E-commerce Data Analyst

Placements24; United States; Remote; USD 85,000 - 110,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Flexible hours

Home office stipend

Professional development

Job summary

Placements24 is seeking an experienced E-commerce Data Analyst to join our client remotely. You will translate data into strategic insights, optimize online performance, and support revenue growth across campaigns and product initiatives.

You will collect and analyze diverse data sets, build dashboards, run A/B tests, and communicate findings to marketing, product, and sales teams. This role requires at least 3 years in e-commerce analytics and strong SQL/Python skills.

Qualifications

• Bachelor’s degree in a quantitative field is required.
• Minimum 3 years of data analysis experience in e-commerce or digital marketing.
• Strong knowledge of SQL, Python (Pandas/NumPy) or R and web analytics platforms.

Responsibilities

• Collect, clean, and analyze large datasets from e-commerce sources like website analytics, sales data, and campaigns.
• Develop and maintain dashboards/reports to track KPIs such as traffic, conversions, CAC, LTV, and sales performance.
• Identify trends, patterns, and anomalies to surface actionable insights.
• Conduct A/B tests and experiments to optimize website UX and marketing campaigns.
• Provide data-driven recommendations to marketing, product, and sales teams to improve acquisition, retention, and engagement.
• Monitor competitor activities and market trends to spot threats and opportunities.
• Build predictive models to forecast sales and customer behavior.
• Present complex findings clearly to stakeholders across levels.

Skills

SQL

Python (Pandas/NumPy)

R

A/B testing

Data storytelling

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Tools

Google Analytics

Adobe Analytics

Tableau

Power BI

Job description

About the Role

Our client, a forward-thinking e-commerce business, is seeking a skilled and analytical E-commerce Data Analyst to join their team remotely. This role is critical for leveraging data to uncover insights, optimize online performance, and inform strategic business decisions. The ideal candidate will have a strong aptitude for data interpretation, a solid understanding of e-commerce metrics, and the ability to translate complex data into actionable recommendations. You will play a key role in enhancing customer experience, improving conversion rates, and driving revenue growth through data-driven strategies. This is a fully remote opportunity for a passionate analyst who excels at deriving value from diverse data sets, contributing to the success of our client's online ventures.

Key Responsibilities

• Collect, clean, and analyze large datasets from various e-commerce sources, including website analytics, sales data, customer behavior, and marketing campaigns.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) related to website traffic, conversion rates, customer acquisition cost, customer lifetime value, and sales performance.
• Identify trends, patterns, and anomalies in data to uncover actionable insights and opportunities for improvement.
• Conduct A/B testing and other experiments to optimize website design, user experience, and marketing campaigns.
• Provide data-driven recommendations to the marketing, product, and sales teams to enhance customer acquisition, retention, and engagement strategies.
• Monitor and analyze competitor activities and market trends to identify potential threats and opportunities.
• Build predictive models to forecast sales, customer behavior, and campaign outcomes.
• Communicate complex findings clearly and concisely to stakeholders at all levels through presentations and reports.
• Ensure data integrity and accuracy across all reporting and analysis.
• Stay updated with the latest data analysis tools, techniques, and e-commerce best practices.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 3 years of experience in data analysis, with a focus on e-commerce or digital marketing.
• Proficiency in data analysis tools such as SQL, Python (Pandas, NumPy), or R.
• Strong experience with web analytics platforms (e.g., Google Analytics, Adobe Analytics).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Solid understanding of e-commerce metrics and business drivers.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Ability to work independently and manage multiple projects simultaneously in a remote setting.
• Familiarity with A/B testing methodologies and tools.

Benefits

• Competitive salary package for a fully remote role.
• Comprehensive health benefits and retirement plan.
• Flexible working hours to support a healthy work-life balance.
• Opportunities for professional development and access to online courses and conferences.
• Generous allowance for home office setup and expenses.
• Be part of an innovative and data-driven company culture.
• The chance to make a significant impact on business strategy from anywhere.