




We are Qeevo, an Aspiration Tech ecosystem that connects education, personal development, and real-world consumption. Our products impact millions of people every year, helping students find affordable learning opportunities and unlocking pathways for continuous development. The Data / Business Intelligence (BI) team exists to transform data into decisions: reliable metrics, actionable insights, and visibility into what truly drives revenue, margin, conversion, and operational efficiency. The mission of the Data Manager (Business BI focus) is to elevate the clarity, standardization, and trustworthiness of the company’s numbers—ensuring business units have autonomy (self-service) without compromising governance and consistency. **RESPONSIBILITIES** * Own business metrics: define, standardize, and ensure consistency across departments (Product, Marketing, Sales, Operations, Finance). * Build and maintain semantic layers / analytical models (tables, views, marts) that enable BI and recurring analyses. * Develop and review complex SQL queries (joins, window functions, CTEs, incremental logic, optimization), ensuring performance and reliability. * Create and evolve executive dashboards and reports with storytelling and decision-making focus (not just visualization). * Lead backlog prioritization for BI in collaboration with stakeholders: align on scope, timelines, impact, and success criteria. * Implement data quality routines: validation checks, reconciliations, metric monitoring, and anomaly alerts. * Document definitions and assets: data dictionary, business rules, sources, assumptions, and limitations. * Promote self-service with governance: guides, SQL templates, naming conventions, and best practices. * Collaborate with Data Engineering as needed to improve data sources, instrumentation, and pipelines—ensuring data is “born right.” * Support strategic analyses (deep dives): root causes of variance, segmentation, cohort analysis, elasticities, and opportunities. **REQUIREMENTS** * Advanced SQL (very strong): mastery of CTEs, window functions, subqueries, complex joins, aggregations, and query optimization for performance and reliability. * Solid experience in Business BI: defining metrics, building and maintaining dashboards/reports, and delivering recurring analyses for decision-making. * Knowledge of growth/performance metrics (attribution, CAC/LTV, cohorts, retention, channel-level conversion), including ability to define calculation rules, validate consistency, and explain variations. * Hands-on experience with Data Warehouse/Lakehouse and analytical modeling (fact/dimension tables, domain-specific marts, semantic layer). * Experience with BI/Data Visualization tools (e.g., Looker/Looker Studio, Power BI, Tableau, Metabase, Superset, or similar). * **Ability to translate business needs into clear data solutions, with strong stakeholder management and communication skills.** **PREFERRED QUALIFICATIONS** * Experience with dbt (or analytics engineering practices): version control, testing, documentation, and modeling best practices. * Experience with event instrumentation (tracking) and standardization of events/metrics. * Applied knowledge of data quality/observability (checks, monitoring, alerts, SLAs). * Familiarity with LGPD and data security in analytical contexts (access controls, sensitive data handling, governance). Experience with experiments / A/B testing and basic statistical interpretation. **BENEFITS:** * Health insurance (Bradesco, Policlin, or Santa Casa) * Dental plan (Uniodonto) * On-site cafeteria at Quero with delicious lunch * Education support: waiver of pre-enrollment fees for Quero Bolsa courses, 100% tuition discount for UFBRA online undergraduate programs, and free access to the Allevo platform for professional development. * Discounts on the New Value platform, offering over 25,000 products and 600 active deals * PLR (Profit and Results Sharing) based on individual and company goals * Psychotherapy support * Birthday day off * Wellhub * Extended maternity leave * Extended paternity leave


