Data Analytics Tech Lead in Brazil, Indiana at Jobgether

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.

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.

• 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.