Senior Data Analyst (Product)

Purpose of the role: 

Facilitate teams across the company to make informed decisions based on data, rather than on intuition. Lead complex analytical projects with multi-level dependencies, diverse stakeholder base and unclear paths to solution.

Please note: As a global company with employees and clients outside of Quebec, fluency in English as a working language is required for this position.

Role: 

• Lead the process of gathering requirements and translating complex business problems into structured, scalable quantitative analyses.
• Partner with functional departments to extract strategic insights from analytical outputs, shape high-impact business recommendations, and deliver them through compelling narratives and comprehensive visualizations.
• Guide collaboration with stakeholders and team members to design accurate, scalable, and business-relevant datasets, reports, dashboards, and analyses for both operational and strategic initiatives.
• Design robust data models using techniques such as Kimball/dimensional data modelling.
• Oversee and optimize data reconciliation/manipulation processes, proactively identifying opportunities for automation, data quality improvement, and integrity/consistency checks.
• Champion data governance by embedding best practices into workflows and mentoring stakeholders on discovering, accessing, and effectively leveraging data assets.
• Play a key role in advancing internal event tracking and A/B testing systems through continuous improvement and innovation.
• Develop predictive and classification models to support strategic initiatives across Product, Customer Success, and Marketing domains.
• Mentor junior colleagues on best practices in analytical research, dashboard development, and data storytelling to ensure high-quality, impactful outputs.
• Report to the Senior Manager, BI & Analytics.

• Stay up to date with developments, innovations, and trends in data, including state-of-the-art machine learning models and large language models (LLMs).
• Contributing as part of the wider team to achieve organizational objectives, even if this means doing things that aren’t strictly within the scope of your role.

What will make you successful: 

• Your analysis is not only reliable, accurate, and well-structured, but also demonstrates strategic insight and drives decision-making at a senior level.
• You proactively engage with stakeholders to understand and align with their priorities, and you can clearly articulate the broader business context behind each request.
• You lead cross-functional collaboration by identifying key contacts across departments and facilitating knowledge sharing to deepen subject matter understanding.
• You have expert-level knowledge of data sources across domains (e.g., Product, Marketing) and subdomains (e.g., Product → Storefront), and can guide others in selecting, interpreting, and applying the most relevant data and metrics.

Experience needed: 

• 3+ years of experience as a Data Analyst or in a similar role within analytics, business intelligence, or data science, with a track record of driving measurable business impact.
• Strong business acumen and the ability to independently translate complex business needs into robust data requirements and actionable insights.
• Advanced proficiency with Python and SQL.
• Advanced proficiency with Kimball/dimensional data modelling.
• Advanced proficiency with Looker and the use of LookML to design Explores and dashboards.
• Familiarity with other modern BI tools such as Tableau or Power BI, with a focus on designing scalable and intuitive dashboards.
• Deep understanding of probability theory, statistical inference, and experimental design, including hands-on experience designing, running, and interpreting A/B tests.
• Solid foundation in mathematics, including combinatorics, calculus, and mathematical logic.
• Proven ability to communicate findings and recommendations effectively using MS Excel and PowerPoint for diverse audiences.
• Practical experience with event tracking systems and user behaviour analytics tools.
• Applied experience with machine learning models for classification, regression, or clustering, preferably in product, marketing, or customer analytics contexts.
• Experience in the e-commerce domain is a strong plus.

Skills required: 

• Ability to manage multiple high-impact projects simultaneously while maintaining focus and delivering high-quality outcomes.
• Strong grasp of business context and ability to align analytical work with strategic objectives.
• Eagerness to continuously explore and adopt new data systems, tools, and methodologies.
• Ability to proactively identify issues, communicate them clearly, and work collaboratively to resolve them.
• Ability of working independently and driving initiatives with minimal oversight.
• Great attention to data accuracy and integrity.
• You are self-driven, detail-oriented, and committed to continuous improvement.
• You are comfortable operating in fast-paced, dynamic environments, with the ability to navigate ambiguity and complexity effectively.
• You have excellent analytical and organizational skills, with a structured and methodical approach to problem-solving.
• Strong written and verbal English language skills.

What’s in it for you: 

Be a changemaker

You’ll enjoy:

• A flexible work environment that empowers you to do your best work
• A culture that celebrates performance
• The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard
• Career-defining opportunities

Plus benefits designed to keep you happy, healthy and fulfilled.

• Flexible paid time off and remote work policies 
• Equity options, because this is your company too
• Contributions to your pension plan. Your future matters
• Training opportunities to grow your skills and career
• Health and wellness credit so you feel your best
• Time off to volunteer and give back to your community
• Interest groups, employee-led networks, social committees to sponsored sports teams
• Computer purchase program to get your personal MacBook
• Enhanced parental leave to support growing families
• Lightspeed equity scheme (we are all owners)
• Unlimited paid time off policy
• People Experience - Our PX benefit allows you to work from pretty much anywhere in the world for 60 days a year 
• Health insurance: Immediate access to health, dental, vision, and life insurance for you and your eligible dependents.
• Employer RRSP contribution of up to 4% of base salary to a maximum of $5,000 
• Health and wellness benefit of $500 per year
• Employee Technology Purchase Program: Ability to an interest-free loan to purchase certain Apple products
• LinkedIn Learning: At Lightspeed, we believe in having a growth mindset, we provide free access to LinkedIn learning along with your career GPS to help you learn & grow
• Paid leave and assistance for new parents
• Mental health online platform and counselling & coaching services
• Volunteer day
• We got you covered! A variety of snacks, coffee, and teas are always accessible and available in the office kitchen - Tuesday: Pancakes, Wednesday: Lunch is served, and Thursday is Happy Hour with a variety of drinks and snacks.

Fuel your growth. Find your people.

At Lightspeed, your growth is our priority. We invest in you with continuous learning opportunities, global mobility and benefits designed to support you—all within a driven, diverse and inclusive team that’s passionate about empowering our communities.