- Company: Get A Job.ai
- Location: Brazil
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential AI technology organization in their search for an experienced Data Analyst based in Brazil. Our client is seeking a professional who can transform complex datasets into actionable business intelligence through advanced analytics, visualization, and reporting. This is a remote, full-time position offering the opportunity to work with cutting-edge data platforms and contribute to meaningful data-driven initiatives.
Responsibilities
- Gather, interpret, and analyze large and complex datasets from multiple sources including databases, spreadsheets, and APIs to support business requirements
- Perform data cleaning and preprocessing to ensure accuracy, consistency, and completeness, handling missing values and transforming data into suitable formats
- Apply statistical techniques and analytical methods using SQL, Python, and specialized software to identify patterns, trends, and insights
- Design, build, and maintain dashboards and visual representations using tools like SnowSight and Power BI to communicate findings effectively
- Create comprehensive reports, slide decks, and presentations that translate complex data into clear recommendations for non-technical stakeholders
- Ensure data governance, quality assurance, accuracy, and integrity through validation procedures and quality checks
- Conduct data mining using techniques such as clustering, classification, regression, and association analysis to extract meaningful information
- Perform statistical analysis and hypothesis testing to support data-driven recommendations
- Collaborate with cross-functional teams including business analysts and data engineers to identify key metrics and solve business challenges
- Mentor and develop junior analysts while managing multiple projects simultaneously
- Identify and implement best practices for data visualization, reporting, and analysis
What We're Looking For
- Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, or computer science
- At least 8 years of experience in data analytics with a focus on business intelligence and data visualization
- 5+ years of real-world data engineering development experience in Snowflake
- Proficiency in DBT application
- Strong expertise in Snowflake services including SnowSight, Snowpipe, stages, stored procedures, views, materialized views, tasks, and streams
- Advanced SQL skills and experience working with complex datasets and Enterprise Data Warehouses
- Experience with data modeling and schema design
- Strong analytical and problem-solving abilities with proven capacity to translate complex data into actionable insights
- Excellent communication and collaboration skills to effectively convey technical concepts to non-technical stakeholders
- Demonstrated leadership experience with ability to mentor team members
- Track record in data governance, data quality, and data integrity initiatives
- Exceptional attention to detail and commitment to accuracy
- Strong project management skills with ability to handle multiple priorities effectively
How We Work With You
Our talent team at Get A Job.ai manages the complete recruitment process for this confidential client. When you apply through our platform, one of our experienced recruiters will conduct an initial screening to understand your background and career goals. If there's a strong match, we will submit your profile to the client for consideration and guide you through each stage of their interview process. Please apply exclusively through Get A Job.ai—direct contact with the client is not part of this search process.
Pay
Compensation details will be discussed with qualified candidates during the screening process.
Equal Opportunity: Get A Job.ai is committed to diversity and inclusion. We provide equal employment opportunities to all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by law.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Explore Get A Job.ai online
Working in Brazil
Brazil, officially the Federative Republic of Brazil, is the largest country in South America. It is also the world's fifth-largest country by area and the seventh-largest by population, with over 213 million people. Brazil is a federation composed of 26 states and a Federal District, which hosts the capital, Brasília. Its most populous city is São Paulo, followed by Rio de Janeiro. Brazil has the largest Lusophone population in the world and is the only Portuguese-speaking country in the Americas, where it is the official language.
Note: Brazil observes a public holiday on Oct 12 — Our Lady of Aparecida.
🇧🇷 Relocation safety for Brazil: Exercise Increased Caution — via Warnely, CC BY 4.0
National unemployment rate in Brazil: 6.0% — via World Bank
GDP per capita in Brazil: $10,713 — via World Bank
Consumer price inflation in Brazil: 5.0% (annual) — via World Bank
Real GDP growth in Brazil: 2.3% (annual) — via World Bank
Average hours worked per week in Brazil: 39.4 — via ILOSTAT
Mean monthly earnings in Brazil: $602 — via ILOSTAT
About this role & career path
Traits that fit this role
- Achievement Orientation
- Intellectual Curiosity
- Cautiousness
- Integrity
- Attention to Detail
Source: O*NET Work Styles (Distinctiveness Rank).
Typical preparation needed: Job Zone 5: Extensive Preparation Needed. Most of these occupations require graduate school -- for example, a master's degree, and some require a Ph.D., M.D., or J.D. — via O*NET
Industry news
- Troutman Pepper Locke Weekly Consumer Financial Services Newsletter – September 22, 2026 - Consumer Financial Services Law Monitor
- OpenAI launches ChatGPT for financial services industry - Reuters
- AI governance in financial services: why it's now essential - Wolters Kluwer
Source: O*NET (public-domain bulk data)
Salary & compensation
Workers in Business & Financial Operations occupations earn a national median of $76,859 — via US Census ACS / Data USA
Market context
- Similar listings in Brazil 1
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Listing facts
- Role Data Analyst
- Employer Get A Job.ai
- Location Brazil
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 12, 2026
- Apply by October 13, 2026
- Country Brazil
- Overview Full job description on this page (536 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Data Analyst
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
- Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.
- Interpret results of financial analysis procedures.
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
- Produce written summary reports of financial research results.
Limited public data for this employer
We only show facts we can ground in public sources (Wikidata, O*NET, news/discussion links, or this listing). We do not invent Glassdoor-style ratings, salaries, or testimonials when data is thin. Use the listing facts, occupation context, and related openings below while we continue researching.
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Occupation family: Data Analyst
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