Product Analytics Team Lead - Customers Area (100% remote-friendly within Spain)

Company Description

Welcome to the good side of tech 👋

You might have heard about us, but with a different name: Doctoralia. It all started 10 years ago, when we asked ourselves: is anyone in healthcare thinking about patients? We jumped in and we empowered patients by giving them access to leave and read reviews about their visit. We then provided doctors with the technology to manage bookings easily and save time, so they could devote themselves to what they always wanted: treating patients. And today is the day in which we ask you: wanna join us in the next step of making the healthcare experience more human?

Docplanner at scale

We are leaders in 13 countries so far, and more than 90 million patients trust us every month. 300k+ specialists believe in us and our product, and so do leading venture capital funds such as Point Nine Capital, Goldman Sachs Asset Management and One Peak Partners. And yet, employing over 2.500 people all over the globe, we managed to keep the startup-mindset we started with over 10 years ago.

How does Docplanner Tech fit here?

At Docplanner Tech we are a diverse group of over 400 people working in Engineering, Data, and Product teams. We are responsible for building the product for all locations. Many of us have been here for over 5 years, yet we still welcome each new person with great joy and excitement.

We could tell you about us, but we will let our reviews on Glassdoor speak for themselves. In case you’d like to see how it feels to be 100% yourself at work, here’s a video of us. 

And why should you join us?

Because it feels good to tell your family and your friends how you made the world a little bit better. You go to bed knowing that what you do matters, and that your talents align with your beliefs.

We want to make the healthcare experience more human, and that starts with you being you. We believe that taking the diversity of human experience into account makes a better healthcare experience for all . We’re not just different: we embrace diversity. We will encourage you to come to work your whole self, and that includes not coming to the office at all if you prefer not to, as we're 100% remote friendly.

Job Description

As a Product Analytics Team Leader, you will be responsible for leading a team of product analysts within the Customer's product areas. You will work closely with cross-functional teams including product management, engineering, developers, research, and design to identify opportunities for collaboration and product improvement. You will help ensure the reliability and availability of data to help drive decision-making and business success.

What are this role’s key responsibilities?

• Collaborate with product leads/managers to identify and prioritise projects that are linked to key metrics and performance indicators.

• Define KPIs and maintain consistent definitions of metrics across the various teams. 

• Partner with Research, Business Intelligence and Data Engineering teams to create a knowledge-based culture and environment.

• Develop and maintain best practices for data analysis and reporting.

• Manage projects from conception through completion, ensuring deadlines and deliverables are met.

• Experiment with AI/ML solutions that can eventually reach production.

• Train and mentor team members on best practices for data analysis, reporting and visualisation.

• Lead and manage a team of product analysts in analysing product data and measuring product performance.

• Be responsible for the growth and happiness of the team members.

• Support analysts, set expectations, provide regular feedback & keep team members accountable.

• Help keep the culture and values inside our analytics team by embracing each individual.

Qualifications

What skills and experiences are needed?

• You can execute complex queries with SQL and are familiar working with database management systems and cloud-based data warehouse.

• You have good knowledge of Python.

• You are an expert of Business Intelligence tools such as Tableau, Looker, and Mode.

• You have experience with typical Product Analytics challenges like user tracking, A/B testing, and experimentation.

• You are familiar with how complex Product organizations in the SaaS market operate - from research to experimentation.

• You are an excellent communicator - you