Senior Data Analyst: Multiple Teams

Constructor
Rio de Janeiro, United Kingdom
Workplace: RemoteFull timeUSD 80,000 - 120,000 annuallyFunction: Data Analytics & Business IntelligenceSkills: ["Analytical thinking","Communication","Stakeholder management","Curiosity","Continuous improvement"]

Analyze user behavior and large-scale datasets across multiple teams to uncover patterns, drive product improvements, and measure business impact. Design, run, and analyze A/B tests, define and validate metrics, and build dashboards and data tools for decision-making. Partner with engineering, data science, product, and business stakeholders, using SQL, Python, and distributed data systems to translate insights into measurable outcomes.

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FursaFursa
Constructor
Constructor
2 months ago

Senior Data Analyst: Multiple Teams

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Analyze user behavior and large-scale datasets across multiple teams to uncover patterns, drive product improvements, and measure business impact. Design, run, and analyze A/B tests, define and validate metrics, and build dashboards and data tools for decision-making. Partner with engineering, data science, product, and business stakeholders, using SQL, Python, and distributed data systems to translate insights into measurable outcomes.
Location: Rio de Janeiro, United Kingdom
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Analyze user behavior and large-scale datasets to identify patterns, issues, and improvement opportunities.
  • •Design, run, and analyze A/B tests to evaluate product changes against key business metrics.
  • •Define and validate metrics reflecting both user experience and business outcomes.
  • •Build dashboards, reports, and data tools to support decision-making across teams.
  • •Collaborate with engineering, data science, product, and business stakeholders to translate insights into product improvements.

Pay and Benefits

Salary: USD 80,000 - 120,000 annually
Equity and Bonus:Equity
Perks:Paid LeaveHome OfficeLearning BudgetParental LeaveEquity

Key Requirements

  • •Strong analytical skills using data to solve business problems and drive product decisions.
  • •Solid SQL skills and experience working with large datasets.
  • •Experience using Python for data analysis, including pandas and NumPy.
  • •Understanding of A/B testing and statistical concepts for evaluating product changes.
  • •Familiarity with machine learning pipelines, training data quality, and model evaluation; ranking/recommendations/search relevance is a plus.
Experience:E-commerceProduct analyticsSearch and recommendationsMachine learning
Skills:Analytical thinkingCommunicationStakeholder managementCuriosityContinuous improvement
Tech Stack:SQLPythonPandasNumPyVisualization librariesA/B testingMachine learningTransformersGenerative LLMsDistributed data systems

Company Brief

Constructor
Provides an AI-powered site search and product discovery platform for e-commerce and retailers, improving search relevance, recommendations, personalization, and merchandising to boost conversions and average order value.
Industry: Enterprise Software
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: San Francisco, United States
WebsiteLinkedIn