Senior Data Analyst

Turo•Toronto, ON

2d•CA$114,000 - CA$143,000•Hybrid

About The Position

Turo is seeking a Senior Data Analyst to join their growing Toronto team to drive Turo’s growth in Canada. This role will collaborate closely with the leadership team in Canada, Product, Claims Operations, Marketplace Support, and Engineering. The focus will be on driving business performance across the marketplace, including profitability, supply availability, and conversion. The ideal candidate is a self-starter comfortable with ambiguity, possesses strong quantitative and analytics skills, an ownership mindset, excellent communication skills, and the ability to learn quickly.

Requirements

3-5 years of using analytics to drive strategic business decisions (e.g., product/data analytics, data science, business intelligence, or strategy consulting).
Top-notch quantitative skills; strong proficiency in conducting detailed data analysis and using metrics to drive business results.
Extensive experience with SQL required.
Experience transforming data into presentations that “tell the story” behind the data.
Very strong attention to detail.
Comfortable working with various data sources, having the ability to identify inaccuracies and root cause of data issues.
Strong communication skills and ability to articulate complex insights.
Must be comfortable operating independently, helping to drive analysis forward with limited guidance.
Must have a positive attitude, high integrity, be self-motivated and have strong work ethic.

Nice To Haves

Experience in consumer tech, marketplaces or e-commerce a strong plus.
Additional experience with BI & visualization tools is a strong plus (i.e. DOMO, Tableau).

Responsibilities

Analyze complex data sets to identify areas of opportunity, formulate actionable recommendations, and test these insights.
Present analysis and recommendations to the Canadian leadership team to help address business questions and generate growth.
Develop a keen understanding of the Canadian business and help to optimize profitability in the market.
Identify opportunities for key business areas such as supply, demand, and conversion through rigorous data analysis.
Develop implementation plans with stakeholders and help to quantify ROI of initiatives.
Design and build dashboards to monitor performance metrics.
Maintain analytics pipelines to ensure the highest levels of accuracy in reporting.
Communicate metrics/KPIs to business leaders, explaining the business reasons for changes in business trends.
Partner with product, data science, and operations leadership to influence the direction of the product with the goal of improving user experience and profitability.
Build scalable solutions that facilitate data consumption by different stakeholders.