Data Analyst – Senior Consultant

TIM Brasil

Data Analyst responsible for capturing and analyzing large data sets for business insights in a hybrid work environment.

Posted 6/30/2026full-timeSão Paulo • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudGoogle Cloud PlatformPythonRPASQLTableau

About the role

Key responsibilities & impact

Capture, analyze and interpret large volumes of data.
Develop data models to support decision-making.
Support the identification of behavioral patterns to address business needs and generate value.
Provide statistical guidance on operational trends, measuring results and comparisons.
Identify and validate insights.
Prepare continuous reports focused on opportunities to improve business results.
Generate indicators, metrics and KPIs.
Guide and support the definition of KPIs.
Contribute to the dissemination of a data-driven decision culture across the company, acting as an interface between technical teams and business areas.
Collaborate in discussions related to the Big Data platform.
Structure, organize and integrate internal and external datasets, ensuring the quality and reliability of information.
Develop and maintain automations and Python bots for data collection, processing and provisioning.
Create and enhance dashboards and reports in Power BI and Excel, with a focus on producing business insights.
Serve as the data focal point for the area, ensuring consistency, governance and accessibility of information.
Support business areas in the analysis and interpretation of indicators, translating data into actions.
Identify and propose continuous process improvements with a focus on automation, efficiency and scalability.

Requirements

What you’ll need

Knowledge of Python applied to automation, data processing and integration.
Big Data and Data Analytics.
Advanced Excel (macros, pivot tables, complex formulas).
Data analysis and exploration tools (SAS, Data Studio, KNIME, Google Analytics, Google Tag Manager, etc.).
Data visualization tools (Power BI, Tableau, Qlik, etc.).
Knowledge of cloud data solutions (GCP, Azure, OCI, etc.).
Research, testing and metrics tools (Supermetrics, etc.).
Project management.
Preferred: Knowledge of SQL and relational databases.
Solid experience in data manipulation, analysis and integration.
Experience with Power BI (data modeling, DAX, dashboard development).
Experience consuming APIs and integrating multiple data sources.
Experience with process automation (RPA or structured scripts).
Experience or interest in applying generative AI to data and automations.
Experience in cloud environments (e.g., GCP, GCS, Office 365 Suite).
Bachelor's degree in Business Administration, Engineering, Computer Science, Information Systems or related fields.

Benefits

Comp & perks

Medical and dental insurance.
Pharmacy benefit.
Gympass.
Meal and/or food allowance.
Transportation allowance.
Private pension plan.
Company-issued mobile phone with unlimited internet and voice plan.
Online English course extendable to one family member or friend.
Internal training and development program.
Profit sharing.
"My First Benefit" – assistance for children up to 2 years old.
Daycare reimbursement (for parents).
Flexible work models and schedules.
Happy Day – day off during the employee's birthday month.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data AnalysisData IntegrationData ManipulationKPI DevelopmentProcess AutomationStatistical AnalysisData VisualizationCloud Data SolutionsAdvanced ExcelAPIs Integration

Soft Skills

CollaborationCommunicationProblem-SolvingProject Management