Data Analyst Lead

JD // Sr. Data Analyst Lead for a Retail Retention System (LATAM)

Job Title: Sr Data Analyst

Salary: $2,400- $2,600 USD/month Work Hours: 9:00 AM5:00 PM EST Work Type: Remote

About Us

We specialize in customer retention and analytics within the retail sector. We drive client success by delivering actionable insights and scalable tools, fostering growth through data-driven strategies and innovative automation solutions.

Role Overview

As a Data Analyst Lead , you will lead some of our data teams projects , ensuring seamless integration of analysis, automation, and development . This role will focus on orchestrating data processes, leading the development of advanced tools, and managing Agile workflows while fostering a culture of collaboration and excellence. The ideal candidate will possess technical expertise, project leadership, and an innate curiosity to drive impactful solutions.

Key Responsibilities

1. Development Project Management and Database Leadership

Oversee the entire data development lifecycle , including project planning, execution,

deployment, and maintenance

Lead the design, development, and implementation of complex data pipelines using Python , and Databases ( Postgres )

Implement robust database structures, ensuring data integrity, scalability, and efficient

retrieval

Manage CI/CD pipelines and enforce QA standards , including test coverage and release

notes

Guide Agile practices , including sprint planning, stand-ups, retrospectives, and iteration management for data development projects

Define clear roadmaps and delegate development tasks effectively, balancing competing priorities for both data pipelines and automation tools

Act as the primary point of contact for project timelines, scope, and deliverables related to data development

2. Tool Development and Automation

Design and implement automation tools and scripts to streamline data processes and

improve efficiency

Utilize frameworks like Selenium , Databases ( Postgres ) for data extraction,

transformation, and loading ( ETL ) automation

Ensure all tools are developed and documented within AWS or other centralized

platforms

3. Data Analysis and Insights Development

Collaborate with analysts to generate actionable insights from complex datasets

Oversee data workflows to ensure accuracy, consistency, and timely delivery of insights

Ensure proper data definition and governance practices, minimizing errors and

maximizing output quality

4. Collaboration and Mentorship

Work closely with developers and data analysts, fostering a culture of knowledge

sharing