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ANALYTICS ENGINEER

Indeed
Full-time
Onsite
No experience limit
No degree limit
R. Lourenço Kanzler, 636 - Vila Lenzi, Jaraguá do Sul - SC, 89252-240, Brazil
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Description

Job Summary: The professional will structure and execute strategic data deliveries, build reliable analytical models, and ensure data quality and consistency. Key Highlights: 1. Structure and execute strategic data deliveries 2. Build reliable, scalable, and standardized analytical models 3. Ensure data quality, consistency, and traceability **Job Description:** ---------------------- \- Structure and execute strategic data deliveries, focusing on the Intelligence Engine and Tax Predictability; \- Build reliable, scalable, and standardized analytical models; \- Ensure data quality, consistency, and traceability; \- Connect data ingestion, modeling, and consumption to support BI and future Artificial Intelligence initiatives; \- Implement standardized corporate analytical layers and metrics; \- Develop and apply data quality and consistency controls; \- Provide structured technical support to the area's strategic initiatives; \- Support organization, documentation, and standardization of analytical engineering practices. **Mandatory Requirements:** ------------------------------ * Bachelor's degree in Engineering, Computer Science, Information Systems, Statistics, Mathematics, Administration, or Accounting, with emphasis on Data or Analytics; * Minimum 3–4 years of experience in Data, Analytics, or Data Engineering; * Practical experience in analytical and dimensional data modeling; * Experience in foundational or strategic data projects; * Advanced SQL; * Experience with data pipelines (ETL/ELT); * Knowledge of code versioning (Git); * Experience with BI tools (Power BI or similar); * Knowledge of data quality, consistency, and traceability; * Python applied to analytical automation and monitoring; * Clear communication with technical and business teams; * Ability to organize, prioritize, and manage multiple concurrent initiatives. **Desirable Requirements:** -------------------------- * Specialization or postgraduate degree in Data, Analytics, or related fields; * Experience in highly complex environments with multiple stakeholders; * Experience in medium- and long-term projects; * Systemic vision and structured thinking; * Collaborative, proactive profile with a strong sense of responsibility; * Interest in future progression toward Data Science and Applied Artificial Intelligence. **Employment Type:** -------------------------- PJ **PCD:** -------- NO **Benefits:** --------------- Attractive: * Flexible working hours; * 30 days of annual leave; * Extended maternity and paternity leave; * Unlimited pediatric consultations for children; Compensation and Recognition * Performance bonus; * Global target; * Structured career development plan; * Year-end bonus; * Day off; * Longevity award. Health and Well-being * Gympass; * 100% company-paid health insurance; * Free accounting and legal advisory services; * Pharmacy and aesthetic clinic discounts; * 100% reimbursement for public transportation. Development and Organizational Culture * Access to the Tax Strategist platform for continuous learning; * Training, course, and degree tuition assistance (30%); * Continuous feedback culture. Extras and Perks * Complimentary coffee throughout work hours; * Gifts on special occasions; * iFood available at any time of day; * Professional photos taken by Studio Save. **Work Location:** ---------------------- SAVE TECNOLOGIA **Working Hours:** ------------------------ STANDARD WORK SCHEDULE

Source:  indeed View original post
João Silva
Indeed · HR

Company

Indeed
João Silva
Indeed · HR

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