Analista De Dados - Segmento Varejista

Jobgether SRL; Brasil; Híbrido; BRL 60 000 - 120 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Meal allowance

iFood benefit

Home office support

Health insurance

Dental plan

Birthday off

Life insurance

Extended parental leave

Educational partnerships and learning

Wellness partnerships

Reimbursement programs

Flexible working hours

Casual dress code

Resumo da oferta

A Jobgether, empresa de varejo online, busca Analista de Dados para apoiar o ecossistema de e-commerce, web e app, transformando dados complexos em insights acionáveis que orientam investimentos em marketing, jornadas do cliente e eficiência operacional.

Você trabalhará com equipes multifuncionais, utilizando SQL, GA4, Databricks e BI para criar dashboards e relatórios executivos, contribuindo para ROI, ROAS e decisões estratégicas em um ambiente ágil e orientado por experimentos.

Qualificações

• Experiência em analytics dentro de ambientes de e-commerce e mídia paga.
• Conhecimento sólido de métricas de desempenho (ROI/ROAS, CPA, conversão).
• Familiaridade com GA4, Databricks e ferramentas de BI para relatórios e visualização.

Responsabilidades

• Transformar dados em insights que guiem crescimento e eficiência.
• Analisar performance de mídia paga e comportamento do usuário em web/app.
• Gerar insights para melhorar campanhas e alocação de mídia.
• Construir dashboards e relatórios executivos para visibilidade do negócio.
• Trabalhar com fontes de dados como GA4, Databricks e plataformas de mídia.

Conhecimentos

SQL

Analytical thinking

Communication

Cross-functional collaboration

Data storytelling

ROI/ROAS understanding

Ferramentas

Databricks

GA4

BigQuery

Power BI

Descrição da oferta de emprego

Analista de Dados - Segmento Varejista

Empresa : Jobgether Tipo de Emprego : Periodo Integral Brazil

Descrição do Emprego - Analista de Dados - Segmento Varejista

This role is an exciting opportunity for a data-driven professional to directly influence the performance of a fast-growing e-commerce ecosystem across web and app channels. You will transform complex datasets into actionable insights that shape marketing investments, optimize customer journeys, and improve overall business efficiency. Working at the intersection of analytics, media performance, and product behavior, you will collaborate closely with cross-functional teams to support high-impact decision-making. The environment is highly collaborative, agile, and focused on experimentation and continuous improvement. You will work with multiple data sources and modern analytics tools to uncover growth opportunities and performance gaps. Your insights will directly support ROI optimization, acquisition efficiency, and long-term business scalability. This is a role for someone who enjoys turning data into strategic direction in a dynamic digital retail context.

Accountabilities:

In this role, you will be responsible for transforming data into insights that drive growth and efficiency across digital retail and e-commerce operations.

• Analyze paid media performance and user behavior across app and web environments to identify optimization opportunities.
• Generate actionable insights to improve campaign performance, media allocation, and investment decisions.
• Build and maintain dashboards and executive-level reports to support business visibility and decision-making.
• Work with multiple data sources such as GA4, Databricks, and media platforms to ensure data consistency and depth of analysis.
• Support strategic decisions focused on growth, efficiency, and improved ROI/ROAS across digital channels.

Requirements

We are looking for a professional with strong analytical capability, hands-on experience in digital performance environments, and a solid technical foundation in data tools.

• Proven experience in analytics within e-commerce and paid media environments.
• Strong knowledge of SQL and data platforms, with Databricks experience considered a strong plus.
• Hands-on experience with Google Analytics (GA4) and digital tracking ecosystems.
• Experience with BI tools such as Power BI or similar platforms for reporting and visualization.
• Solid understanding of performance marketing metrics such as ROI, ROAS, CPA, and conversion indicators.
• Familiarity with A/B testing, experimentation, attribution modeling, and incremental analysis is a plus.
• Exposure to BigQuery and media platforms is considered a strong advantage.
• Strong analytical thinking, problem-solving ability, and attention to detail.
• Ability to communicate insights clearly and collaborate with cross-functional teams.

Benefits

• Meal and food allowance (iFood benefit)
• Home office support allowance
• Health insurance coverage
• Dental plan coverage
• Birthday day off
• Life insurance
• Extended maternity and paternity leave
• Educational partnerships and learning support
• Wellness partnerships (TotalPass and Clude Saúde)
• Reimbursement programs for eligible expenses
• Flexible working hours
• Casual dress code and flexible work culture.