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Analytics Engineering Manager (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: Znanylekarz. 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. 280.000 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 2.900 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 ~325 people working in teams that include engineers, designers, product managers, data and research. We are responsible for building the product for all locations. Taking care about talent matters to us, that's why the engineering team has an amazing balance of new team members and people that have been in DP for years.

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

Area of work

The Data Platform is a central piece of the data operations at Docplanner. We are more than a central hub for analytical data across the company: we are responsible for ensuring that every team has the data and tools they need. We serve teams across the whole company, we collaborate to bring the best insights to life together, we bring software development standards to the analytics world. 

We are here because we know for a fact that data is crucial to make the healthcare experience more humane.

The Data Platform aims to provide all teams with self-service, flexible and scalable solutions for their data needs. The platform is being developed to provide easy access, seamless experience, and allow for autonomous curation, modelling, and reprocessing of data.

Role

We seek a strategic leader to join our company as the Engineering Manager for the Analytics Engineering Team, a group dedicated to data modelling, DWH engineering and web tracking. The team's mission is to provide both platform-as-a-product solutions for internal customers, but also to serve as an enabler and consultant for their autonomous work.

On the side of data modelling, the team is accountable for the DWH as an internal customer-facing product as a whole, including overhauling the data model with the newest approach of Data Vault with dbt, designing & building data domains, managing Redshift cluster and more.

The web tracking accountability is to ensure accurate, reliable and consistent collection of data across our diverse platforms and products. The Team owns tracking strategies including tooling and implementation across our products.

Your role will be essential also in the context of Data Governance initiatives: you will focus on designing and enforcing both data modelling and tracking governance, ensuring data integrity to support our decision making processes.

What you will be doing

Managing the team

  • Lead a team of 5+ multi-disciplinary engineers and specialists and be responsible for their growth and happiness.

  • Facilitate the technical decision in the proper direction that meets the requirements.

  • Work closely with the technical leader of the team to develop an accurate technological strategy.

  • Facilitate communication within the team and across different departments to ensure alignment on project goals and objectives.

  • Build the team’s mission collaboratively and ensure that all decisions align with and aim to achieve this mission.

Product management

  • Internal Product management.

  • Understand and focus on your customer's needs.

  • Foster Platform as a Product approach.

  • Own process from discovery to delivery.

  • Facilitate OKR process.

  • Enhance and facilitate communication between the team and its surroundings.

  • Set and clearly communicate the team roadmap to achieve the mission and goals.

Managing the project

  • Develop project scopes and objectives, involving all relevant stakeholders and ensuring technical feasibility.

  • Act as a hands-on project manager and people leader throughout the process.

  • Ensure that all projects are delivered on time within scope and budget.

  • Build strong relationships with stakeholders, tech leaders, product, analytics, operations, legal and security teams.

Develop people

  • Provide guidance, mentorship, and coaching inside the team.

  • Provide regular feedback to team members and help them set and achieve personal career goals.

  • Regularly assess the performance of team members.

Qualifications

What will help you thrive?

  • Proven experience as a leader in the development of multi-purpose environments or related fields.

  • Experience in team building and leadership, with excellent mentorship and coaching skills.

  • Strong technological background related to data warehousing and data tracking.

  • Proven Product management experience in Data scope.

  • Strong project management skills and experience managing projects end-to-end, ensuring timely delivery and alignment with business goals.

  • Excellent communication and interpersonal skills.

  • Growth mindset: nobody ticks all those boxes above, but a willingness to learn is strongly valued here.

Which technical skills are required for this role?

  • Deep understanding of BI and data modeling approaches, newer market trends and best practices (Data Vault, Kimball, Data Mesh, etc).

  • Strong skills in Python and SQL, following good coding practices.

  • Hands-on experience with orchestrators like Airflow or Dagster.

  • Track record with large scale rollout initiatives of dbt.

  • Ability to work collaboratively and adopt code versioning best practices (git).

Which skills are ‘bonus points’?

  • High level knowledge of Spark and Scala language are nice to have. 

  • Hands-on experience with cloud technologies and data tools (e.g.: AWS ecosystem, BI data visualization tools).

