Data Analyst

Description

Job Summary: We are seeking a Data Analyst for a HealthTech company that democratizes access to healthcare, with a focus on data extraction, processing, and visualization to generate practical insights and support data governance. Key Highlights: 1. Nationally recognized HealthTech in health and technology 2. Democratizing access to healthcare through innovation 3. A passionate, empathetic, dynamic, and integrity-driven culture We are **TopMed**! A nationally recognized HealthTech leader in healthcare and technology—highly adaptable, with a pioneering vision focused on democratizing access to healthcare for millions of people in both public and private sectors. We deliver technology, technical expertise, and quality through our solutions. We are passionate, empathetic, dynamic, and integrity-driven. Responsibilities: * Access and extract data from multiple databases and systems (e.g., ERP, CRM, financial, operational, care/service, 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 coordination with responsible business areas and/or IT); * Create and maintain Power BI reports and dashboards following corporate standards (layout, naming conventions, filters, refresh frequency); * Ensure report updates and availability (automated routines and failure monitoring); * Translate data into simple insights and practical recommendations for managers and stakeholders; * Document processes (extraction, transformation, metric definitions, data dictionary, and business rules); * Support data governance (standards, policies, compliance, and best practices); * Collaborate with senior analysts/data engineering teams when centralization and integration of data sources are required. Requirements: Requirements: * Intermediate SQL (SELECT, JOINs, grouping, filtering; creation/maintenance of queries for BI databases). * Power BI (report creation, basic modeling, filters, simple measures; dashboard organization by audience). * Proficient 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 between tables. * Familiarity with KPIs and performance indicators. * Basic knowledge of data governance/data quality and documentation discipline. * Clear communication skills to translate data into practical recommendations. * Experience with CRM (e.g., HubSpot) and funnel/sales metrics. * Experience with integrations (APIs, connectors, ETL/ELT) and/or data environments (DW/Lake). * Experience with corporate indicator standardization (data dictionary and metric catalog). * Knowledge of LGPD and best practices for data security/access control. * Background in healthcare, wellness, or technology companies. * Experience with automation and version control (Git).