Marketing Data Analyst

Insight Global; Brasil; Remote; BRL 90,000 - 130,000; Full time

Job summary

Insight Global is seeking a data analytics professional to support the Loyalty Customer Analytics team. You will analyze customer and transaction data to uncover insights that drive marketing and business decisions, including evaluating behavior, spending, profitability, and loyalty metrics.

You will develop customer segmentations, calculate customer value measures, and assess the impact of strategies, while creating reports, dashboards, and visualizations for stakeholders and partnering with

Qualifications

• Strong ability to analyze, evaluate and interpret complex data using advanced statistical, econometric and quantitative analysis techniques.
• Knowledge of quantitative theories and techniques and their role in a business context.
• Prior experience with SQL, Python, and Tableau.

Responsibilities

• Analyze customer and transaction data to uncover insights for marketing and business decisions.
• Evaluate customer behavior, spending patterns, profitability, and loyalty metrics.
• Develop customer segmentations and customer value measures.
• Assess impact of business strategies and marketing initiatives on analytics models.
• Create reports, dashboards, presentations, and visualizations for stakeholders.
• Partner with cross-functional teams to provide analytical support and recommendations.
• Leverage statistical techniques to identify purchase trends and predict future customer value.

Skills

Statistical analysis

Econometrics

Quantitative analysis

Data interpretation

Tools

SQL

Python

Tableau

Job description

This person will support the Loyalty Customer Analytics team by analyzing customer and transaction data to uncover insights that drive marketing and business decisions. On a day-to-day basis, they will evaluate customer behavior, spending patterns, profitability, and loyalty metrics to identify opportunities for growth and engagement. They will develop customer segmentations, calculate customer value measures, and assess the potential impact of business strategies and marketing initiatives. The role also involves creating reports, dashboards, presentations, and visualizations for stakeholders, partnering with cross-functional teams to provide analytical support, and leveraging statistical techniques to identify purchase trends, predict future customer value, and recommend improvements to analytics and modeling efforts.

Required Qualifications:

• Previous retail experience strongly preferred
• Proven ability to analyze, evaluate and interpret complex data using advanced statistical, econometric and quantitative analysis techniques
• Knowledge of quantitative theories and techniques and their role in a business context
• Prior experience with SQL, Python, and Tableau - Experience writing SQL queries and interpreting Skilled in translating business questions / problems into analytical models