid, 3 days in office in NYC
Estimated Base Pay: $110,000-120,000
Base pay is one component of David Yurman’s total compensation package, which may also include the following for eligible employees: access to healthcare benefits, 401(k) plan, bonus, employee discounts, Summer Fridays (corporate roles), generous paid time off, sick time, and more.
Diversity, Equity & Inclusion at David Yurman
As a company founded by artists, David Yurman champions self-expression in everything we do. We are committed to fostering a culture of openness and creative collaboration within our entire community, and we cherish the diversity of our employees’ backgrounds and perspectives. We will always advocate for equity and inclusion for all.
David Yurman is an Equal Employment Opportunity employer and provides equal opportunities to all employees and applicants without regard to an individual’s age, race, creed, color, religion, national origin, sex (including pregnancy, sexual orientation, gender)

• Customer Growth Model – Maintain and optimize existing model
• Brand Heath Metrics: own YouGov structure and all associated reporting and insights
• Customer Journey Analysis: Work with marketing, eComm, CRM, and product teams to map and analyze customer journeys across various touchpoints, identifying pain points and opportunities to enhance the customer experience.
• Campaign Performance Tracking: Collaborate with the marketing team to measure and report on the performance of marketing campaigns, assessing their impact on customer acquisition, engagement, and retention.
• Advanced Analytics & Machine Learning: Analyze large datasets to extract actionable insights and recommendations from data mining, segmentation, customer profiling and quantitative analysis. Provide regular reports on customer segments, CLTV, and other key performance indicators. Work closely with business partners to integrate and operationalize the recommendations in the business strategies, plans and tactics. Work with Data Science teams to identify opportunities for advanced analytics and machine learning that drive better customer understanding and performance.
• Data Visualization: Develop clear, concise, and actionable dashboards and report