Data Analytics Tech Lead

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Analytics Tech Lead based in Brazil.

This role offers the opportunity to lead the evolution of data analytics capabilities within a fast-growing technology environment.
You will act as a bridge between business needs, customer challenges, and technical data solutions.
The position combines technical leadership, analytics expertise, and people development to drive impactful decisions.
You will guide a team of data analysts while ensuring high-quality dashboards, metrics, and insights.
Working closely with product and business teams, you will help transform complex data into actionable outcomes.
This is an opportunity for a senior analytics professional who enjoys solving problems, mentoring others, and building scalable data practices.

As a Data Analytics Tech Lead, you will be responsible for guiding the analytics team, improving data-driven decision-making, and ensuring technical excellence across data initiatives. You will collaborate with multiple stakeholders to translate business objectives into reliable metrics, analyses, and solutions.

• Evaluate and prioritize analytics demands with the data team, considering complexity, effort, business impact, and delivery expectations.
• Support communication between product teams and data analysts by ensuring alignment on scope, timelines, feasibility, and technical requirements.
• Provide technical guidance and mentorship to data analysts working on dashboards, analyses, and data layers.
• Conduct regular one-on-one meetings to support team development, performance tracking, and career growth.
• Act as a senior technical reference for the analytics team, supporting day-to-day decisions and problem-solving.
• Ensure customer needs are accurately translated into relevant metrics, KPIs, and analytical requirements.
• Review and guide complex exploratory and ad hoc analyses, including cohorts, funnels, segmentation, performance variations, and root cause investigations.
• Define and maintain standards for semantic layers, metric definitions, business rules, dimensions, and team documentation.
• Establish best practices for data visualization, analytical quality, and consistency across deliverables.

Requirements:

The ideal candidate is an experienced analytics professional with strong technical foundations, leadership capabilities, and the ability to connect technical solutions with business objectives.

• Solid experience with Python (including pandas, numpy, and notebooks) and SQL.
• Previous experience managing, mentoring, or leading data professionals or analytics teams.
• Ability to evaluate technical complexity, prioritize initiatives, and manage stakeholder expectations.
• Strong communication skills with the ability to explain technical concepts to both technical and business audiences.
• Knowledge of descriptive statistics and basic statistical inference concepts.
• Experience applying software engineering best practices, including Git version control, documentation, and code refactoring.
• Intermediate English proficiency.
• Experience applying AI tools and solutions to data workflows is a plus.
• Experience working with retail businesses, medium or large customers, or customer-facing analytics projects is a plus.
• Knowledge of dimensional modeling, semantic data layers, ETL/orchestration tools such as Airflow, and non-relational databases is desirable.

Benefits:

• Fully remote work model, providing flexibility to work from home.
• Contractor (PJ) engagement model.
• Flexible meal and food allowance of R$ 1,100 through a multi-purpose benefits card, also usable for mobility, culture, health, and education.
• Fully company-paid health insurance with no co-payment.
• Fully company-paid dental insurance with no co-payment.
• Access to wellness programs to support physical and mental health.
• Incentives focused on learning, reading, and continuous development.
• Opportunity to contribute to an innovative AI-driven platform transforming how organizations use data.
• Collaborative environment with opportunities for professional growth and impact.