Top Data Analyst Jobs in Fortaleza

Work with real-world datasets to clean, transform, and analyze data using Python and spreadsheets; perform exploratory analysis, develop data models, support client reporting, and communicate insights to cross-functional teams to drive e-commerce decisions.

The Sr Data Analyst at Dynatrace supports clients by driving insights from Digital Experience data, managing complex accounts, and mentoring team members.

The role focuses on developing reporting functions and measuring media performance, transforming data using Snowflake, dbt, and analyzing with R or Python.

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

Build and maintain analytics data models, dashboards, and reports. Use SQL (Postgres, Trino, Iceberg) and dbt to power financial metrics. Perform deep-dive analyses using SQL and Python (Jupyter, Pandas) to answer business questions, operationalize data, and improve reporting and automation.

Collaborate with data engineering, analytics, finance, and accounting to transform, test, document, and deploy clean data. Build and maintain models, KPIs, dashboards, and reporting solutions using dbt, Snowflake, Tableau, and CI/version control. Improve data quality, establish business definitions, mentor analysts, and communicate technical work to non-technical stakeholders while covering Central Time Zone hours.

Partner with Growth, Marketing, and Product to analyze acquisition-to-revenue funnels, run and support experiments, build dashboards, improve data quality, and automate analyses using SQL, product analytics tools, and AI-assisted workflows to drive PLG growth.

Provide data analysis and reporting as a virtual assistant: create and maintain reports, perform data entry and validation, generate visual insights, collaborate with stakeholders, track action items, and improve workflows to optimize reporting efficiency.

The Product Data Analyst at SafeGraph will improve data quality, manage AI-powered initiatives, and enhance product offerings while collaborating with various teams internally.

As a Data Analyst, you will deliver data solutions, optimize data pipelines, and provide actionable insights while collaborating closely with team members and stakeholders.

As a Data Analyst, develop data standards, create dashboards, provide insights, consult with stakeholders, and enhance operational processes within Wellhub's Partner Data & Insights team.

The Data Analyst will build key data models and metrics for decision-making, partner with stakeholders for analytical insights, create datasets for self-service reporting, and ensure data reliability through quality checks.

The Lead Data Analyst will document technical systems, collaborate with engineering teams, manage SME availability, and produce clear, structured documentation.

Analyze billing performance, build and maintain data pipelines, run A/B tests, apply statistical forecasting and scenario modeling, collaborate with cross-functional teams, and provide recommendations to reduce risk, disputes, churn, and operational inefficiencies.

The Data Analyst will design interactive dashboards, model data, perform ETL processes, and collaborate with teams to enhance data-driven decisions using Power BI.

The Marketing Data Analyst will analyze and optimize paid media investments, maintain dashboards, and provide actionable recommendations for marketing channels like SEM and Meta.

The Data Analyst Specialist will optimize CX performance by analyzing data, providing insights, and collaborating with teams to improve operations and achieve goals.

The Revenue Operations Data Analyst will analyze datasets, optimize dashboards, and develop data pipelines to support revenue operations and strategic decision-making.

Develop analytics solutions, collaborate on requirements, manage data quality, and create visualizations while improving reporting and platforms.

Build, maintain, and optimize data pipelines and ETL integrations (BigQuery, Fivetran, dbt). Design automations (n8n/Zapier/Make), ensure data quality and system reliability, document workflows, troubleshoot pipeline issues, and translate business needs into scalable systems to eliminate manual work.

Manage the end-to-end data issue lifecycle for North America: intake, triage, root cause analysis, remediation planning and execution oversight. Produce IMR reporting and dashboards, maintain audit-ready records, engage stakeholders, and improve IMR processes and tooling to strengthen data quality and controls.

The Senior Data Analyst will manage subscription billing analytics, optimize queries in ClickHouse, and create dashboards for stakeholders. Responsibilities include data pipeline maintenance and anomaly investigation.

Build high-impact dashboards, conduct advanced analyses and attribution models, and translate complex datasets into actionable business insights. Own cross-functional KPI frameworks and analyze product-led growth funnels from sign-up through monetization to inform marketing, product, and revenue decisions.

Own Growth analytics end-to-end: build and maintain production data pipelines and dbt models, define north-star metrics and dashboards, design and run A/B experiments using causal inference, embed LLM/GenAI tooling, and translate insights into strategic recommendations for leadership.

The Senior Data Analyst will design and maintain reporting structures in Tableau, manipulate data using Python and SQL, and present insights to business stakeholders.