About the Role We are hiring a Senior Data Analyst to lead analytics for our GTM and servicing motions, with a core focus on building our "Customer 360" view. You will connect data across marketing, sales, product, and servicing to track how brokers and customers move through the lifecycle and identify opportunities to improve acquisition, onboarding, support, and retention.You’ll partner with Marketing, Sales, Customer Success, and Product to measure campaign impact, optimize funnels, and identify opportunities to improve experience and LTV. By building robust data models, dashboards, and journey analytics, you will provide leaders with a single source of truth for GTM and servicing performance and help prioritize growth and retention actions.ResponsibilitiesFocus on our "Customer 360" platform and marketing impact analysis, building a unified view of customers and brokers across marketing, sales, and servicing touchpoints.Lead and execute cross-functional analytics projects using advanced SQL and data modelling to uncover actionable business insights and identify optimization opportunities across the GTM and servicing funnels.Develop clear, data-driven recommendations to improve operational efficiency, drive revenue and retention, influence product and marketing leadership, and support company objectives (including OKR tracking).Analyze and map the end-to-end customer and broker journey (from first touch through renewal/expansion) to measure key touchpoints and propose data-informed solutions.Design and deliver robust data models, reporting solutions, automated dashboards, and performance metrics that support GTM strategy, customer success, and lifecycle marketing decisions.Integrate, clean, and synthesize data from multiple sources (marketing platforms, CRM, product usage, servicing systems, billing, external data) to build comprehensive narratives and actionable business stories.Serve as an SQL subject matter expert, mentoring junior team members and promoting best practices in query design, data modelling, and documentation.Contribute to a culture of data excellence by exemplifying quality, empathy for stakeholders, and continuous improvement in all analytics processes.Qualifications & SkillsBachelor’s degree in Statistics, Economics, Mathematics, Computer Science, or a related field (or equivalent practical experience).5+ years of professional experience in data analysis, business analytics, or a related role with demonstrated impact on marketing, GTM, or customer experience outcomes.4+ years of domain experience in the insurance industry, ideally supporting distribution, marketing, partnerships, or customer servicing.Proven expertise in SQL, including complex query design, data modelling, performance optimisation, and thorough code documentation.Knowledge of programming skills in Python, R, or a similar language for analytical workflows and reproducible analysis.Solid knowledge of analytical and statistical techniques: hypothesis testing, experiment design, data interpretation, and development of actionable recommendations.Demonstrated experience with BI/visualisation tools like Looker, Tableau, or similar, building dashboards used by leadership.Strong communication skills, presenting technical findings clearly to non-technical business and GTM audiences.Track record of effective collaboration across product, marketing, sales, customer success, operations, and cross-functional teams.Ability to context switch seamlessly between multiple areas of the business, prioritising diverse requests and adapting to varied stakeholder needs.Passion, drive, and a deep sense of responsibility.Bonus PointsExperience in insurance underwriting, insurtech, or fintech sectors.Familiarity with operational/business tools such as Amplitude, Google Analytics, Marketo, Salesforce, Segment, or Zuora.Experience with ETL and analytics workflow tools (e.g., dbt, Airflow).Experience using Cursor or other GenAI-assisted IDEs for coding and analysis productivity.Understanding of advanced topics like causal inference or other advanced statistical methods, especially for measuring marketing and servicing impact.Compensation As a remote-first organisation, compensation reflects the cost of labour across several Canadian geographic markets. In Alberta, British Columbia & Ontario the base salary ranges from $114,000 to $142,500 per year. For all other locations the base salary ranges from $102,600 to $128,250 per year. Pay within these ranges is based on factors such as education, skills, job-related knowledge, qualifications, experience, credentials, and geographic location.Benefits100% medical, dental, and vision coverageFlexible PTOAnnual home office stipend and WeWork accessMental & physical health wellness programmes such as Headspace, Lumino, and moreCompetitive compensation and opportunities for advancement#J-18808-Ljbffr