  • Proficiency with data tracking tools, customer data platforms (CDPs) and consent management platforms (CMPs) (e.g.: Google Analytics, Adobe Analytics, Amplitude, Mixpanel, Segment, Rudderstack, or similar).

Additional Information

Let’s talk money

  • salary adequate to your experience and skills, between 75.000€ - 85.000€The range is broad so that we can accommodate our roles for all levels of experience, but we will show you the career ladder to explain where we see your skills and impact within the company". Your salary will be, now and always, 100% transparent to you;
  • Flexible remuneration and benefits system via Flexohwhich includes: restaurant card, transportation card, kindergarten, and training tax savings;
  • Share options plan after 6 months of working with us.

 

True flexibility and work-life balance

  • Remote or hybrid work model with our hub in Barcelona;
  • Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly);
  • Summer intensive schedule during July and August (work 7 hours, finish earlier);
  • 23 paid holidays, with exchangeable local bank holidays;
  • Additional paid holiday on your birthday or work anniversary (you choose what you want to celebrate).

 

Health comes first 

  • Private healthcare plan with Adeslas for you and subsidized for your family (medical and dental);
  • Access to hundreds of gyms for a symbolic fee in partnership for you and your family with Wellhub;
  • Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling. 

 

We promote and embrace equal opportunities in our hiring process, and also every day at work. When you apply for our roles you receive equal treatment regardless of age, disabilities, gender reassignment, marital or civil partner status, pregnancy or parental status, race, colour, nationality, ethnic or national origin, religion or belief, sex, sexual orientation or any other dimension of human difference.  If you require additional support in your recruitment process, we kindly encourage you to let us know. Behind those words you’re reading, there’s a person (hi!) who already helped a candidate by adapting the interviews, and now we’re lucky to have this person with us. So, even if you’ve never asked for it before, may this serve as a sign that, now, you can do so. We can only truly be equal if we adapt to each other.

“We believe all humans, in all their beautiful diversity, should have equal rights, dignity and respect. Period.” Mariusz Gralewski,  CEO

 

DocPlanner Glassdoor Company Review
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Average salary estimate

$80000 / YEARLY (est.)
min
max
$75000K
$85000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Analytics Engineering Manager (100% remote-friendly within Spain), DocPlanner

Are you ready to make an impact in the healthcare space? We at Docplanner are on the lookout for an Analytics Engineering Manager to join our remote-friendly team based in Barcelona, Spain. You might know us as Znanylekarz, but our mission remains the same: enhancing the healthcare experience for everyone. This role is perfect for a strategic leader who thrives in a collaborative environment. As part of the Data Platform team, you will oversee a multi-disciplinary group committed to data modeling, data warehouse engineering, and web tracking. Your day-to-day will involve not just managing and mentoring your team but also developing internal product management for our analytics solutions. We believe that data is critical for making healthcare more humane, and your expertise in governance and data integrity will play a vital role. If you have a robust background in BI, Python, and SQL, along with a passion for leading people, this is your chance to help us empower both patients and healthcare professionals alike. Join us, and work towards a mission that truly matters, all from the comfort of your home or our hybrid hub in Barcelona. Plus, embrace the flexibility with hours that work for you and a vibrant workplace culture that values diversity and individual growth.

Frequently Asked Questions (FAQs) for Analytics Engineering Manager (100% remote-friendly within Spain) Role at DocPlanner
What are the responsibilities of an Analytics Engineering Manager at Docplanner?

As an Analytics Engineering Manager at Docplanner, you will lead a team of multi-disciplinary engineers focused on data modeling and web tracking. Your responsibilities will include facilitating technical decisions, overseeing internal product management, and ensuring that all projects are delivered on time and within scope. You will also play a key role in mentoring your team, fostering a supportive work environment, and ensuring data integrity across our analytics offerings.

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What qualifications are required for the Analytics Engineering Manager position at Docplanner?

To thrive as an Analytics Engineering Manager at Docplanner, candidates should have proven experience in team leadership and a strong background in data warehousing and tracking. A solid understanding of BI and data modeling trends, experience with Python and SQL, as well as hands-on familiarity with orchestrators like Airflow or Dagster, is essential. Additionally, effective communication skills and a growth mindset are highly valued.

