Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
NPS Prism

Product Data Analyst

NPS Prism

. Build client-ready dashboards and conduct large-scale data analysis .

Posted 10/5/2026full-timeSão Paulo • BrazilJuniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in data analysis, dashboard creation, and SQL query optimization, with a strong focus on delivering actionable insights and supporting product development in a collaborative environment. Proficient in building automated data pipelines and utilizing cloud-based data services to enhance business decision-making.

Highest-signal resume keywords
SQL Query OptimizationData Visualization in TableauBuilding Automated Data PipelinesETL and Data-Preparation ToolsStatistical Analysis Techniques

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisStatistical TechniquesSQLData VisualizationData Workflow DesignRegression AnalysisTime-Series AnalysisFraud AnalysisSentiment AnalysisSurvey Programming
Soft Skills
Strong Communication SkillsProblem-SolvingCollaboration
Tools & Technologies
TableauPower BIPostgreSQLSQL ServerMySQLAlteryxKNIMECloud-Based Data Services
Industry Keywords
Data-Driven Decision MakingAgile MethodologyCross-Functional CollaborationCustomer Experience Benchmarking

Tech Stack

Tools & technologies
CloudETLMySQLPostgresSQLTableau

About the role

Key responsibilities & impact
  • Build client-ready dashboards and conduct large-scale data analysis
  • Design data workflows and analytical queries supporting new product features and instances
  • Apply statistical and data-mining techniques, including fraud analysis, sentiment analysis, regression, and time-series analysis
  • Support team leads with problem-solving, hypothesis generation, research, and quality control
  • Communicate findings and explain their business significance to teammates and product leads
  • Maintain a zero-defect standard across owned and co-managed workstreams
  • Understand client needs and help resolve complex issues alongside Product Specialists and Product Managers
  • Provide ongoing support to subscription customers, including additional data cuts and methodology questions
  • Collaborate with Product Specialists and Product Managers in a cross-functional Agile team to design and build NPS Prism's cloud-based CX benchmarking platform
  • Partner with Technical Product Managers and Tech Leads to shape new features and systems

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
  • Experience building data visualization dashboards in Tableau, Power BI, or a similar tool
  • Ability to translate business questions into appropriate calculations
  • Strong communication skills for turning complex data into 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
  • Experience 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 from Bain & Company and a tight-knit startup team
  • Professional and personal development environment
  • Coaching from Data Visualization and Data Engineering leads
  • Hybrid work arrangement (2 days per week based in São Paulo)