Intermediate Business Analyst

1. Non-technical traditional requirements and documentation gathering BA roles
2. You wont be writing user stories for technical people and managing a backlog
3. You are not a Project coordinator in disguise; this isnt a role where your primary output is a meeting minute or a project timeline
   
   

1. Quality and reliability of AI agent outputs (i.e. Genies in Databricks) and guardrail effectiveness
2. Experiment design rigor and speed-to-insight on A/B and non-testable decisions
3. Data accuracy consistency and integrity across analytical systems
4. Stakeholder confidence in recommendations and analytical frameworks
5. Contribution to team capability through documentation SOPs and knowledge sharing
   
   

• The team is split into Business Operations and Data Operations - the team currently has 7 Particles (people of Article).
• They are a hybrid team - youll be in the office 3 days per week.

What Youll Do:

• Design and execute website A/B and multivariate tests across eCommerce touchpoints delivering the full lifecycle independently from hypothesis definition to readout.
• Translate ambiguous business questions into structured experimental frameworks engage in hypothesis development selecting metrics sizing samples and setting guardrails against premature decisions.
• Apply causal inference and quasi-experimental methods (e.g. difference-in-differences holdout groups) for decisions that cant be cleanly A/B tested.
• Deliver concise experiment readouts that go beyond statistical significance to explain what changed why it matters and what to do next.
• Establish success metrics and trade-off criteria upfront to align stakeholders and reduce post-hoc debate.
• Identify when experimentation is the wrong tool and provide structured analytical alternatives when controlled testing isnt feasible.
  
  

• Apply best practices in data structuring to ensure accuracy and consistency across systems.
• Build and maintain analytical models that support key business decisions across moderately complex domains.
• Work with large sometimes messy datasets to produce analysis that is defensible reproducible and clearly scoped in its assumptions.
  
  

• Drive the deployment of AI-powered analytics solutions including Databricks Genie that reduce manual analysis and surface insights faster for internal and customer-facing use cases.
• Build and maintain AI agents and automated reporting pipelines applying best practices for reliability accuracy and scalability.
• Apply prompt engineering techniques to optimize model outputs ensuring responses are consistent trustworthy and aligned with user expectations.
• Support in designing guardrails and governance frameworks for AI tools establishing clear boundaries around data access output quality and acceptable use.
• Operationalize AI solutions on modern data platforms (Databricks Claude Gemini) actioning the journey from raw data to governed consumable insight.
• Document AI workflows prompt templates and guardrail configurations so solutions remain usable and maintainable across teams.
• Monitor and adjust AI agent performance over time flagging degradation in output quality and recommending adjustments to prompts data inputs or configurations.

• Build strong working relationships with internal and external partners to align analysis with business goals.
• Collaborate across teams to identify opportunities and deliver clear practical recommendations.
• Maintain and improve SOPs to ensure consistency efficiency and knowledge sharing across the team.
• Document data sources transformation logic and analytical assumptions to ensure analyses are reproducible and auditable.

• Provide guidance and feedback to less experienced analysts when needed.
• Contribute to team learning by sharing insights and raising the standard of analytical practice.
• Actively develop skills to take on increasingly complex and ambiguous work.

Who You Are:

• 3-5 years of professional experience as a Business Analyst with strong experience in Experimentation
• Legally able to work in Canada (up to FULL TIME HOURS year-round/ no Student VISA)
• Completion of a criminal background check
• Tech skills:
  • Databricks or similar
  • Basic SQL Knowledge: You can write SQL queries without using an LLM
  • AI literacy youll be expected to go beyond prompting
  • Basic coding like scripting in Python would be nice
  • A/B testing experience

Perks & Benefits:

• The intermediate salary range is $95000 to $110000
• Starting salary is determined by your transferable skills knowledge work experience and the hiring teams budget which is based on business needs market compensation data and internal equity
• We believe in Winning Together. When Article hits its annual financial goals eligible employees will receive a cash bonus
• 4% RRSP matched contributions through Wealthsimple

• 15 days of vacation*
• 1 extra day off (Inclusion and Diversity Day)
• 6 well-being (sick) days
• Hybrid work: 3 days a week in the office
• Work remotely (anywhere in the world) for up to 3 weeks

• Excellent extended health dental and vision benefits
• $1000 health/lifestyle spending account* for your total physical and mental well-being
• TELUS Health App
  • Mental Health Assistance/Counseling
  • Virtual medical appointments

• The Article HQ is a converted warehouse with an open accessible layout and no offices (even for our founders)
• Work from your desk an Article sofa collaboration spaces or a private meeting room
  • Standup desks can be requested too
• Our kitchens are stocked with salty sweet and healthy snacks & all the premium coffees and teas to keep you buzzing
• Onsite fitness equipment with showers and towel service
• Pickleball badminton and table tennis matches happen from very competitive to very casual
• A dog-friendly office - well-socialized pups are welcome

• Free street parking (first-come first-serve; no reserved spots for senior leaders)
• Indoor secure bike storage with change rooms and showers
• 20-minute walk to either Main Street- Science World or VCC Clark Skytrain stations

• 45% discount on our entire product range (15% for friends and family)