LATAM Senior Analytics Engineer - 21228868008

🚀 Role: Senior Analytics Engineer

📆 Schedule: M-F / 8:00 – 10:00 AM Overlap PST

📄 Type of Contract: Full Time - Independent Contractor

🚨 Only CVs in English will be considered to participate in the process ❗️

About our Client
Our client is an innovative company that drives customer growth through cutting-edge AI-powered solutions. their acquisition platform focuses on refining user intent to deliver tailored ad experiences, ensuring relevance and maximizing impact. By leveraging advanced algorithms and data-driven insights, they help businesses thrive in competitive markets. Their mission is to create meaningful connections between brands and customers, fostering sustainable growth and success. We're looking for talented individuals who are passionate about technology and eager to contribute to our dynamic, forward-thinking team.

Responsibilities

-Analyze and interpret data from various business operations to identify trends and patterns. Conduct detailed analysis of search engine marketing data, including, but not limited to keyword performance and ad spend.

-Develop, implement, and manage BI solutions to improve business processes.

-Develop and maintain analytical dashboards to monitor KPIs and provide actionable insights.

-Collaborate with cross-functional teams to gather requirements and deliver insights.

-Create and maintain comprehensive documentation for BI solutions.

-Train and support team members in utilizing BI tools and data interpretation.

-Stay updated on industry trends and advancements in data analytics and search engine marketing.

The data stack includes Python, Snowflake, DBT, Prefect.io, Preset.io, Kubernetes, Azure, and AWS to help internal teams understand the market performance developments and make business decisions every day.

Requirements

-Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or a related field.

-Minimum of 5 years experience in business intelligence and data analysis.

-Strong SQL query skills on large data sets.

-Proficiency in data visualization tools (e.g., Preset, Looker, Tableau, Power BI).

-Experience with Snowflake.
-Past experience with DBT.

-Strong understanding of statistical and machine learning techniques.

-Excellent communication skills with the ability to present complex data clearly to both technical and non-technical audiences.

-Experience with Python / R is a plus.

-Experience with digital marketing metrics (CPA, CPC, CPM, ROAS) is a plus.

-C1 English level, with excellent verbal and written communication skills (Must Have)