Analyst, Ecommerce Marketing

The Ecommerce Marketing Analyst at Levi Strauss & Co. is responsible for providing strategic insights and analyses regarding channel-level performance for Levi’s® in the US. This includes turning business questions into functional analyses, communicating findings and recommendations, managing reporting for the Performance Marketing team, conducting A/B tests, and troubleshooting data issues with engineering and data teams. Through these tasks, the analyst helps drive decision-making that supports the company's growth strategy.

To be considered for the Ecommerce Marketing Analyst position at Levi Strauss & Co., candidates should possess a degree in data-related fields such as mathematics, statistics, analytics, or data engineering. A minimum of 2 years of experience in a business or marketing analytics role is required, along with intermediate to advanced proficiency in SQL (preferably within Google Cloud Platform/BQ). Experience with data visualization tools like Tableau or Looker, as well as familiarity with data engineering processes, is also beneficial.

The Ecommerce Marketing Analyst role at Levi Strauss & Co. is a hybrid position based in San Francisco, CA. Employees are generally expected to work in the office three days a week, typically from Tuesday to Thursday. However, this can vary based on business needs. This model allows for collaboration while also providing flexibility for remote work.

The expected salary range for the Ecommerce Marketing Analyst position at Levi Strauss & Co. is between $67,200 and $105,600 per year. However, actual pay may vary based on factors like location, relevant experience, and performance. This range is designed to be competitive and reflects the significant role this position plays within the organization.

Levi Strauss & Co. offers a comprehensive total rewards package for its Ecommerce Marketing Analysts, which includes base pay, incentive plans, 401(k) matching, paid leave, health insurance, and product discounts. The benefits are designed to promote overall well-being, financial health, and work-life balance. Specific benefits related to this role can be discussed upon request.

When approaching data analysis for marketing performance, I prioritize understanding the business objectives first. I extract and aggregate data from various sources, ensuring relevance to key performance indicators. I then interpret these data insights to make strategic recommendations, focusing on actionable outcomes that can significantly enhance marketing efforts.

I have a strong background in SQL, having used it extensively to write complex queries and perform data analysis. This experience is crucial for the Ecommerce Marketing Analyst role as it allows me to extract meaningful insights that drive marketing strategies and optimize channel performance effectively.

In conducting A/B testing, I typically define clear hypotheses and select relevant metrics to measure. I set up A/B tests to ensure a controlled environment, analyze the results using statistical methods, and present my findings with actionable recommendations based on data interpretations and insights gained.

To communicate my analytical findings effectively, I tailor my presentations to the audience’s level of understanding. I use clear visuals, supported by concise narratives that allow stakeholders to grasp the insights quickly. I focus on actionable recommendations that resonate with their specific needs and objectives.

I have hands-on experience using Tableau and Looker for creating dashboards and visualizations that help convey complex data insights. I believe that effective data visualization is key to understanding trends and patterns, and I excel at using these tools to present data in an accessible manner that drives strategic decision-making.

Collaboration with engineering teams involves open communication and understanding technical challenges together. I routinely participate in meetings to discuss ongoing issues, provide my insights, and work with data engineering teams to troubleshoot and resolve issues efficiently, ensuring that our marketing data is accurate and reliable.

My motivation to apply for the Ecommerce Marketing Analyst role at Levi Strauss & Co. stems from my passion for data analytics combined with my admiration for the Levi’s brand. I’m inspired by the company’s commitment to innovation and social responsibility, and I see this position as an opportunity to leverage my skills to contribute to a brand I truly resonate with.

In ecommerce marketing analysis, I prioritize KPIs such as conversion rates, customer acquisition costs, return on ad spend (ROAS), and customer lifetime value (CLV). These are crucial indicators that provide insights into the effectiveness of marketing channels and strategies, enabling data-driven decisions to optimize performance.

I stay updated with trends and technologies in ecommerce marketing by following industry leaders, attending webinars, and participating in relevant professional networks. I also subscribe to pertinent publications and engage in continuous learning through online courses, ensuring that I am equipped to leverage new strategies in my work.

In a previous role, I identified a significant drop in the conversion rate for a particular marketing channel. By analyzing user behavior data, I pinpointed the issue and recommended a shift in targeting strategy. This adjustment resulted in a 30% uplift in conversions, showcasing the power of informed data analysis in optimizing marketing performance.