Data Analyst (Ecommerce & Marketing Analytics)

About Ramy Brook:

Ramy Brook is a fast-growing women's contemporary fashion brand known for its sophisticated designs and commitment to empowering women through style. With a strong focus on Ecommerce innovation, we are building a data-driven approach to scale growth, enhance customer experiences, and optimize performance across all channels.

As part of this mission, we are seeking a Data Analyst to join our team and play a critical role in advancing our analytics capabilities. This hybrid role combines strategic and tactical responsibilities, focusing on analyzing marketing and Ecommerce performance, providing actionable insights, and unifying data systems to drive decision-making across the business.

Role Summary:

The Data Analyst will focus on delivering advanced data analysis and actionable insights across Ecommerce and marketing channels. This role will support customer acquisition, retention, sales, and campaign performance, while also driving improvements in data reporting, forecasting, and overall strategy. As a foundational member of our analytics function, you will collaborate closely with cross-functional teams to ensure a unified, data-driven approach to achieving business goals.

Key Responsibilities:

1. Build the Analytics Foundation

• Design and implement scalable data pipelines and dashboards to consolidate data from Shopify, Google Analytics, Meta Ads, Klaviyo, and other platforms.
• Define and standardize KPIs, including CAC, ROAS, LTV, retention, churn, and conversion rates, to ensure consistent reporting across the organization.
• Identify gaps in current data collection and propose solutions to improve accuracy and consistency.

2. Data Analysis & Reporting

• Analyze customer acquisition, retention, and lifetime value trends to inform strategic decisions.
• Track and report on marketing channel performance (Meta, Google, email, SMS, organic, etc.) to uncover insights and drive optimizations.
• Develop real-time dashboards and reporting tools for Ecommerce and marketing KPIs, accessible to leadership and key team members.
• Support A/B testing efforts for campaigns, site changes, and creative, providing data-driven recommendations.

3. Customer Insights & Retention

• Conduct deep-dive analyses into customer behavior, segmentation, and purchasing patterns.
• Build retention models and identify high-value customer segments to inform targeted marketing strategies.
• Collaborate with marketing teams to reduce churn and increase repeat purchase rates through actionable insights.

4. Strategic Data Leadership

• Create a roadmap for the analytics function, balancing immediate needs with long-term strategic goals.
• Introduce advanced analytics approaches, such as multi-touch attribution, cohort analysis, and predictive modeling, to optimize marketing and sales strategies.
• Work closely with buying, merchandising, marketing, and customer service teams to align analytics priorities with business objectives.

5. Campaign & Performance Optimization

• Analyze and optimize marketing spend across channels, recommending budget reallocations and campaign adjustments.
• Provide detailed performance reports for quarterly business reviews and strategic planning sessions.
• Support sales forecasting and inventory needs by providing advanced demand and trend analysis.

Qualifications:

Technical Skills

• Proficiency in data visualization tools (e.g., Google Data Studio, Tableau, Looker).
• Hands-on experience with platforms such as Shopify, Google Analytics, Meta Ads Manager, and Klaviyo.
• Strong analytical skills, with advanced Excel/Google Sheets expertise. SQL or Python knowledge is a strong plus.
• Deep understanding of Ecommerce metrics: CAC, ROAS, LTV, retention, conversion rates, and churn.

Strategic Abilities

• Ability to define and prioritize key metrics and analytics needs for a high-growth business.
• Proven experience in using data to influence marketing strategies and optimize performance.
• Strong problem-solving skills, balancing short-term execution with long-term planning.

Soft Skills

• Excellent communication skills, with the ability to translate complex data into actionable insights for non-technical audiences.
• Highly organized, self-motivated, and capable of building processes independently.
• Adaptable and comfortable working in a fast-paced, high-growth environment.

Experience

• Bachelor’s degree in Marketing, Data Analytics, Business, or a related field.
• 3 years of experience in marketing analytics, Ecommerce, or performance marketing.

What We Offer:

• The opportunity to make a foundational impact as part of a high-growth, data-driven Ecommerce team.
• A collaborative and supportive team culture that values innovation and growth.
• Professional development opportunities, including the potential to build and lead a data analytics team.
• Competitive salary and benefits package.