Finance & Data /
Before you read any further: Our strength at Opencare relies on the diversity of perspective that we work hard to craft on our team. We are all solving the same set of problems from our own unique lenses, and this is fundamental to our success as a business. Experience means something different to each of us, and your unique combination of skills, passions, and experiences makes you a valuable asset to our team.
Don’t feel like you perfectly fit this role? Do us a favour and apply anyway! Take Eric for example. Eric did his undergraduate B.B.A with a specialization in Finance before joining a start-up in a growth marketing / analyst role. Bringing experience running offline marketing campaigns to Opencare, Eric has been focused on how to merge his operational experience with his data skills to provide strategic direction to our growth team. Working at the fast pace of Opencare’s Growth team, Eric has been able to level up the growth team with the insights that he drives, while continuing to develop his technical skills by taking on new projects and working with other analysts / data scientists on the team. Opencare would not be the same without him.
To enable people to have optimal health of mind and body, by ensuring they get the preventive care they need.
Opencare is re-designing the dentist visit with a focus on wellness. We live our most important life moments, from laughing and smiling to eating and talking, through our mouths. Yet for such an important body part, the thought of visiting the dentist instills fear and confusion in most people. To us, that doesn’t make any sense.
That’s why we’re rebuilding every moment of the dental experience; not only to be impactful during the visit, but life enriching afterward, too. If you never thought you’d say “Wow, I love my dentist!”, our goal is to get you there.
We believe that people reach their full potential at work when they are happy and healthy outside of work. You can learn more about our culture, as well as our professional and personal benefits here. You can also hear about it directly from our team here.
Our Data Team’s Vision
Our Data team is driven by providing meaningful insights across the business that will accelerate our growth. Our analysts and data scientists work on problems that dive deep into understanding how our customers behave and how we can serve them better because we know that when we can help someone find a great dentist and prioritize their mouth wellness it’s a win-win-win. This means that our team is focused on big problems like supply / demand balancing, multi touch attribution across multiple channels both online and offline, understanding the impact of complex communication flows, and ensuring that when we run experiments we’re learning as much as we can.
How will you help to get us there?
As a Product Analyst at Opencare, you'll spend your days working with two different sets of product data - one for our first business line, Marketplace, where we help patients find great dentists, and the second for our new Revenue Cycle Management (RCM) business line where we help dentists handle the headache of insurance billing from beginning to end. This role is the best of both worlds - a brand new product (and all the fun challenges that come with it), and an established product with years of data (and all the difficult problems we haven’t yet solved).
Your impact, six months into the role:
- Analyzing experiments we have run and helping the product team design future experiments with a focus on how to ensure we’re confident in investing in the outcomes of experiments
- Understanding the traits of our best dentists and helping us prioritize where to invest with product features (eg. response time, medium, message content, etc.)
- Delivering insights to help answer key business questions - including the basis of a new product, like “which metrics should be be looking at?” (and why?)
- Working effectively with all parts of the organization: Marketing, Customer Success, Sales, Support and collaborating directly with our Engineers and Product Managers, acting as their go-to partner in analysis
Your impact, one year into the role:
- Contributing to strategic product decisions and being the subject matter expert on what it means for our users (patients or dental practices) to be successful
- Identifying actionable, value-added optimization and efficiency opportunities, and contributing to the continuous improvement of Opencare’s data infrastructure
What skills will you bring to the team from day one?
- The exceptional ability to communicate the results of your analysis in dashboards and written and verbal reports
- A strong background writing and communicating with technical and non-technical audiences and building data and analytics processes that help teams scale
- Experience tracking and evaluating product KPIs coupled with the ability to interpret them so that we’re able to make decisions
- Demonstrated experience building and deploying reporting solutions that enable decision-making across the organization using tools such as Looker, Periscope, Amplitude, Mixpanel, etc.
- Exceptional proficiency in SQL (eg. any one of: PostgreSQL / Redshift, MySQL / MariaDB, SQLite, MSSQL, etc.)
- Comfortable working with git
- Experience with dbt and Looker (both LookML and visualizations) would be a strong asset, but not required as they can be learned on the job.
- Whether or not you’ve read them, you probably agree with a lot of dbt’s best practices and coding conventions.
What skills will you have the opportunity to develop?
- Develop your ability to build products that users love as you work closer with PM’s, Designers, and Engineers. You’ll do this by:
- Uncovering opportunities by performing and analyzing user interviews
- Assessing features and building a thoughtful product roadmap
- Deeply understanding and being a thought leader at Opencare on what makes users successful in our product
- Grow your skills in data engineering and data science by working with Opencare’s Data team. This could include:
- Developing modeling and coding skills (Python / R), including machine learning techniques
- Diving deep on how to communicate data to both technical and non-technical audiences
- Actively engaging in data and analytics infrastructure / tool selection and implementation