ANALISTA DADOS PL
TLDR
Drive end-to-end analytics by building dashboards, pipelines, and models with SQL, Python, and Power BI in a data-driven, cloud-first environment.
You will be responsible for developing, maintaining, and improving analytical data solutions, ensuring high-quality insights through dashboards, automation, and robust data processing. You will support business teams in leveraging data effectively while contributing to data engineering and analytics improvements across the organization.
- Develop, maintain, and optimize Power BI dashboards and reports, ensuring accuracy, performance, and usability
- Support business teams in interpreting KPIs and making data-driven decisions
- Write, optimize, and maintain SQL queries for data extraction, transformation, and analysis
- Develop Python scripts for automation, data processing, and advanced analytics
- Support data engineering teams in ingestion and transformation pipelines across Data Lake layers (Bronze, Silver, Gold)
- Monitor data quality, integrity, and consistency, identifying and resolving anomalies
- Document data models, pipelines, and business rules to ensure traceability and standardization
- Collaborate with cross-functional teams to improve data processes and analytics capabilities
- Degree in Computer Science, Engineering, Information Systems, or related fields
- Strong SQL skills for data manipulation and analysis
- Intermediate Python skills (Pandas, PySpark, automation, file processing such as Parquet)
- Experience with Power BI, including data modeling, DAX, and Power BI Service
- Familiarity with cloud environments such as Azure or GCP
- Understanding of data pipelines, ETL processes, and analytical data layers
- Strong analytical thinking and problem-solving skills
- Ability to document processes and communicate insights clearly
- Experience working in cross-functional and collaborative environments
- Experience with Azure Synapse, Databricks, or BigQuery
- Knowledge of Data Lakehouse concepts (Medallion architecture, Delta Lake)
- Exposure to GCP tools such as BigQuery, Dataflow, or Looker
- Familiarity with AI/ML concepts applied to data, including LLM APIs, predictive analytics, and automation of data workflows
- Remote-first work model within Brazil
- Opportunity to work in a large-scale, data-driven organization
- Strong focus on innovation, automation, and continuous improvement
- Exposure to modern cloud data platforms and analytics tools
- Collaborative and multidisciplinary work environment
- Career development opportunities in data and analytics
- Work with impactful business data supporting strategic decisions
- Inclusive and innovation-oriented company culture
Requirements:
You have solid experience in data analysis and analytics engineering, with strong technical skills in SQL, Python, and BI tools. You are detail-oriented, analytical, and comfortable working with cloud-based data environments and large datasets.
Nice to have:
Benefits:
Benefits
Inclusive and innovative culture
Inclusive and innovation-oriented company culture
Remote-Friendly
Remote-first work model within Brazil
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services