Alex P.
Senior Data Analyst Ii @Sun Life
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WORK HISTORY
Senior Data Analyst Ii @Sun Life
Montreal, QC, CA
I work with the Wealth & Insurance Client Analytics team to build data products and deliver analysis that powers strategic decisions.This is a dual role that is part Data Engineer, and part Data Analyst. Part of my time is spent developing scalable data products that enable teams to make data driven decisions, while the remainder is spent providing analysis, insights, and reporting directly to senior leadership myself. My focus is on turning complex and sometimes messy data into clear, actionable information that drives measurable outcomes.As a subject matter expert, I’ve helped define the roadmap, standards, and best practices that guide how analytics teams leverage data, ensuring accuracy, consistency, and scalability across the organization.Our work is built in an AWS cloud environment with Glue, Lambda, and Athena, using Python, Spark, and SQL. Once the ETL process is complete, I deliver datasets, dashboards, and insights via Tableau, to provide stakeholders with timely, actionable intelligence.Beyond technical execution, I’m passionate about mentoring teammates, fostering collaboration, and building a tight, cohesive team culture that enables everyone to succeed.
SKILLS
ABOUT ALEX P.
With nearly 20 years in tech, I’ve worn many hats. I started off as a QA tester and was among the first to get to try the original iPhone at the forefront of the mobile revolution that has since dominated modern life. Later I moved into Project Management for Mobile App and Web projects, before pivoting into SEO, and finally Data Analytics. These experiences shaped my adaptability, nurtured my strong communication skills, and gave me a unique perspective on how technology, data, and user experience intersect. That perspective allows me to approach challenges from multiple angles and deliver novel and timely solutions.Today, I specialize in: Data product development – Designing scalable solutions that unlock the value of data. Reporting & Monitoring – Providing clear, concise answers to “What’s happening?” Data Analysis – Turning complex data into easily digestible insights. Uncovering the \"Why?\" and \"How?\" behind the data. Analytics strategy – Defining standards, roadmaps, and best practices to ensure speed, accuracy, and consistency. Stakeholder engagement – Building trust through transparency and collaboration.I have assembled a well stocked technical toolkit that includes languages like Python and SQL; environments such as AWS, Azure, and SAS; frameworks such as Spark and Hadoop, and BI tools like Tableau, Power BI, Adobe Analytics, and Domo. Beyond technical execution, I’m passionate about mentoring colleagues and fostering a collaborative culture where everyone can thrive. Strong relationships; honest, clear communication; and a commitment to data driven decision making are at the core of everything I do.
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