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Data Solutions Analyst
Citylitics Inc.Data Solutions Analyst supporting sales process via data and integrating solutions for infrastructure projects. Working closely with sales teams to optimize workflows and enhance decision-making processes.
About the role
Key responsibilities & impact- Support Account Executives with the data and integration expertise needed throughout the sales process.
- 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 data-backed materials that support Citylitics’ sales and marketing efforts while helping prospects understand the quality, relevance, and differentiation of Citylitics’ data.
- Support outbound and inbound marketing campaigns with relevant sample data, market examples, data stories, and other collateral needs.
- Help quantify opportunity volume, account coverage, signal activity, and potential pipeline relevance for prospects.
- Set up and configure trial accounts based on prospect needs, target markets, user roles, geographies, use cases, and signal preferences.
- Conduct 1:1 training calls to help trial users navigate the platform, interpret signals, use dashboards, and apply insights to their workflow.
- Scope and present implementation and data integration plans based on customer needs, system requirements, data availability, workflow complexity, and existing GTM systems.
- Document prospect needs, use cases, configured workflows, signal preferences, trial learnings, user feedback, success criteria, and data integration considerations.
Requirements
What you’ll need- 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.
- 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.
Benefits
Comp & perks- 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.
- *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!*
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisdata integrationworkflow configurationcollateral creationcustomer success operationsbusiness analysisdata exportsCRM integrationsmarket analyticsimplementation plans
Soft Skills
strong communication skillsorganizational skillsability to analyze datacustomer-facing conversationstraining sessionsexecutive-level presentationsability to create clear collateralmanage multiple sales cyclestranslate findings into business insightscomfort leading workshops