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8 дней назад

Business Data Analyst (Product Analytics)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Canada
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
Business Data Analyst (Product Analytics): Designing experiments and analyzing customer behaviour to inform product roadmaps across conversion, engagement, and renewals with an accent on statistical rigour, experimentation, and reliable measurement. Focus on uncovering behavioural trends, improving tracking and attribution, building dashboards, and translating complex analysis into actionable recommendations.

Location: Hybrid from the Edmonton, Alberta office, Canada; 37.5 hours per week with flexible schedules.

Company

A legal technology company modernizing legal document creation through fast, accessible, and professional digital solutions for customers worldwide.

What you will do

  • Partner with Product Owners to design experiments, define requirements, and evaluate assumptions and limitations.
  • Analyze experiment data, customer behaviour, usage patterns, performance drivers, friction points, and growth opportunities.
  • Lead multiple analytical initiatives and translate business questions into measurable metrics and actionable recommendations.
  • Build dashboards, automated reports, SQL queries, and notebooks to improve insight accessibility and analytical efficiency.
  • Improve tracking plans, event quality, and attribution logic for accurate and reliable measurement.
  • Communicate findings to stakeholders and collaborate with analysts to review results and refine methodologies.

Requirements

  • Post-secondary education in Business, Economics, Mathematics, Data Science, Computer Science, or a related field.
  • At least 3 years of experience in data analysis, product analytics, or data science.
  • Strong statistical judgment, including hypothesis testing, confidence intervals, sample size, power considerations, and experiment analysis.
  • Proficiency in SQL, including efficient queries with joins, aggregations, and filtering logic.
  • Familiarity with Python for data analysis and visualization, including pandas and Matplotlib.
  • Ability to manage multiple analyses, explain complex findings clearly, work independently, and use Microsoft Excel for pivot tables, visualizations, and formulas.

Nice to have

  • Experience analyzing and designing A/B experiments.
  • Experience with AI-enabled development environments such as Cursor, Claude Code, VS Code, or Copilot.
  • Knowledge of data mining and segmentation techniques.
  • Confidence challenging assumptions, structuring ambiguous problems, and presenting insights to Product Owners and leadership.

Culture & Benefits

  • Full-time, permanent employment with a 37.5-hour work week and hybrid working arrangements.
  • Health and dental benefits with Health Care Spending and Personal Spending Accounts.
  • Three weeks of paid vacation, bonus personal days, flexible schedules, and the ability to bank hours.
  • Continuous learning through LinkedIn Learning and training budgets.
  • Company share plan, catered office lunches, social events, and accessible parking.
  • Personal offices, collaborative workspaces, and a culture focused on quality, reliability, innovation, and growth.

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