Data Analyst

Valence; Toronto; On-site; CAD 70,000 - 90,000; Full time

Job summary

Valence, a pioneering B2B SaaS company, seeks a Data Analyst to shape data-driven decisions across product and customer teams. This role involves analyzing platform usage, developing dashboards, and collaborating with various departments to enhance data culture. Candidates should have 2+ years of experience, a relevant degree, and proficiency in SQL and Python. The position offers competitive salary, equity, and comprehensive health coverage.

Benefits

Competitive salary and equity packages

Comprehensive health coverage from day 1

Generous PTO and paid leave for parents

WFH stipend and support for workspace

Qualifications

• 2+ years of experience in a data analytics role.
• Proficient in SQL and Python for data analysis.
• Experience with BI tools like Tableau or Power BI.

Responsibilities

• Analyze platform usage and user interaction to surface actionable insights.
• Develop self-serve dashboards and reporting frameworks.
• Collaborate with Product and Engineering teams to define tracking requirements.

Skills

SQL

Data Analysis

Communication

Trend Identification

Education

Bachelor’s degree in Data Science

Bachelor’s degree in Statistics

Bachelor’s degree in Computer Science

Bachelor’s degree in Economics

Tools

Python

Tableau

Power BI

Excel

Job description

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 critical in shaping how data informs decisions across our product, customer, and go-to-market teams. You’ll uncover user behavior patterns, operational performance insights, and commercial opportunities — all while helping to lay the foundation for a scalable, insight-driven data culture. You'll collaborate deeply with leaders across Product, Engineering, Sales, and Customer Success to ensure we’re making the smartest possible decisions from day one.

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, CVS and more.

What You'll Do

• Product & Customer Analytics
• You will analyze platform usage, feature engagement, and user interaction with our AI-powered coaching tools to surface actionable insights.
• You’ll identify friction points and areas of opportunity across key user journeys.
• You’ll support rigorous A/B testing, evaluate AI model performance, and help assess the impact of new features on user experience and outcomes.
• Reporting & Visualization
• You’ll develop self-serve dashboards and recurring reporting frameworks to democratize access to data across teams.
• You will translate complex data into clear, compelling stories for technical and non-technical audiences to support data-informed decision-making.
• Data Infrastructure & Collaboration
• You’ll collaborate with Product and Engineering teams to define tracking requirements and ensure accurate, consistent data collection.
• You’ll identify and recommend improvements to data processes that enhance quality, efficiency, and trust in analytics across the organization.

What We’re Looking For

• You have 2+ years of experience in a data analytics role, ideally within a B2B SaaS or AI-focused startup environment.
• You hold at least a Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.

• You are highly proficient in SQL and comfortable writing complex queries and working with diverse database structures.
• You have hands-on experience with Python (using libraries like Pandas, NumPy, Matplotlib, or Seaborn) or R for data analysis and visualization.
• You’re familiar with BI tools such as Tableau, Looker, Power BI, or equivalent platforms.
• You’re familiar with using Excel or Google Sheets for ad hoc analysis and data exploration.
• You may also bring experience with product analytics platforms (e.g., Mixpanel, Amplitude), cloud environments (e.g., AWS or GCP), or data warehousing concepts.

• You know how to break down complex business problems into structured analyses.
• You are skilled at identifying trends, patterns, and outliers in data to uncover key insights.
• You can clearly communicate findings—both in writing and verbally—to technical and non-technical stakeholders alike.

• Nice to have: You’ve worked in a fast-paced, early-stage startup, you bring familiarity with AI/ML concepts, you understand SaaS metrics and enterprise customers.

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 meetourteamhere

Location and Work Environment

This role is 3 days a week (Tues - Thursday) minimum in office in Toronto or NYC depending on your residency. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions.

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 [e-mail].