Company Description

DEVBORN has been a trusted partner for US companies, connecting them with top engineering talent from Argentina and Uruguay for nearly a decade. With over 150 successful placements and a remarkable 90% contractor retention rate, DEVBORN focuses on matching not just skills but the right talent to seamlessly integrate into teams and deliver results from day one. The company specializes in staff augmentation and staff-to-hire services, offering culturally aligned professionals who are English proficient and work in US-compatible time zones. Their talent boasts over six years of seniority, excelling across various technologies including React, Python, and DevOps.

Role Description

As a Senior Data Analyst, you will shape pivotal, data-driven strategies that enhance the experiences our customer offers their members.

Your insights will support their business growth, inform product decisions, and drive efficiencies across their e-commerce subscription platform.

To do this, you will collaborate closely with Marketing, Product, Merchandising and Engineering to provide actionable data insights that influence decision-making and future roadmaps.

This role focuses on leveraging advanced analytics and statistical techniques to support personalization, acquisition, retention, and growth strategies.

You will make a significant impact by guiding the analytics that support their customer growth, retention, and customer satisfaction. You will own data initiatives from end to end and help create a lasting influence on the way they make data-driven decisions.

Key Responsibilities:

• Business Intelligence (BI) Tools: Build, maintain, and improve data products including dashboards, reports, and ad hoc analyses using Tableau and Snowflake to enable data-driven decision-making, eliminate manual processes and improve data reliability.
• Advanced Analytics & Statistical Analysis: Apply rigorous analytical methods to drive key business decisions. Lead efforts in hypothesis testing, A/B testing, regression analysis, and forecasting to inform product and marketing strategies.
• Process Automation & Optimization: Develop automation using SQL/Python and workflow tools (e.g., Airflow/dbt) to monitor data quality, trigger alerts, and keep stakeholders informed in real time.
• E-commerce Focus: Leverage your experience in e-commerce to develop actionable insights that improve customer acquisition, retention, and overall user experience in a subscription-based model.
• Cross-functional Collaboration: Partner with teams from Engineering,
• Marketing, and Product to influence strategy and drive execution. Build strong relationships to align business needs with data initiatives.
• Communication & Storytelling: Translate complex data sets into compelling stories. Present insights clearly to stakeholders at all levels, providing actionable recommendations that align with business goals.

Minimum Qualifications:

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
• 4+ years of experience in data analytics or related fields, with 2+ years providing technical support and guidance to teams.
• Proven experience in an e-commerce environment, preferably subscription-based business models.
• Expertise in advanced analytics, statistical methods, and experience with tools such as Tableau, Snowflake, SQL, Python, or R.
• Strong ability to communicate both technical details and high-level business strategies.

Extra Points for:

• Hands-on experience with machine learning, A/B testing, and experimental design.
• Deep knowledge of e-commerce KPIs, personalization techniques, and subscription models.