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обновлено 9 дней назад

Senior Product Data Analyst (Automotive)

120 000 - 151 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Ireland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Product Data Analyst (Automotive): Analyzing dealer product performance, user behavior, and market trends by combining large datasets with SQL and Python, with an accent on experimentation, statistical modeling, and automated data assets. Focus on designing actionable metrics, building dashboards and transformations, and solving complex data-modeling challenges with GenAI-assisted workflows.

Location: Flexible hybrid model; in-person interviews may be required for positions based in Boston or Dublin.

Salary: $120,000–$151,000 USD annual base salary / on-target earnings range.

Company

hirify.global operates an automotive marketplace and provides digital products for consumers and dealerships.

What you will do

  • Conduct exploratory analyses with SQL and Python across website usage, subscriptions, inventory, product performance, user behavior, and market data.
  • Translate ambiguous analytical questions into precise calculations and actionable recommendations for stakeholders.
  • Partner with Product, Engineering, and Data Engineering teams on product innovation, data modeling, clickstream logging, and scalable datasets.
  • Define, audit, and improve business metrics, dashboards, visualizations, and monitoring tools for senior decision-makers.
  • Build data assets and automated transformations using tools such as dbt and LookML.
  • Present complex quantitative findings to leadership and use GenAI, Claude Code, agentic workflows, R, and Python to accelerate analysis.

Requirements

  • 4+ years of experience in analytics, complex modeling, quantitative analysis, or applied statistics.
  • 2+ years of experience communicating high-impact analytical results to leadership teams.
  • Expert fluency in SQL and strong experience with R or Python.
  • Strong understanding of regression, significance testing, omitted variable bias, and independence/dependence.
  • Experience with project planning, roadmaps, resource estimation, and cross-team dependencies.
  • Hands-on GenAI experience and familiarity with agentic coding platforms such as Claude Code or Cursor.

Nice to have

  • Experience with Snowflake, Snowplow, dbt, Looker, Omni, Jira, Salesforce, or Google/Microsoft productivity tools.
  • Experience working with large, unrefined datasets and resolving data-modeling bottlenecks.

Culture & Benefits

  • Flexible hybrid work model and robust time-off policies.
  • Equity for employees, potential discretionary bonuses or incentives, and RSUs.
  • Career development programs, employee resource groups, and corporate giving opportunities.
  • Daily free lunch, new-car discount, meditation and fitness apps, and commuting cost coverage.
  • Inclusive work environment focused on collaboration, curiosity, and innovation.

Hiring process

  • In-person interviews may be required, particularly for positions based in Boston and Dublin.
  • Travel expenses for required in-person interviews are the candidate’s responsibility.

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