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Senior Data Analyst, CRM

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).

Average salary estimate

$115000 / YEARLY (est.)
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$110000K
$120000K

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What You Should Know About Senior Data Analyst, CRM, David Yurman

At David Yurman, we're on the lookout for a Senior Data Analyst, CRM to join our dynamic team in New York, NY! If you're passionate about data and want to drive meaningful business outcomes, this could be the perfect role for you. In this position, you’ll dive deep into customer behavior and segmentation, working alongside our Finance, Ecommerce, Marketing, and CRM teams to deliver actionable insights. Your analytical prowess will help maintain and optimize our Customer Growth Model, ensuring we're always in sync with our consumers. You'll also map out customer journeys to identify pain points and opportunities for enhancing our engagement. Plus, your expertise will be key in measuring marketing campaign performances and advising on advanced analytics, ensuring David Yurman's contemporary collections are backed by solid data-driven strategies. With our commitment to impeccable craftsmanship and innovation, you’ll create visually engaging dashboards and reports that allow stakeholders to understand complex datasets easily. This role isn’t just about the numbers; it’s about contributing to our rich history of artistic passion and creativity. So if you're ready to join a team that values diversity, equity, and genuine collaboration, apply today and let’s make an impact together!

Frequently Asked Questions (FAQs) for Senior Data Analyst, CRM Role at David Yurman
What are the main responsibilities of a Senior Data Analyst at David Yurman?

As a Senior Data Analyst at David Yurman, you will be responsible for analyzing customer behavior, maintaining customer growth models, and reporting on brand health metrics. You will collaborate with various teams to optimize marketing strategies, ensure data accuracy, and present insights through visually engaging dashboards. Your role includes performance tracking for campaigns and offering actionable recommendations for enhancing customer engagement.

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What qualifications do I need to apply for the Senior Data Analyst position at David Yurman?

To be considered for the Senior Data Analyst role at David Yurman, candidates should have a bachelor's degree in Marketing, Data Science, or a related field, along with 4-6+ years of experience in data analytics. Proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI is essential, as well as familiarity with CRM platforms and statistical modeling techniques. Strong analytical and communication skills are also crucial for this role.

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How does a Senior Data Analyst at David Yurman use data to influence business strategies?

In the Senior Data Analyst role at David Yurman, data is utilized to understand customer behavior and optimize marketing strategies. By analyzing large datasets and performing customer segmentation, you'll help the company tailor its engagement practices to enhance the overall customer experience. Your insights will guide decisions in marketing campaigns and product offerings, ensuring alignment with customer preferences and driving business growth.

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What toolsets are important for a Senior Data Analyst at David Yurman?

Key toolsets for a Senior Data Analyst at David Yurman include strong proficiency in SQL for querying data, advanced Excel skills for analysis and reporting, and experience with data visualization tools like Tableau or Power BI. Familiarity with Google Analytics 4 (GA4) and understanding customer data platforms will also be important, enabling you to derive insights that enhance customer experience and support overall business initiatives.

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What kind of work environment can a Senior Data Analyst expect at David Yurman?

At David Yurman, a Senior Data Analyst can expect a collaborative and innovative hybrid work environment. The role involves working closely with cross-functional teams, contributing to creative projects, and meeting three days a week in the New York office. This dynamic setting fosters personal growth and values the importance of diversity and inclusivity in the workplace.

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Common Interview Questions for Senior Data Analyst, CRM
Can you describe your experience with customer segmentation analysis?

When answering this question, provide specific examples of projects where you effectively utilized customer segmentation techniques. Discuss the methods you employed, what data sources you analyzed, and how your insights impacted marketing strategies or business outcomes.

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How do you approach data visualization for stakeholders who may not understand complex data?

Explain your strategy for creating accessible data visualizations. Highlight the importance of choosing the right tools and visualization types, while emphasizing clarity and simplicity. Discuss any specific examples where your visual representations significantly improved understanding among non-technical stakeholders.

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What statistical modeling techniques are you familiar with and how have you applied them?

Share your knowledge of statistical techniques such as regression analysis or predictive modeling. Provide an example of a project where you successfully implemented these techniques to solve a problem or drive decision-making, highlighting the results achieved.

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Describe a time when your data analysis revealed unexpected insights.

When discussing this situation, focus on a specific instance where your findings challenged existing assumptions or highlighted new opportunities. Detail the steps you took to validate your insights and how you communicated them to your team or stakeholders.

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How do you ensure data accuracy and integrity in your reports?

Highlight your methods for maintaining data accuracy, such as establishing quality control processes, regular audits, and using best practices for data governance. Mention experiences where you identified and rectified data quality issues, underscoring the importance of reliable data in decision-making.

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What role do you think a Senior Data Analyst plays in enhancing customer experience?

Discuss the integral role a Senior Data Analyst has in understanding customer behavior through data analysis. Emphasize how your insights can improve engagement, personalize marketing strategies, and ultimately contribute to better customer satisfaction and loyalty.

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How do you stay updated with the latest tools and trends in data analytics?

Mention the resources you rely on to stay informed, such as industry blogs, webinars, or professional networks. Talk about any recent tools or technologies you’ve started using and how they’ve improved your analytic capabilities.

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How do you measure the effectiveness of marketing campaigns using data?

Provide examples of metrics and KPIs you focus on when assessing marketing campaigns. Discuss your approach to gathering data, analyzing results, and how you communicate findings to marketing teams to guide future campaign strategies.

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Can you give an example of a successful collaboration with cross-functional teams?

Share an example that showcases your ability to collaborate effectively with teams outside of data analytics. Highlight the project goals, your contributions, and the impacts on business alignment and customer engagement.

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What challenges have you faced in your data analysis roles, and how did you overcome them?

Discuss a specific challenge related to data analysis, such as data quality issues or resistance from stakeholders. Explain how you addressed the challenge and the positive outcome that resulted, demonstrating your problem-solving capabilities.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
March 27, 2025

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