Citylitics delivers predictive intelligence on where, how, and why infrastructure investments will occur across North America. Infrastructure includes the foundational systems that shape our quality of life: water, transportation, transit, roads and highways, broadband, and power. It represents a multi-trillion-dollar market and a 20+ year megatrend in North America.

Citylitics transforms millions of documents across more than 40,000 cities, utilities, and public agencies into real-time market signals and high-value sales intelligence. Leading infrastructure vendors, engineering firms, and construction companies use the platform to identify and pre-position for major infrastructure opportunities earlier, helping them build relationships, shape project priorities, and influence scope before projects move to formal procurement. Citylitics combines a network of AI agents, fine-tuned models, a proprietary infrastructure signals graph, and daily human-in-the-loop quality assurance workflows to deliver highly nuanced and reliable sales intelligence.

The platform integrates seamlessly with CRMs, ERPs, and data lakes, embedding actionable insights directly into sales workflows so teams can prioritize the right pursuits and build stronger pipelines. Our mission is to improve how infrastructure investments get made so critical needs can be addressed earlier and communities benefit from stronger, more resilient infrastructure. Join Citylitics to work in a meaningful industry that will matter for decades to come while helping grow a company at the forefront of applied AI.

Citylitics is looking for a Data Analyst to own our Custom Solutions practice. You’ll scope and deliver client-specific data requests that don’t fit our standard product. You will partner directly with Sales, Customer Success,



Product and leadership to triage incoming requests, assess feasibility before anything is promised to a client, query and validate data in BigQuery, and build the one-off dashboards or reports that answer a client’s actual question.

You size up a vague ask fast, align stakeholders when it’s over-committed, and educate clients on data availability and nuances while developing solution options to discuss with them. Once you’ve validated an approach with the customer, you hand the engineering work to the team. You don’t need to be an engineer, but you need enough confidence in SQL and data structures to know what’s realistic.

You’re also comfortable presenting data findings and methodology directly to clients and helping them interpret what the results mean. This role is based in our downtown Toronto office and requires 3+ days in-office per week. Field current custom-solution requests from Sales and Customer Success as they come in (Slack, demo follow-ups, live calls) Educate clients on data availability and nuances You will do the actual data work behind each request, once it’s been scoped.

Query

BigQuery to test and validate client-specific hypotheses Hand Off to Engineering Once Customer Validation Is Achieved You validate the approach with the customer before engineering builds it.



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 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 ~ 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 ~ Enough SQL/notebook fluency to spec engineering work credibly (not to build it) 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 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 are committed to making diversity and inclusivity part of our culture!

📌 Data Analyst - Project / Remote (Toronto)
🏢 Citylitics
📍 Toronto