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Senior Data Analyst (BigQuery)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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Описание вакансии

TL;DR
Senior Data Analyst (BigQuery): Analyzing product and business data, defining KPIs, building dashboards, and developing data warehouses and data marts with an accent on statistical analysis, experimentation, and actionable insights. Focus on designing and validating A/B tests, creating interactive visualizations, and supporting data-driven decisions across product, business planning, marketing, and sales.

Data Analyst

Company

PayPay Corporation

Conditions

6 days ago

Skills

About the Role

You will analyze product and business data to deliver actionable insights and support decision-making. You will define and monitor KPIs, build dashboards and visualizations, design and evaluate A/B tests, and develop data warehouses and data marts. You will document analysis, educate stakeholders, and collaborate across product, business planning, marketing, and sales.

Requirements

  • At least 3 years of experience in data analysis
  • Expertise in statistics, including correlation, causation, and statistical tests
  • Ability to design, validate, visualize, and report A/B tests
  • Ability to generate insights that measure business goals and identify opportunities
  • Ability to build trust and relationships with diverse stakeholders

Responsibilities

  • Collaborate with product managers and executives to support data-driven decision-making and deliver actionable insights
  • Analyze data to answer stakeholder questions and recommend product and feature improvements
  • Design product KPIs, create and maintain dashboards, and monitor relevant data
  • Contribute to data-driven processes through knowledge sharing, rule creation, stakeholder support, education, and documentation
  • Create and maintain interactive visualizations from multiple data sources
  • Collaborate with product, business planning, marketing, and sales teams on analytical projects
  • Design and build data warehouses and data marts for responsible products
  • Promote a data-driven culture, improve experimental design, and contribute to best practices

Benefits

  • Social insurance
  • 401K
  • Translation and interpretation support
  • Visa sponsorship
  • Relocation support
  • Super flex time with no core time
  • Annual leave
  • Personal leave
  • Paid holidays and New Year's break

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