Senior Business Intelligence Analyst

5 days ago

New York, New York, United States David Yurman Full time
About Us

At David Yurman, we're driven by a passion for artistic expression and a commitment to innovation. Our team of experts is seeking a talented Senior Data Analyst to join our growing business. As a Senior Data Analyst, you'll play a key role in leveraging data to drive customer understanding, segmentation, and business growth. You'll work closely with cross-functional teams to analyze customer behavior, improve customer engagement, and optimize personalized marketing strategies.

Key Responsibilities:
  • Customer Segmentation & Profiling: Design and implement data-driven customer segmentation models to optimize marketing campaigns, personalized offers, and customer lifecycle management.
  • Customer Growth Model
  • Brand Health Metrics: Own and report on YouGov structure and metrics.
  • Customer Journey Analysis: Work with marketing, eCom, 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.
  • Data Analysis & Reporting: 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.
  • Predictive Analytics: Build predictive models to forecast customer behaviors, such as churn, product preference, and engagement likelihood, providing actionable recommendations to teams.
  • Advanced Analytics & Machine Learning: 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, or Looker, 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 and contribute to the development of personalization strategies.
Key Qualifications:
  • Bachelor's degree in Marketing, Data Science, Mathematics, Statistics, or related field
  • Experience:
    • 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, Power BI, or Looker.
    • Experience with data sources like GA4, Medallia, YouGov.
    • Proficiency in statistical software (e.g., R, Python) for predictive modeling, regression analysis, and machine learning is a plus.
    • 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.
  • 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.
Location: New York, NY (Tribeca)
Work Model: Hybrid (3 Days in Office / 2 Days Remote)
Estimated Salary Range: $110,000 - $125,000

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