Mid Level Data Analyst

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

This role offers the opportunity to transform complex datasets into actionable insights that influence product strategy and business decisions. You will work at the intersection of analytics, technology, and product development within a large-scale digital ecosystem. The position focuses on building reliable metrics, understanding user behavior, and uncovering opportunities through data-driven analysis. You will collaborate closely with product, engineering, and business teams to establish strong analytical foundations. Your work will help shape mobile experiences, improve decision-making, and unlock the value of operational and telemetry data. This is an ideal opportunity for an analytical professional who enjoys solving complex problems and creating measurable impact through data.

Accountabilities:: As a Mid Level Data Analyst, you will be responsible for developing analytical solutions that support product evolution, improve data governance, and provide meaningful insights for business and technical stakeholders. You will help define metrics, analyze user behavior, and build reporting structures that enable smarter decisions.

Define and document product metrics, including engagement, retention, conversion, and churn KPIs, ensuring consistency across analytical views.

Analyze user behavior through conversion funnels, cohort analysis, segmentation, and usage patterns to generate actionable recommendations.

Investigate user drop-off points by connecting behavioral data with product issues, bugs, and usability challenges.

Participate in agile product ceremonies by contributing analytical perspectives to planning, reviews, and decision-making processes.

Develop initial analytical models using vehicle telemetry and operational data to identify relevant usage patterns.

Collaborate with data engineering teams to define tracking events, data structures, and pipelines needed for product analytics.

Build and maintain dashboards and reports focused on usability and decision-making for product, engineering, business, and leadership teams.

Present insights clearly by distinguishing proven findings, possible trends, and areas requiring further investigation.

Ensure data quality, validate sources, and document analytical processes, methodologies, and metric definitions.

Requirements:

The ideal candidate combines strong analytical skills, technical expertise, and business understanding to turn data into strategic recommendations. This role requires curiosity, structured thinking, and the ability to collaborate with multidisciplinary teams.

Proven experience with digital product analytics, including engagement metrics, funnels, cohorts, retention, conversion, and churn analysis.

Strong SQL skills for data exploration, transformation, validation, and analysis in relational or column-based environments.

Practical experience with cloud data platforms such as AWS S3, Athena, Redshift, or equivalent technologies.

Ability to create clear, decision-oriented dashboards adapted to technical and business audiences.

Familiarity with analytical modeling concepts, derived metrics, aggregations, and data consistency practices.

Experience working in agile product environments alongside development, product, and UX teams.

Intermediate English skills for reading technical documentation.

Structured analytical mindset with the ability to explore data while maintaining focus on relevant business questions.

Strong communication skills, especially when explaining uncertainty and translating insights into business impact.

Experience with IoT, telemetry, sensors, or connected device data is a plus.

Familiarity with mobile analytics tools such as Firebase Analytics, Amplitude, Mixpanel, or similar platforms is advantageous.

Ability to use Python or R for exploratory analysis, automation, and advanced data manipulation is a plus.

Knowledge of dimensional modeling, Data Vault, applied statistics, A/B testing, confidence intervals, or statistical significance analysis is beneficial.

Experience in automotive, mobility, connected vehicles, or related industries is considered an advantage.

Benefits:

Health and dental insurance coverage.

Meal and food allowance benefits.

Childcare assistance.

Extended parental leave.

Access to fitness, health, and wellness partnerships.

Profit-sharing program.

Life insurance.

Continuous learning opportunities through internal training platforms.

Discounts through partner programs.

Online resources focused on physical health, mental health, and well-being.

Parenting and family support programs.

Access to online courses and language learning platforms.

Additional benefits designed to support professional growth and employee well-being.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1