Data Analyst - Completing

We are on the lookout for an experienced E-Commerce Marketing Analyst, brimming with innovative ideas and a robust marketing background. This role is critical for someone with a profound understanding of data analysis within the e-commerce space. You will play a pivotal role in leveraging customer behavior insights to craft data-driven strategies, enhancing our ecommerce platform's customer experience, and driving our business forward.

1. Strategically design, develop, and manage comprehensive data models and dashboards for the marketing, product teams, and directly for the CEO, highlighting business performance across key metrics including sales, product insights, and customer engagement.
2. Conduct in-depth analyses to address complex e-commerce challenges, uncovering trends and actionable insights that lead to strategic initiatives and innovative reporting solutions.
3. Foster collaboration with cross-functional teams to promote a data-centric culture across the company, ensuring that all strategic decisions are grounded in data.
4. Pioneer the adoption of analytical best practices, championing data accuracy and integrity through the development of efficient processes and protocols.
5. Keep a pulse on the e-commerce and marketing industry, analyzing competitor strategies and market trends to identify opportunities for growth and improvement.
6. Apply advanced statistical modeling and machine learning techniques to predict sales trends and customer behavior, significantly enhancing decision-making and strategic planning.

1. Qualifications: 
   1. Bachelor's degree in Marketing, Business Analytics, Statistics, Computer Science, or a related field. A Master's degree is highly desirable.
   2. At least 5 years of experience in a senior marketing analytics role, with a proven track record in the e-commerce sector.
   3. Expertise in analytical and visualization tools (e.g., Tableau, Power BI) with a strong preference for candidates with Shopify experience.
   4. Demonstrated capability in managing large datasets, with a comprehensive understanding of data warehousing, ETL processes, and dashboard creation.
   5. Exceptional analytical prowess and proficiency in statistical modeling, with an innovative mindset towards solving business problems.
   6. Outstanding communication skills, with the ability to articulate complex data insights in a clear and compelling manner to stakeholders at all levels.
   7. Self-starter attitude, capable of working autonomously to generate and implement forward-thinking reporting solutions, demonstrating a blend of professionalism, directness, and innovation.

Compensation & Benefits: 

• Health benefits
• Paid time off
• Company Laptop
• Hybrid opportunity considered post 60-day probationary period