Data and Analytics Intern (Summer 2027)
- Toronto, ON, Canada
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Job details
- Posting language
- English
- Posted
Original job description
About the Role
We're looking for a Data & Analytics Intern to join our Data team and help turn exacare ai's rich operational and clinical data into useful insights, reporting, and tools for customers and internal teams. You'll work closely with the Data Lead, Product, Sales, and BizOps to build customer-facing dashboards, answer important business questions, and help identify opportunities to make data and analytics a more valuable part of our product and customer experience.
This role is a great fit for someone who wants hands-on experience at a fast-moving healthcare startup, enjoys working with data and solving ambiguous problems, and is excited to turn analysis into clear, practical recommendations.
What You’ll Do
- Support the development of customer-facing dashboards, reports, and data-driven materials
- Analyze operational, product, and customer data to identify trends, benchmarks, and opportunities that create value for our customers
- Assist with developing internal analytics use cases that help Sales, BizOps, Product, and leadership make better decisions
- Work closely with customers and cross-functional partners to gather data requirements, validate outputs, and translate business questions into analytical insights and roadmap opportunities
- Help organize and respond to reporting requests from customers, while identifying opportunities to standardize and improve processes
- Support the Product team in defining reporting needs for new features and evaluating how customers use data and analytics
- Help document data definitions, reporting processes, and best practices so our analytics work can scale
- Take on independent projects in Data & Analytics as you ramp up
What You’ll Bring
- Currently pursuing (or recently completed) a degree in Business, Computer Science, Engineering, Statistics, Economics, Mathematics, or a related field
- Stellar track record as a top performer in academic and previous experience.
- Strong analytical and problem-solving skills, with comfort working in Excel or Google Sheets
- Curiosity about data analytics, product analytics, B2B software, or health tech; prior experience is a bonus, not a requirement
- Experience with, or interest in learning, SQL, BI tools, dashboards, or data visualization
- Ability to communicate data and insights clearly to both technical and non-technical audiences
- Comfort with ambiguity and a bias toward action; you'd rather try something and iterate than wait for the perfect brief
- Detail-oriented, organized, and able to juggle multiple projects at once
- Genuine interest in healthcare, startups, or building things from scratch
Benefits and Perks
- Competitive salary, with the potential to build toward a full-time opportunity at exacare ai
- Hands-on mentorship and the opportunity to work closely with experienced leaders across the business
- Meaningful ownership from day one on projects that directly support our growth
- Hybrid work from our Toronto office at King & Spadina
- A high-achieving, collaborative team including ex-FAANG engineers and alumni of Bain, BCG, Goldman Sachs, and more
- Great startup culture, including team events and company off-sites
Insight into our Core Values
Only the best belong here
We are unapologetic about talent. This should be the best team you have ever been on. Protecting that standard is how we honor each other’s time, ambition, and craft.
We work even harder to keep our partners than we did to earn them initially
The work does not stop when a customer first onboards to our platform. It deepens over time. We partner with operators, listening and learning about real problems, and translate that into solutions that help them succeed in practice. We earn trust through consistent delivery.
We keep the patient downstream of every decision
At the end of the day, this is about the patient. We get there by deeply respecting and reflecting on our purpose: to develop software that aids teams in delivering better care.
Raise the bar on ownership
We grow because people here go beyond the minimum. We invest extra effort, care, and ownership into what we build.
The world is moving fast. We move faster.
This is a race. We work hard, we move early, and we stay ahead of problems and competitors. If we slow down, someone else will pass us.
Radical candor, zero politics
We say what’s true, early, and we keep communication direct and clean so the team can move.
Bring good vibes and win together
We win as a team. We bring energy, support each other, and make the workplace somewhere people are excited to show up.
If this sounds like you, we'd love to have a chat!
More about this job
Responsibilities
The intern will support the development of customer-facing dashboards and analyze operational data to identify trends and benchmarks. They will also collaborate with cross-functional teams to gather requirements and translate business questions into actionable analytical insights.
Requirements
Candidates should be pursuing or have recently completed a degree in a quantitative field such as Business, Computer Science, Engineering, or Statistics. Strong analytical skills, proficiency in Excel or Google Sheets, and an interest in SQL or data visualization tools are required.
Skills
- Data analysis
- Excel
- Google Sheets
- SQL
- BI tools
- Data visualization
- Dashboard development
- Reporting
- Problem-solving
- Communication
- Product analytics
- B2B software
- Health tech
- Analytical skills
Benefits
- Competitive salary
- Mentorship
- Hybrid work
- Team events
- Company off-sites
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Healthcare
- Software
- Technology
- Consulting
Keywords
- Data Analytics
- Healthcare
- Startup
- Dashboard
- SQL
- Excel
- Google Sheets
- BI Tools
- Product Analytics
- B2B Software
- Health Tech
- Data Visualization
- Reporting
- Business Intelligence
- Operational Data
- Clinical Data
- Data Lead
- Product Management
- Sales
- BizOps
- Customer Experience
- Trend Analysis
- Benchmarking
- Data Definitions
- Scalability