Valence has built the first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance & support to any leader or employee. At Valence, we're not just talking about the future of work – we're actively shaping it.

From your first interaction with us, you'll notice we're different. By working here you won't just implement solutions for our clients; you'll be helping to architect the future of leadership in the age of generative AI. And we'll be honest – this is not for everyone. But for those with an insatiable desire to work fast on complex, unsolved challenges with some of the best talent in tech, this could be the career-defining opportunity you've been waiting for.

The Role

In this role you'll be the connective tissue between our product, customer, and data teams. This isn’t a traditional data science role—it’s a fast-paced, high-responsibility role for someone who loves solving messy problems, turning requests into insights, and helping build scalable systems from the ground up. You’ll help define and improve how we triage and fulfill data requests, streamline CS reporting, and surface product insights that drive growth and retention. You’ll work closely with Product, CS, and Engineering to ensure our platform decisions are data-informed and our customer teams are fully equipped with the right information, at the right time.

About Valence

We're a Series A B2B SaaS company, backed by Insight Partners, that's pioneering the first generative AI leadership coach for large enterprises. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together. We've been featured in Harvard Business Review, and our client list reads like a Who's Who of global business, including Coca-Cola, Nestlé, General Mills, ServiceNow, AstraZeneca, Prudential, Citi, CVS and Bristol Myers Squibb.

What You'll Do

Own the analytics backlog for Customer Success and Product, including recurring reporting and usage analysis

Translate ambiguous requests into structured analysis and action, working directly with CS, EMs, and product leaders

Build dashboards and recurring reports that drive clarity on feature usage, client engagement, and operational performance

Write complex SQL queries across varied schemas to extract and transform data

Use Python or Google Sheets to analyze trends, automate repetitive tasks, and visualize findings

Improve internal reporting workflows and help standardize the intake and delivery of stakeholder requests

Collaborate with Product and Engineering to define key metrics, set up tracking requirements, and improve our analytics foundations

Support a growing data culture by making insights accessible, explainable, and actionable across teams

What We’re Looking For

2+ years of experience in a data, product, or business analyst role—ideally in a fast-paced SaaS or AI startup

Strong SQL proficiency, with experience querying complex, multi-source environments

Comfortable using Python (Pandas, NumPy) or scripting tools for data manipulation, automation, or lightweight analysis

Hands-on experience with BI tools like Looker, Tableau, or Power BI, and strong Google Sheets fluency for operational and ad hoc reporting

Ability to turn complex data into clear narratives, and confidently present insights to both technical and non-technical stakeholders

Experience collaborating with CS, Product, and executive leaders to scope, prioritize, and execute data needs

Proven ability to manage competing requests, bring structure to ambiguity, and deliver in cross-functional settings

Exceptionally organized and detail-oriented, with strong project management instincts

Self-motivated, adaptable, and resilient—comfortable operating in a fast-moving, early-stage environment

A growth mindset, with openness to experimentation, feedback, and continuous learning

Clear motivations for joining a mission-driven, high-performance startup

What you'll get

Ownership of projects and strategic priorities regardless of seniority.

Strong ties to the executive team, a culture of transparency and engagement with strategic decisions.

Options from day one, which means you will be on the ownership track right away.

Competitive salary and equity packages.

Comprehensive health coverage (medical, dental, and vision) from day 1.

Provision of anything you need to be successful - learning tools, hardware, office equipment, software.

Generous PTO, company-wide R&R shutdowns and paid leave for parents.

A WFH stipend, phone stipend and support to work in a We Work or other space as preferred.

Learn more about us and meet our team here

Location and Work Environment

This role is 3 days a week (Tues - Thursday) minimum in office in Toronto (Queen & Spadina). Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US.

Diversity and Inclusion

We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at jobs@valence.co.

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Data & Product Associate

Job Description

What You'll Do

What We’re Looking For

What you'll get

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