Analista de Dados Pl - Process Mining

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Analista de Dados Pl - Process Mining in Brazil.

This role is focused on transforming complex data into actionable insights through advanced analytics, process mining techniques, and business intelligence solutions. You will be responsible for collecting, processing, and integrating data from multiple sources to support decision-making and process optimization initiatives. Working in a fast-paced and highly collaborative environment, you will design and build BI solutions, develop integrations across platforms, and ensure high data quality standards. The position requires strong analytical thinking and the ability to translate business requirements into robust data models and KPIs. You will also play a key role in validating data pipelines and ensuring the reliability of analytical outputs. This is a hands-on technical role that combines data engineering, analytics, and storytelling to drive measurable business impact.

Accountabilities:* Collect, process, and load data from diverse internal and external sources to support analytical and process mining initiatives.

• Gather and translate business requirements from stakeholders into data models, KPIs, and analytical solutions.

• Develop integrations between platforms and support the construction of end-to-end BI and analytics solutions.

• Ensure data quality through rigorous validation, testing, and review of datasets and pipelines.

• Build and enhance dashboards and BI platforms using tools such as Power BI and Tableau.

• Support ETL processes and data transformation workflows across cloud and analytics environments.

• Contribute to data governance, ensuring consistency, reliability, and accuracy of analytical outputs.

Requirements:

• Strong experience with Object-Oriented Programming (OOP) and advanced data manipulation using Pandas and SQL.

• Solid knowledge of Excel and ability to work with complex datasets in fast-paced environments.

• Experience in building KPIs and supporting data-driven decision-making processes.

• Familiarity with ETL tools and platforms such as BigQuery or SAS, as well as cloud environments.

• Experience with data integration, pipeline validation, and requirements gathering with stakeholders.

• Knowledge of Agile, prototyping, and waterfall development methodologies.

• Experience with BI tools such as Power BI and Tableau is highly desirable.

• Familiarity with PySpark, HTTP requests, and statistical concepts is a plus.

• Strong communication skills and ability to perform data storytelling to non-technical audiences.

• English proficiency and strong analytical mindset are highly valued.

Benefits:

• Flexible benefits program including travel points for flights and accommodation (All Points).

• Medical and dental assistance coverage.

• Life insurance and pet care assistance.

• Mobility benefits including fuel support and ride-hailing options.

• Flexible reimbursement for education, wellness, glasses, events, and more.

• Meal or food allowance.

• Birthday day off and wellness programs such as Gympass.

• Financial consulting support and access to credit facilities.

• Discounts through partner clubs and retail networks.

• Extended parental leave and childcare assistance benefits.

• Annual bonus program and referral incentives.

• Strong learning culture with mentorship, training programs, and personalized development plans.

**How Jobgether works:**We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1