Product Data Analyst
NPS Prism
PythonSQLTableau
Data Analyst, BI – Mid Level
Agencia VTAL
full-time
Posted on:
Location Type: Hybrid
Location: São Paulo • 🇧🇷 Brazil
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AirflowAmazon RedshiftAWSAzureBigQueryETLGoogle Cloud PlatformOraclePostgresPythonSQLTableau
About the role
- Develop and maintain BI dashboards and reports to monitor business performance.
- Perform complex data analyses to identify trends, patterns and opportunities for improvement.
- Collaborate with business teams to understand their needs and translate them into data requirements.
- Ensure the quality and integrity of the data used in analyses.
- Support strategic decision-making with data-driven insights.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Statistics, Business Administration or related fields.
- Query and data analysis languages: advanced SQL (joins, CTEs, aggregations, views, analytic/window functions).
- BI tools: Power BI, Tableau, Qlik Sense or Looker (dashboard building, KPIs, storytelling).
- Databases: Experience with relational databases (SQL Server, Oracle, PostgreSQL) and/or BigQuery, Snowflake, Redshift.
- ETL / Data integration: Knowledge of tools such as Pentaho, Talend, Alteryx or processes implemented with Python/Airflow.
- Data modeling: Star Schema, Data Lake, Data Warehouse, normalization and governance best practices.
- Advanced Excel and use of DAX functions (for Power BI users).
- Analytical and business skills: Ability to translate data into actionable insights.
- Experience defining KPIs and performance indicators.
- Knowledge of statistical concepts (weighted mean, correlation, regression, variance, etc.).
- Focus on process improvement, operational efficiency and data-driven decision making.
- Experience producing executive reports and presentations for stakeholders.
- Behavioral competencies: Logical reasoning and attention to detail.
- Good communication skills and ability to work with diverse areas (operations, commercial, technology).
- Analytical mindset and proactivity to propose solutions.
- Ability to work with large volumes of data and under challenging deadlines.
- Organization, sense of priority and results orientation.
- Differentials (not mandatory but valued): Experience with cloud platforms (Azure, AWS, GCP).
- Knowledge of Machine Learning or predictive analytics.
- Familiarity with APIs and report automation.
- Experience in telecommunications, finance or retail, depending on the company's sector.
Benefits
- Meal and/or food allowance
- Transportation allowance
- Health insurance
- Dental insurance
- Life insurance
- Private pension plan
- Profit-sharing program (PPR)
- Pharmacy assistance
- Childcare assistance
- Flexible working hours
- V.tal perks club
- Extended maternity leave (6 months)
- Extended paternity leave (20 days)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
advanced SQLPower BITableauQlik SenseLookerrelational databasesBigQuerySnowflakeRedshiftETL
Soft skills
analytical mindsetattention to detailcommunication skillslogical reasoningproactivityorganizationresults orientationcollaborationability to work under deadlinesability to translate data into insights
