3 дня назад
Data Analyst (SQL/Python)
85 580 - 115 780CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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