Data Solutions Analyst

Citylitics • Toronto, ON

1d • Hybrid

About The Position

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. We operate with a Results-Driven Mentality and a commitment to Raise The Bar, in a collaborative environment where Teamwork Makes the Dream Work as we tackle big challenges and celebrate wins together.

Requirements

• Working experience with AI agents for research, data analysis, workflow configuration, documentation, collateral creation, or customer-facing deliverables is critical.
• Keen interest in infrastructure industries and data products and services.
• 1–3 years of experience in data analysis, solutions consulting, implementation, customer success operations, product operations, market research, business analysis, or a similar role.
• Strong ability to analyze data and translate findings into clear business insights.
• Experience working directly with customers, prospects, or internal commercial teams.
• Comfort leading customer-facing conversations, data workshops, training sessions, or executive-level presentations.
• Strong communication skills, including the ability to explain data, methodology, data integration considerations, and workflow recommendations clearly.
• Strong comfort working with dashboards, reports, data exports, and analytical tools.
• Experience working with customer data environments and following data security and integration best practices.
• Ability to create clear collateral, summaries, and presentations using data.
• Strong organizational skills and ability to manage multiple sales cycles, trials, roadmap tickets, and internal requests at once.

Nice To Haves

• Experience in a data, SaaS, AI, market intelligence, sales intelligence, business intelligence, or research platform company.
• Experience supporting pre-sales, pilot, or trial processes.
• Experience conducting user training or customer enablement sessions.
• Experience creating market analytics, opportunity analyses, methodology collateral, or sales collateral.
• Experience scoping data integrations, implementation plans, data workflows, CRM workflows, or customer-specific configuration requirements.
• Experience with CRM integrations and data security is a major advantage.
• Experience supporting early-stage data product discovery, feasibility analysis, proof-of-concept development, or new-market data exploration.

Responsibilities

• Support AEs with data and integration expertise during sales intelligence workshops and pre-implementation syncs.
• Answer prospect questions about data coverage, signal types, methodology, platform configuration, workflows, and use-case fit to strengthen data trust.
• Advise prospects on relevant signals, indicators, data packages, product add-ons, filters, dashboards, feeds, alerts, and data methodology.
• Conduct deeper data and technical discovery during sales intelligence workshops to understand prospective customers’ systems, data environments, workflows, and integration needs.
• Support AE-owned demos by ensuring demo environments, data feeds configuration, methodology explanations, and supporting materials are accurate, relevant, and ready for prospect conversations.
• Create market analytics, sample data, data stories, and proof points that support sales opportunities, executive conversations, trials, and marketing campaigns.
• Help quantify opportunity volume, account coverage, signal activity, and potential pipeline relevance for prospects.
• Support outbound and inbound marketing campaigns with relevant sample data, market examples, data stories, and other collateral needs.
• Build and maintain reusable assets, including sample reports, vertical-specific examples, sales intelligence workshop materials, trial templates, and AI prompts.
• Help prospects understand how Citylitics identifies nuanced signals often missed by generic search tools, broad data providers, bid platforms, or general AI tools.
• Create and maintain methodology collateral, FAQs, slides, talk tracks, and examples that support sales intelligence workshops, trials, and customer conversations.
• Set up and configure trial accounts based on prospect needs, target markets, user roles, geographies, use cases, and signal preferences.
• Manage demo environments to ensure they remain accurate, current, and ready for AE-owned demos.
• Conduct 1:1 training calls to help trial users navigate the platform, interpret signals, use dashboards, and apply insights to their workflow.
• Monitor trial activity and support AEs in interpreting user engagement, adoption, feedback, workflow fit, and demonstrated value.
• Identify opportunities to improve trial configuration, demo environment readiness, training, and support processes.
• Scope and present implementation and data integration plans based on customer needs, system requirements, data availability, workflow complexity, and existing GTM systems.
• Translate sales intelligence workshop findings into practical implementation considerations, data integration requirements, data needs, risks, and recommended next steps.
• Support pre-implementation syncs by documenting prospect needs, configured workflows, signal preferences, data integration considerations, and success criteria.
• Own assigned data roadmap tickets tied to customer needs, prospect requests, emerging use cases, and future infrastructure verticals.
• Assess data feasibility for new markets, sectors, signal types, workflows, and customer use cases.
• Research potential data sources, collection approaches, classification methods, enrichment opportunities, and QA requirements for new data areas.
• Build and manage proof-of-concepts for new data areas that Citylitics is exploring or branching into.
• Document learnings from proof-of-concepts, including data availability, quality, coverage, repeatability, operational effort, and commercial relevance.
• Document prospect needs, use cases, configured workflows, signal preferences, trial learnings, user feedback, success criteria, and data integration considerations.
• Support the handoff from Sales to Customer Success and Implementation when the deal reaches procurement stage.
• Share relevant context, configuration notes, trial engagement, value proof points, and implementation risks to reduce loss of context between sales and onboarding.

Benefits

• Make real-world impact: Influence positive change across one of the biggest societal challenges of our generation: building and maintaining sustainable public infrastructure.
• Sell a genuinely differentiated platform: You’ll represent a disruptive, data-driven solution with a compelling value proposition in a market that is eager to engage.
• Operate at the intersection of infrastructure, scale-up, and data science: We live where infrastructure meets AI and advanced data. There is no other team like ours in Toronto.
• Move fast, learn faster: There’s no corporate bureaucracy here. You’ll accomplish more in a few months than you would in years at a large, entrenched technology company.
• Be empowered by data and AI: We believe Data and AI will play an outsized role in the future of sales and decision-making. Every CityZen has access to generative AI tools and our full data universe to enhance productivity and encourage experimentation.
• Grow with intention: We invest deeply in our people through in-role coaching, skill-based development, an internal mentorship program, and clear internal promotion pathways.
• Win as a team: We work hard, we support one another, and we celebrate progress along the way. We’re serious about solving infrastructure and just as serious about enjoying the journey together.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed