Senior Customer Experience Analyst

Jobtailor

São Paulo

Presencial

BRL 120 000 - 240 000

Tempo integral

Há 2 dias

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Resumo da oferta

Jobtailor is seeking a senior data analytics professional to lead customer intelligence initiatives in São Paulo. You will analyze customer behavior, build segments, and translate data into strategic recommendations for growth and retention.

You'll create dashboards in Power BI/Tableau/Looker, monitor metrics like CAC and LTV, and collaborate with Data, Product, Sales, Planning and Technology teams to foster a data-driven culture.

Qualificações

Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, Data Science, Business Administration, or a related field.
Strong experience in Analytics, Business Intelligence, Customer Intelligence, Sales Intelligence, Strategic Planning, or related areas.
Strong analytical skills and experience interpreting large volumes of data.
Experience building customer segments, conducting behavioral analyses, cluster analyses, and cohort studies
Experience defining and tracking metrics such as CAC, LTV, Churn, Retention, Profitability, and Lifetime Value
Advanced SQL skills for data extraction and manipulation
Experience building dashboards and management visualizations in Power BI, Tableau, Looker, or similar tools
Ability to translate complex analyses into strategic, actionable recommendations
Excellent communication skills and ability to present insights to executive audiences
Self-directed, proactive, investigative, and problem-solving mindset
Preferred: experience in financial institutions, banks, fintechs, or data-driven companies
Preferred: knowledge of statistical models, advanced analytics, and predictive modeling techniques

Responsabilidades

Build analyses of customer base behavior and evolution to derive strategic insights.
Develop segmentation models using transactional and customer data.
Create dashboards and executive reporting to monitor segment performance.
Define metrics like CAC, LTV, Churn, and Retention and track them.
Conduct exploratory, diagnostic, and predictive analyses to identify trends.
Collaborate with Data, Product, Sales, Planning, and Tech teams to promote data-driven decisions.

Conhecimentos

Advanced SQL Skills

Customer Segmentation Development

Metric Tracking (CAC, LTV, Churn)

Dashboard Visualization

Analytical Thinking

Data-driven decision making

Behavioral Analysis

Cluster Analysis

Cohort Studies

Data Manipulation

Excellent Communication

Problem-Solving Mindset

Self-Directed

Proactive

Investigative

Formação académica

Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, Data Science, Business Administration, or related field

Ferramentas

Power BI

Tableau

Looker

SQL

Descrição da oferta de emprego

Build advanced analyses of customer base behavior, profiles, and evolution, transforming data into strategic business insights
Develop and enhance segmentation models using transactional, financial, behavioral, and customer master data
Create dashboards, executive reporting panels, and analytical frameworks to monitor customer base and segment performance
Develop matrices, studies, and analyses to identify opportunities for growth, retention, monetization, and increased customer engagement
Define, monitor, and enhance strategic customer and product metrics, such as CAC, LTV, Churn, Retention, Average Revenue, Profitability, Share of Wallet, and Value Generated by Segment
Conduct exploratory, diagnostic, and predictive analyses to identify trends, behavioral patterns, and business opportunities
Develop customer lifecycle, segment migration, portfolio evolution, and retention studies
Produce profitability and economic potential analyses for customer segments to support strategic decisions
Serve as a subject-matter expert in customer intelligence by structuring data-driven hypotheses, analyses, and recommendations
Ensure methodological consistency in the development and evolution of segments, metrics, and analytical criteria used across the organization
Influence executive decision-making through quantitative insights and evidence-based recommendations
Work cross-functionally with Data, Product, Sales, Planning, and Technology teams to foster a data-driven decision-making culture

Requirements

Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, Data Science, Business Administration, or a related field
Strong experience in Analytics, Business Intelligence, Customer Intelligence, Sales Intelligence, Strategic Planning, or related areas
Strong analytical skills and experience interpreting large volumes of data
Experience building customer segments, conducting behavioral analyses, cluster analyses, and cohort studies
Experience defining and tracking metrics such as CAC, LTV, Churn, Retention, Profitability, and Lifetime Value
Advanced SQL skills for data extraction and manipulation
Experience building dashboards and management visualizations in Power BI, Tableau, Looker, or similar tools
Ability to translate complex analyses into strategic, actionable recommendations
Excellent communication skills and ability to present insights to executive audiences
Self-directed, proactive, investigative, and problem-solving mindsetPreferred: experience in financial institutions, banks, fintechs, or data-driven companies
Preferred: knowledge of statistical models, advanced analytics, and predictive modeling techniques

Core Competencies

Demonstrates expertise in customer intelligence through advanced analytics, segmentation modeling, and metric tracking, with a strong ability to translate data into strategic insights for executive decision-making. Proficient in utilizing tools like SQL and Power BI to create impactful dashboards and visualizations that drive business growth and customer engagement.

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