Mid-level Data Analyst

NOMOS

Data analyst in Nomos' Data area transforming data into insights for strategic decision-making. Collaborating with business leaders to build impactful solutions.

Posted 7/14/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, SQL, and data visualization tools like Power BI, while ensuring data quality and supporting data-driven decision making across business areas. Proficient in automating data processes and contributing to data structure improvements.

Highest-signal resume keywords

Advanced SQLData AnalysisPower BIData ManipulationETL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisSQLData ManipulationData VisualizationETLData ModelingPythonAdvanced ExcelKPI DevelopmentIndicator Analysis

Soft Skills

AnalyticalOrganizedProblem-SolvingGood Communication

Tools & Technologies

Power BIAzureAWSGCPGit

Industry Keywords

Data ScienceStatisticsMathematicsEconomicsInformation Systems

Tech Stack

Tools & technologies

AWSAzureETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Develop and maintain dashboards, reports and management KPIs;
Collect, process, organize and validate datasets from different sources;
Automate processes and routines for data extraction, processing and data provisioning;
Identify trends, opportunities and deviations through indicator analysis;
Support different areas of the company in data-driven decision making;
Develop queries and analyses using SQL;
Create visualizations and executive presentations;
Ensure the quality, integrity and reliability of information;
Document processes, indicators and business rules;
Contribute to the evolution of the company's data structure, proposing continuous improvements.

Requirements

What you’ll need

Bachelor's degree completed in Engineering, Data Science, Statistics, Mathematics, Economics, Computer Science, Information Systems or related fields;
Experience with data analysis and data manipulation;
Advanced knowledge of SQL;
Advanced Excel;
Experience with Power BI or another data visualization tool;
Analytical, organized and problem-solving oriented profile;
Good communication skills and ease interacting with business areas.
**Differentials**
Knowledge of Python for data analysis;
Experience with ETL and data modeling;
Experience with cloud environments (Azure, AWS or GCP);
Knowledge of Git;
Knowledge of business metrics.

Benefits

Comp & perks

Wellhub (Gympass)
TotalPass
Starbem (telemedicine and psychological support)
Discounts at pharmacies
Annual bonus program
Partnership program