Data Analyst

You will own the front door for custom solutions requests, deciding what’s worth committing to before it reaches a client.

Responsibilities include:

• Field new custom-solution requests from Sales and Customer Success as they come in (Slack, demo follow-ups, live calls)
• Assess feasibility and turnaround before anything is committed to a client
• Align stakeholders when a request is over-scoped or under-priced
• Educate clients on data availability and nuances
• Develop solution options to discuss with the client before committing to delivery
  

You will do the actual data work behind each request, once it’s been scoped.

Responsibilities include:

• Query BigQuery to test and validate client-specific hypotheses
• Build or update lightweight dashboards (Looker, etc) for one-off client deliverables
• Disambiguate against existing coverage to avoid duplicating work

You validate the approach with the customer before engineering builds it.
Responsibilities include:

• Write up findings and requirements clients or account teams can act on directly
• Hand off anything requiring pipeline or scraper-level work to engineering, with a clear spec
• Surface it immediately when a client’s own criteria don’t hold up
• Other duties as assigned

• 2+ years of experience in data analysis, solutions consulting, business analysis, or a similar role
• Strong SQL fluency (BigQuery a plus), comfortable self-serve querying
• Scopes an ambiguous request before diving in and defines what “done” looks like from the start
• Strong written and verbal communication for client-facing summaries
• Comfortable working directly with clients or internal commercial teams under a fast turnaround pace
• Comfortable presenting data findings and methodology directly to clients and helping them interpret results, not just retrieving data
• Moves quickly and decisively, without overanalyzing

• Enough SQL/notebook fluency to spec engineering work credibly (not to build it)
• Prior consulting or client-facing analyst background
• Familiarity with a BI/dashboarding tool (Looker, Tableau, etc.)

• This is a rare opportunity to influence positive change within one of the biggest societal challenges of our generation: sustainable public infrastructure.
• You get to support a disruptive solution with a compelling value proposition into an industry that is eager to hear from you and in a market with no direct competition.
• We live at the cross section of infrastructure, scaleup and data science/AI. There is no other team like us in Toronto.
• There is no corporate bureaucracy here. You will accomplish more here in a few months than what you would in a few years at a large, entrenched technology company.
• We believe that Data and AI will play an outsized role in our future, so we equip every team member with access to Generative AI tools and our full Data Universe to enhance their productivity and encourage innovation through experimentation.
• We are proud to offer every CityZen in-role professional growth, skill-based development & learning, and internal promotion opportunities.
• We work hard, we play together, we win as a team! We are on a mission to solve infrastructure while savoring the moment and celebrating the little details along the way.

Citylitics is an equal opportunity employer. We are passionate about providing a safe workplace where everyone is accepted and has the opportunity to grow with us. We are committed to making diversity and inclusivity part of our culture!