Data Analyst (Ecommerce)

TL;DR

Data Analyst (Ecommerce): Analyzing large-scale user behavior and experimental data to drive search and discovery platform improvements with an accent on A/B testing, metric definition, and machine learning model evaluation. Focus on building analytical dashboards and collaborating cross-functionally to transform raw data into actionable business and product insights.

Location: Fully remote

Salary: $80,000–$120,000 USD

Company

hirify.global is a next-generation search and discovery platform for ecommerce, leveraging generative AI and LLMs to optimize revenue and conversion for global retail brands.

What you will do

• Analyze user behavior and massive datasets to identify trends, performance issues, and growth opportunities.
• Design, execute, and evaluate A/B tests to measure the impact of product changes on business outcomes.
• Build and maintain dashboards, reports, and internal tools to support decision-making processes.
• Define and validate key metrics that align user experience with overall business objectives.
• Partner with product, engineering, and data science teams to translate analytical insights into platform improvements.
• Work with SQL, Python, and distributed data systems to process high-volume information.

Requirements

• Strong analytical skills with a proven ability to solve business problems using data.
• Solid knowledge of SQL and hands-on experience working with large-scale datasets.
• Proficiency in Python for data analysis, specifically using pandas and NumPy.
• Deep understanding of A/B testing methodologies and statistical concepts.
• Experience in a customer-facing role or product analytics, ideally within ecommerce environments.
• Strong communication skills with the ability to translate complex business needs into analytical solutions.

Nice to have

• Familiarity with ranking, recommendations, or search relevance systems.
• Understanding of machine learning pipelines, training data quality, and model evaluation metrics.

Culture & Benefits

• Unlimited vacation policy with a minimum recommended 3 weeks per year.
• Remote-first environment with work-from-home stipend provided.
• Training and development budget refreshed annually.
• Apple hardware provided for all new hires.
• Stock options offered as part of the compensation package.
• Comprehensive maternity and paternity leave policies.