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3 дня назад

Data Analyst (SQL/Python)

85 580 - 115 780CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
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
Data Analyst (SQL/Python): Building scalable analytical solutions and data pipelines in Databricks for a global consumer security business with an accent on root-cause analysis, marketing performance, and product health. Focus on designing reliable data models and experiments, translating telemetry into executive-level insights, and driving data governance.

Location: Waterloo, Ontario, Canada; hybrid work with onsite attendance required on an as-needed basis

Salary: CAD 85,580–115,780 per year, depending on experience and qualifications.

Company

hirify.global develops consumer security solutions that protect people and their families in an always-online world.

What you will do

  • Lead strategic analytics projects across business functions, moving from descriptive reporting to diagnostic and predictive analysis.
  • Identify business variances such as retention declines and funnel leakage, determine root causes, and recommend solutions to leadership.
  • Own projects from problem definition through deployed solutions, including stakeholder management, requirements definition, and delivery.
  • Design and build scalable data pipelines and analytical sandboxes in Databricks using PySpark and SQL.
  • Translate complex findings into clear narratives and present insights to technical and executive audiences.
  • Improve data governance, definitions, documentation, integrity, and trust in business metrics.

Requirements

  • Bachelor’s degree in Statistics, Econometrics, Computer Science, or a related quantitative discipline, plus 2+ years of experience.
  • Professional proficiency in SQL and Python for exploring, transforming, and analyzing large-scale relational and analytical datasets.
  • Understanding of logical and physical data modeling, data structure design, data architecture, and data integration.
  • Ability to maintain data integrity across multiple sources and translate business requirements into scalable, reliable data solutions.
  • Experience with statistical analysis and experimentation, including Frequentist, Bayesian, or multivariate A/B testing.
  • Strong written and verbal communication skills, with the ability to explain technical concepts to diverse audiences.

Culture & Benefits

  • Flexible work hours and a supportive, inclusive environment.
  • Bonus program.
  • Pension and retirement plans.
  • Medical, dental, and vision coverage.
  • Paid time off and paid parental leave.
  • Support for community involvement.

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