Hybrid Senior Data Analyst

Posted last month

Apply now

About the role

  • Collaborate with Engineering to develop automated data collection methods and ETL pipelines
  • Extract, transform, and load (ETL) data from various sources; clean and preprocess data to ensure accuracy and consistency
  • Develop scripts and workflows to automate data processing tasks
  • Perform exploratory data analysis to uncover trends, patterns, and anomalies
  • Apply statistical and analytical techniques and develop predictive models (regression, classification, clustering, time series forecasting)
  • Collaborate with Engineering to create visually appealing and interactive dashboards and reports and craft compelling narratives around data
  • Validate data accuracy, completeness, and integrity; identify and address data quality issues and implement monitoring mechanisms
  • Analyze learning behavior of customers and provide actionable insights to account teams to drive learning engagement and account growth
  • Create processes, shareable workflows, documentation, and a data glossary to democratize data across the department
  • Develop methods to measure impact of learning engagement on business metrics and explain metric fluctuations
  • Conduct scenario analysis and identify/assess risks based on data analysis

Requirements

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or related field
  • Proven experience in data analysis, business intelligence, or related roles
  • Extensive experience developing, sharing, and automating analytics workflows in Alteryx, Knime, or Dataiku
  • Experience with MongoDB or document databases, or ability to quickly learn MongoDB Atlas
  • Strong analytical and problem-solving skills with attention to detail
  • Excellent communication and presentation abilities
  • Excellent critical thinking skills and the ability to anticipate problems
  • Ability to work independently and collaboratively in a fast-paced environment
  • Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R)
  • (Bonus) Experience working with learner engagement data for customer education or technical enablement programs
  • (Bonus) Experience with data visualization tools (e.g., Tableau, Power BI)
  • (Bonus) Knowledge of AI solutions for data analysis
  • (Bonus) Alteryx, Knime, or Dataiku Certification

Benefits

  • equity
  • participation in the employee stock purchase program
  • flexible paid time off
  • 20 weeks fully-paid gender-neutral parental leave
  • fertility and adoption assistance
  • Registered Retirement Savings Plan (RRSP) with employer match
  • mental health counseling
  • backup child and elder care
  • health, dental, and vision benefits offerings
  • employee affinity groups
  • supportive and enriching culture for employees

Job title

Senior Data Analyst

Job type

Experience level

Senior

Salary

CA$72,000 - CA$100,000 per year

Degree requirement

Bachelor's Degree

Location requirements

HybridCanada

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job