Senior Analyst, Customer Analytics (12-month contract)

Location: Toronto; Edmonton; Kitchener-Waterloo; Vancouver Employment Type: Full time Location Type: Hybrid Department: Strategy & Analytics

Are you passionate about using data to drive impactful business decisions?

We're looking for a Senior Analyst, Customer Analytics to be part of our Analytics team on a 12-month contract .

The team:

Analytics is part of Jobber's Strategy & Analytics organization, our internal consulting and decision-support function that connects data and business insights with teams across the company.

Within Customer Analytics, the Strategic Analytics team works across functions on important business questions and company initiatives. Our work brings together analytical thinking, business context, and data to help Jobber understand opportunities, evaluate decisions, and improve business outcomes.

The role:

Reporting to the Senior Manager, Customer Analytics, you'll own analytical workstreams within cross-functional initiatives that support strategic and operational decision-making across Jobber.

You'll work with stakeholders to understand their objectives, bring structure to sometimes ambiguous questions, perform hands‑on analysis, and translate findings into clear insights and recommendations. Your work may range from exploratory deep dives and performance analysis to scenario modelling, impact evaluation, experimentation, metrics, and decision‑support tools.

The Senior Analyst, Customer Analytics will:

- Partner with stakeholders to understand business objectives, translate them into well-scoped analytical questions and approaches,



and independently carry analyses from exploration through to insights and recommendations.
- Act as an analytical thought partner to stakeholders, using data and business context to surface opportunities, challenge assumptions, and recommend practical next steps.
- Perform hands‑on exploratory analysis and deep dives to identify trends, risks, opportunities, and the drivers of business performance.
- Apply analytical techniques such as segmentation, cohort analysis, scenario analysis, impact measurement, and experimentation to support business decisions.
- Evaluate the expected or realized impact of key initiatives and business changes, helping stakeholders understand what is working, what is not, and where to iterate.
- Develop metrics, reporting, dashboards, and other decision‑support tools that provide a explicit view of performance and enable scalable decision-making.
- Communicate analytical findings through clear, compelling narratives and actionable recommendations, including relevant assumptions, limitations, and business context.
- Use modern analytical tools, including AI‑assisted workflows, to improve the speed and quality of exploration, analysis, quality assurance, documentation, and communication, while validating outputs and remaining accountable for the final work.
- Collaborate with peers across Analytics, Business Intelligence, Analytics Engineering,



Data Science, and other teams to ensure analytical quality and consistency.

To be successful, you should have:

- Expert‑level SQL skills and experience working with complex relational data.
- Strong quantitative and analytical skills, with experience conducting exploratory analysis, performance measurement, and custom analytics to support business decisions.
- Experience applying techniques such as segmentation, cohort analysis, scenario analysis, impact evaluation, or experimentation.
- Proficiency with BI and data visualization tools such as Tableau, with the ability to communicate insights clearly through data.
- Strong business acumen and curiosity, with an ability to understand the broader context behind an analytical question rather than focusing only on the data.
- Excellent storytelling and communication skills, with the ability to turn complex analysis into clear, actionable insights for different audiences.
- A collaborative and proactive working style, with the ability to navigate ambiguity, seek out information independently, and adapt as priorities evolve.
- Comfort using AI‑assisted tools as part of analytical workflows, paired with the judgment to validate outputs and use them responsibly.
- Experience with Python for analysis, automation, or reproducible workflows is an asset.
- Experience with SaaS, subscription businesses, or cross‑functional business analytics is a plus.

You care about analytical quality and actively contribute to peer review, knowledge sharing, and improving how the broader team works.

Location:

We believe great collaboration is

📌 Interim Senior Analyst, Customer Analytics (Toronto)
🏢 Go Fractional
📍 Toronto