Data Analyst II - Analyst

Being a part of BrokerLink, means you live our values: to act with integrity, be respectful of others, have a customer-driven mindset, strive for excellence and always treat others with generosity. These values drive our diversity and inclusion efforts to ensure a respectful and inclusive work environment is present.

We want like-minded individuals who want to provide the highest level of customer service, who carry themselves with utmost professionalism.

We want to invest in you! Your success is our success and our purpose of “we’re here to help people” is what motivates us to keep the amazing talent we attract, for a long time. We want to bring out the best of all our team members! Offering countless opportunities to grow and an environment which values our most important assets, you, our team members. We have over 200 offices across Canada, ask us about our flexible work arrangements!

Pay at BrokerLink is about much more than just salary.

• Flexible work arrangements
• Multiple benefits offered to support physical and mental wellbeing, Wellness account and much more
• Share plan & other savings

Salary Range (but Not Limited To)

69,200 - 84,600

Incentive plan

Annual bonus: 7.5% target, based on the base salary, with a potential payout of up to 200% (subject to personal and company performance)

As part of our commitment to Win As A Team, we share our success with employees through our incentive programs and Employee Share Purchase Plan (ESPP) – with BrokerLink matching a portion of your contributions.

Our Group RRSP, with company matching DPSP offerings provide flexibility and long-term security for our employees beyond their careers.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, location etc. The salary range presented below is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.

About The Role

We are looking for a Data Analyst with a strong actuarial or quantitative foundation who thrives in a fast-paced environment and enjoys working closely with the business to drive decision-making. This role is ideal for a data-driven storyteller—someone who not only builds robust analytical solutions, but can translate results into compelling narratives that influence business strategy and execution.

What You'll Do Here

• Analyze large, complex datasets from multiple sources to uncover insights related to growth, retention, pricing, segmentation, and performance drivers
• Develop, maintain, and enhance analytical and predictive models that inform business decisions and improve customer and broker outcomes
• Partner with business, Finance, and operational leaders to frame problems, evaluate options, and support the development of actionable plans
• Monitor KPIs and trends, explain variance and outliers, and provide clear insights into results and productivity
• Translate analytical findings into clear, compelling stories for both technical and non‑technical audiences
• Design, build, and maintain Power BI reports and dashboards, including supporting ad‑hoc analysis as new needs arise
• Ensure data quality by consolidating, validating, and documenting data from multiple systems and sources
• Proactively identify new data elements and analytical opportunities that deepen understanding of business performance
• Apply strong quantitative and actuarial‑style reasoning to solve complex problems and make well‑supported recommendations
• Lead strategic analytics initiatives within defined problem areas, managing timelines and ambiguity
• Contribute to continuous improvement by challenging existing processes and advancing analytics best practices

What You Bring To The Table

• University degree in a quantitative discipline such as Actuarial Science, Mathematics, Statistics, Economics, Finance, Data Science, or a related field (or equivalent practical experience)
• 3–5+ years of experience in data analytics, actuarial, or advanced quantitative roles; P&C insurance experience is an asset
• Strong quantitative foundation in data analysis, statistical modeling, and problem‑solving with the ability to have a proactive, analytical, and curious mindset with a continuous‑improvement approach
• Experience working with large, complex datasets from multiple sources, with a strong focus on data quality and validation
• Proficiency in SQL programming is required
• Experience developing dashboards or reports using Power BI, or a strong willingness to learn
• Ability to clearly communicate analytical insights and recommendations to both technical and non‑technical audiences
• Strong critical thinking and attention to detail, with the ability to explain variance, trends, and results
• Effective time management and organization skills, able to manage multiple prior