Operations Data Analyst

Description

Job Summary: We are seeking a data-passionate professional to join a HealthTech that democratizes access to healthcare, focusing on data extraction, processing, and visualization to optimize operations and create meaningful impact. Key Highlights: 1. National reference HealthTech in health and technology 2. Democratize access to healthcare for millions of people 3. Make a difference in people's lives We are TopMed! A nationally recognized HealthTech in the health and technology sector, highly adaptable and with a pioneering vision focused on democratizing access to healthcare for millions of people in both public and private sectors. Our solutions deliver technology, technical expertise, and quality. We are passionate, empathetic, dynamic, and integrity-driven. If you identify with us, join TopMed and make a difference in people's lives! Responsibilities: * Access and extract data from multiple databases and systems (e.g., ERP, CRM, financial, operational, customer service/clinical, spreadsheets, and APIs), ensuring traceability of sources; * Develop and maintain SQL queries (views, joins, aggregations) to generate reliable datasets; * Perform data cleaning, validation, standardization, and organization (data quality); * Identify inconsistencies and discrepancies across data sources and propose corrections (in collaboration with responsible departments and/or IT); * Create and maintain Power BI reports and dashboards following corporate standards (layout, naming conventions, filters, refresh frequency) Requirements: * Intermediate SQL (SELECT, JOINs, grouping, filtering; creation/maintenance of queries for BI datasets); * Power BI (report creation, basic modeling, filters, simple measures; dashboard organization by audience); * Solid Excel (formulas, pivot tables, data organization and validation); * Basic/intermediate Python for data (pandas/numpy, data processing and automation); * Ability to access and integrate multiple data sources and understand relationships among tables; * Familiarity with KPIs and performance indicators for call centers; * Basic knowledge of data governance/data quality and documentation discipline; * Clear communication skills to translate data into practical recommendations; * Experience with integrations (APIs, connectors, ETL/ELT) and/or data environments (DW/Lake); * Experience with corporate indicator standardization (data dictionary and metrics catalog); * Knowledge of LGPD and best practices for data security/access; * Experience in call center or telehealth operations Work modality: On-site Address: Rua Sebastião Furtado Pereira, nº 60, 10th floor – Tower II – Barreiros, São José – SC, 88117\-400 Join us as a MedLover!