Product Data Analyst

NPS Prism

. Work side by side with Product Specialists and Product Managers in a cross-functional Agile team .

Posted 10/26/2026full-timeSão Paulo • BrazilJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, statistical techniques, and data visualization, with a strong ability to communicate insights effectively. Proficient in SQL and experienced in building automated data pipelines and dashboards to support client needs.

Highest-signal resume keywords

SQL Query WritingData Visualization in TableauPython ProgrammingETL and Data-Preparation ToolsCloud-Based Data Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical TechniquesFraud AnalysisSentiment AnalysisRegression AnalysisTime-Series AnalysisAutomated Data PipelinesData Workflows DesignAnalytical QueriesDashboard Development

Soft Skills

Strong Communication SkillsProblem-SolvingHypothesis GenerationQuality Control

Tools & Technologies

TableauPower BIPostgreSQLSQL ServerMySQLAlteryxKNIME

Industry Keywords

Agile MethodologyCross-Functional TeamsClient SupportData IngestionData Transformation

Tech Stack

Tools & technologies

CloudETLMySQLPostgresPythonSQLTableau

About the role

Key responsibilities & impact

Work side by side with Product Specialists and Product Managers in a cross-functional Agile team
Help design and build the interactive platform end to end
Partner with Technical Product Managers and Tech Leads to shape new features and systems
Build client-ready dashboards and run large-scale data analysis
Design data workflows and analytical queries for new product features and instances
Apply statistical and data-mining techniques, including fraud analysis, sentiment analysis, regressions, and time-series analysis
Support team leads with problem-solving, hypothesis generation, research, and quality control
Communicate findings clearly to teammates and product leads
Maintain a zero-defect standard across owned and co-managed workstreams
Understand client needs and help resolve complex issues on critical workstreams
Provide ongoing support to subscription customers, including additional data cuts and answering questions about data and methodology

Requirements

What you’ll need

At least 1 year of experience working with data in a fast-paced, complex business environment
Fluency in English, written and spoken
Solid SQL skills, including writing and structuring queries against relational databases such as PostgreSQL, SQL Server, or MySQL
Python is a strong plus
Experience building data visualization dashboards in Tableau, Power BI, or a similar tool
Ability to translate business questions into the right calculations
Strong communication skills and ability to turn complex data into simple, clear insights
Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or another technology-related field — or equivalent hands-on experience (preferred)
Experience building end-to-end automated data pipelines
Comfort optimizing SQL queries for performance
Experience with ETL and data-preparation tools such as Alteryx or KNIME
Experience with cloud-native data services and cloud-based ingestion/transformation
Experience with survey programming

Benefits

Comp & perks

Collaborative work culture through Bain & Company
Professional and personal growth environment
Coaching from Data Visualization and Data Engineering leads
Opportunity to sharpen technical craft and see direct impact on real clients