Measurement Analytics Strategist

Power Digital; Mexico; Hybrid; PHP 4,375,000 - 6,875,000; Full time

Job summary

Power Digital is an AI-Native Growth Firm dedicated to helping brands grow through data-driven strategies and AI-powered insights. You will manage and optimize modern measurement strategies for marketing campaigns, including experimentation and attribution-based approaches.

The ideal candidate has 2+ years in marketing analytics, strong visualization skills, and proficiency in R, Python, and SQL, with excellent communication and collaboration in a fast-paced environment.

Qualifications

• Bachelor's degree in Marketing, Business Administration, or related field.
• 2+ years of experience in marketing analytics.
• Strong data visualization skills using Looker, Tableau, PowerBI, or Excel.
• Proficiency in R or Python, and SQL.
• Experience with ETL tools, such as Funnel.io and Fivetran.
• Excellent communication and presentation skills.
• Experience with digital data collection tools (GA4, Google Tag Manager, Adobe Analytics).
• Experience with ad platform reporting and data systems.

Responsibilities

• Utilize large amounts of data to identify meaningful performance insights or opportunities for improvement using R, SQL and Python.
• Communicate findings to internal PD stakeholders simply and eloquently, always leading to a “so what” and recommended action.
• Stats-based performance forecasting.
• Employ AI technologies to enhance and optimize business processes.
• Utilize and leverage Power Digital's Nova ecosystem as it relates to your department.

Skills

Data analysis

Communication skills

Presentation skills

Teamwork

Self-motivation

Education

Bachelor's degree in Marketing or related field

Tools

Looker

Tableau

PowerBI

Excel

R

Python

SQL

Funnel.io

Fivetran

Job description

Power Digital is an AI-Native Growth Firm dedicated to helping brands grow through data-driven strategies and AI-powered insights. You will manage and optimize modern measurement strategies for marketing campaigns, including experimentation and attribution-based approaches.

The ideal candidate has 2+ years in marketing analytics, strong visualization skills, and proficiency in R, Python, and SQL, with excellent communication and collaboration in a fast-paced environment.