Advanced Analytics Specialist

WHO WE ARE
When it comes to health, we’re always looking for ways to push for better. It’s why we were founded in the first place. In 1957, our founder, pharmacist William Wilkinson, witnessed a mother sacrifice her health by forgoing her own medicine to pay for her sick daughter’s prescription. He knew there had to be a better way. So, he introduced North America’s first prepaid drug plan, and Green Shield was born as a not-for-profit with a mission to support better health for all Canadians.

We aren’t just a health and benefits company. We’re the only not-for-profit social enterprise that brings worlds of coverage and care together, all in one place.
We’re noble challengers, purposefully building a better way and we need the best people to help us create a more holistic approach that takes care of the mind and body.

Our mission is to create better health for all Canadians, and we know that starts with our employees.

THE ROLE IN A NUTSHELL

Generating insights from the data and developing AI models to automate decisions and predict outcomes are key deliverables of the CoE. We are looking for an advanced data & reporting analyst to work with our Individual Insurance business to create & maintain visual dashboards, generate insights that have been identified as important to Green Shield’s individual sales success, but also very importantly for the candidate to explore and propose the art of the possible with Data and AI.

• Learn the business domain of our Individual Direct to Consumer and Group Conversion insurance programs.
• Partner with the Individual Sales and Marketing teams to develop metrics, frameworks, dashboards, and forecasts to support business oversight and ambitious net sales growth targets across multiple distribution channels with automation where relevant.
• Evaluate the efficiency of marketing and sales campaigns, from lead generation through to engagement, conversion, retention and portfolio expansion.
• Work with stakeholders throughout the organization to identify opportunities for leveraging data and AI to drive business outcomes in the Individual Insurance business unit.
• Analyze data to extract and share insights that help drive the right decisions, with key focus on optimizing performance across the entire customer journey, budget management, and overall delivery of campaign or FTE performance.
• Design and support a test & learn environment, conducting geo-experiments, A/B tests etc. to measure the impact of online and offline advertising, lead quality, operational sales effectiveness. This includes knowledge of matched market tests, holdout groups, and incrementality measurement techniques.
• Develop correlations, statistical or machine learning models to generate insights or predictions and apply to the sales operation and marketing teams campaigns and tools (e.g. marketing Mix models, propensity models for targeting & sales lead optimization, frameworks to illustrate diminishing returns).
• Maintain or innovate on existing reports and ensure consistent delivery timelines and data accuracy.
• Translate business objectives into actionable analysis and own end-to-end analytics, and effectively communicate complex analytics to a broader audience in writing and presentation formats.
• Develop and maintain a firm understanding of business needs, drivers, strategies, and targets and serve as a member of the Individual D2C sales management team.
• Design and deliver on business requests for specialized reports or deep dives into the drivers or levers influencing the individual business.
• Lead use cases related to data science and advanced analytics.
• Establish channel and budget forecasts, with speed and ownership, suggesting tactics and strategies to adjust quickly based on learnings, opportunities and business objectives.

• Undergraduate or graduate degree in data science, computer science, engineering, math, statistics, physical sciences, or equivalent.
• 3+ years of experience as data scientist or advanced analytics expert.
• 2+ years in data analytics with experience developing visualizations in tools like Tableau, Power BI, Google Data Studio, Excel, and Powerpoint.
• Experience using data…