Senior Product Analyst

Jobtailor

São Paulo

Presencial

BRL 180 000 - 240 000

Tempo integral

Há 4 dias
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Resumo da oferta

Jobtailor seeks an experienced data analytics professional to transform data into actionable insights, drive growth, and support decision-making for its marketplace platform. You will own product analytics and collaborate with product, growth, and engineering teams to forecast sales and optimize ranking algorithms.

Proficiency in SQL, Python (pandas/numpy), and cloud data warehousing is highly valued; experience building self-service analytics and data observability is a plus for this role.

Qualificações

  • 5+ years of experience in data analysis.
  • Ability to write complex SQL queries with joins, window functions, and CTEs.
  • Deep product-analytics knowledge: retention, cohorts, funnels, ARPU/LTV, and engagement.
  • Experience with cloud data warehouses (BigQuery or equivalent).
  • BI and data storytelling with dashboards (Metabase/Looker Studio).
  • Python with pandas/numpy for analysis and automation.

Responsabilidades

  • Transform data into actionable insights to drive decisions.
  • Conduct product research to identify growth opportunities and hypotheses.
  • Analyze user behavior patterns to uncover meaningful product insights.
  • Influence goal setting and prioritization based on data.
  • Develop self-service data capabilities for AI tools.
  • Own data quality and analytics for marketplace data used by clients and journalists.

Conhecimentos

Data Analysis
SQL Query Writing
Product Analytics
BI Dashboard Development
Cloud Warehouse Experience
Python
Pandas
Numpy
PySpark
Sales Forecasting

Ferramentas

BigQuery
Metabase
Looker Studio

Descrição da oferta de emprego

  • Transform imperfect data into clear, actionable insights that drive decisions
  • Conduct product research to identify growth opportunities, answer high-level questions, and formulate hypotheses
  • Analyze user behavior patterns and independently uncover meaningful product insights
  • Influence goal setting and project prioritization based on data
  • Develop self-service capabilities by structuring data for AI tools and automating routine analysis
  • Identify product growth opportunities and perform analysis and sales forecasting, including seasonality and trend analysis
  • Own data quality, product analytics, and market analysis for marketplace data used by corporate clients and journalists
Requirements
  • 5+ years of experience in data analysis
  • Ability to write complex SQL queries, including complex joins, window functions, CTEs, and query optimization
  • Product-analytics depth in retention, cohort analysis, funnels, activation, ARPU/LTV, and engagement
  • Knowledge of mathematical statistics and practical experience applying it
  • Hands-on experience with a cloud warehouse, such as BigQuery or equivalent
  • BI and data storytelling experience, including building and maintaining dashboards with Metabase, Looker Studio, or equivalent
  • Skill in selecting appropriate data evaluation methods: analytics, research, or external data
  • Ability to tackle complex problems with incomplete data
  • Attention to detail and ability to see tasks through to completion
  • Preferred: experience building and owning a data-quality or data-observability system from scratch
  • Preferred: ownership of product analytics on a data or analytics product
  • Preferred: Python with pandas/numpy for analysis and automation, and PySpark/big-data processing
  • Preferred: B2B SaaS experience
  • Preferred: marketplace analytics experience and deep understanding of marketplace base metrics and ranking algorithms
Core Competencies

Demonstrates expertise in data analysis, including SQL query writing, product analytics, and data storytelling. Proficient in transforming data into actionable insights and developing self-service capabilities for AI tools.

Highest-signal resume keywords
  • Data Analysis
  • SQL Query Writing
  • Product Analytics
  • BI Dashboard Development
  • Cloud Warehouse Experience
Hard Skills
  • SQL
  • Data Analysis
  • Product Analytics
  • Statistical Analysis
  • Data Evaluation Methods
  • Python
  • Pandas
  • Numpy
  • PySpark
  • Sales Forecasting
Soft Skills
  • Attention to Detail
  • Problem Solving
  • Communication
Industry Keywords
  • B2B SaaS
  • Marketplace Analytics
  • Data Quality
  • Data Observability
Tools & Technologies
  • BigQuery
  • Metabase
  • Looker Studio
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