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Is the Analytics Engineering Manager position at Docplanner remote?

Yes! The Analytics Engineering Manager role at Docplanner is designed to be fully remote-friendly. Whether you prefer to work from home or attend our hub in Barcelona, we support a flexible working environment that values work-life balance while you contribute to our mission of making healthcare more humane.

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What is the team structure for the Analytics Engineering Manager role at Docplanner?

In the Analytics Engineering Manager role at Docplanner, you will oversee a diverse team of over 5 engineers and specialists dedicated to analytics. You will work closely with your team to set the group’s mission, facilitate communication, and ensure alignment on project goals. By providing guidance, mentorship, and feedback, you'll play an essential role in their professional growth.

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What does the career growth look like for an Analytics Engineering Manager at Docplanner?

At Docplanner, career growth is at the forefront of our values. As an Analytics Engineering Manager, you will have the opportunity to develop new skills, spearhead projects, and mentor your team, which is essential for personal and professional growth. Additionally, we provide transparent salary ranges and pathways for advancement within the company as you make impactful contributions.

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Common Interview Questions for Analytics Engineering Manager (100% remote-friendly within Spain)
How do you approach team management in the role of Analytics Engineering Manager?

An effective strategy for managing your team is to foster open communication, set clear expectations, and focus on alignment with project goals. Emphasize the importance of collaboration and encourage team members to share their ideas and feedback, creating a culture of mutual respect that leads to high-performance outcomes.

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Can you discuss a challenging analytics project you managed in the past?

When discussing a challenging project, outline the objectives, obstacles faced, and the strategies you implemented to overcome them. Highlight your role in managing stakeholder expectations, facilitating communication among teams, and driving the project to successful completion. Focus on the lessons learned and how they contributed to your growth as a leader.

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What data modeling methodologies are you familiar with, and how have you implemented them?

Be sure to mention methodologies such as Data Vault, Kimball, or Data Mesh. Discuss specific projects where you applied these methodologies, outlining the challenges faced and how you addressed them. Emphasize your understanding of best practices and how they contributed to successful outcomes.

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How do you ensure data integrity and accuracy in a distributed analytics environment?

Ensuring data integrity involves establishing rigorous data governance protocols, implementing tracking strategies, and regularly auditing data collection processes. Discuss your experience with these aspects and emphasize the importance of collaboration with technical teams to maintain a reliable data ecosystem.

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What is your experience with product management within data analytics?

Share your understanding of the product life cycle, from discovery through delivery. Discuss how you prioritize features based on customer needs, gather feedback for continuous improvement, and ensure alignment with business goals in your previous product management roles.

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How do you mentor and support your team members in their professional development?

Discuss the importance of providing regular feedback, setting personal development goals, and creating opportunities for team members to learn and grow. Bring up specific mentorship experiences that led to tangible outcomes in their career advancement.

Join Rise to see the full answer
Can you describe your experience with tools like Airflow or Dagster?

Highlight any hands-on experiences you've had with orchestrators, including specific projects where these tools were employed. Discuss how these tools have improved workflows or data processing capabilities in your previous roles, emphasizing the benefits derived from their implementation.

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What strategies do you use to handle conflicts within the team?

It’s important to remain calm and focused on resolving issues. Explain how you encourage open communication to address conflicts proactively, facilitate discussions to understand different perspectives, and foster a solution-oriented environment that helps maintain team harmony.

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How do you stay updated with the latest trends in analytics and data engineering?

Share resources you utilize, such as industry blogs, online courses, webinars, and networking with professionals. Discuss any communities you’re part of or conferences you attend to enhance your skills and keep abreast of market trends.

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Why do you want to work for Docplanner as an Analytics Engineering Manager?

Express your alignment with Docplanner's mission to enhance the human side of healthcare. Highlight how your skills and experience match the needs of the role and how you're excited about contributing to a team that values diversity and collaboration in a meaningful way.

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Full-time, remote
DATE POSTED
January 28, 2025

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