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You will be updated with latest job alerts via emailWe are currently looking for a data-driven and results-oriented Senior Data Analyst to join our Global Visibility Products team. You will play a pivotal role in identifying and executing on growth levers for these products. Your responsibilities will include analyzing data to uncover opportunities in acquisition cross-selling upselling product portfolio enhancement package design pricing optimization and other levers to unlock value from our future and existing customer base. This is a unique opportunity to work at the intersection of data and strategy driving insight through analysis to then align and execute in a scale-up environment.
In this role you will contribute by
Independently leading data analytics and modeling with a special focus on MRR increase:
Data queries and solid understanding of data management topics (SQL BI tools)
Business/financial modeling (business analysis forecasting budget simulations)
Machine learning application (prediction models clustering decision trees etc.)
Supporting the execution of key strategic projects to drive acquisition cross-sell/upsell/pricing & packaging initiatives across our footprint working hand in hand with local teams:
Liaise with in-market stakeholders to present insights from your analyses and come up with actionable recommendations (e.g. optimizing processes fixing pricing of an expansion product proposing product modifications modifying package design)
Overall project management for selected initiatives in the Visibility portfolio (align on project scope and plan monitor execution resolve issues etc.)
Co-design run and scale experiments in acquisition cross-sell/upsell/pricing & packaging from one market into global projects.
Support the design and constant optimization of the global Visibility Products organization within the Customers function through:
Productivity (product automations operations effort optimisation and capacity utilisation)
Best practices (cross-market sharing external expertise/benchmarks)
Insights (data analysis research projects experimentation)
How we define success for this role:
Delivery of data analyses based on agreed scope - timely with attention to detail factoring in stakeholders inputs and business context
Successful execution of projects/initiatives based on insights derived from data analysis (focused on MRR growth)
Qualifications :
What will help you thrive
Youre fluent in English (any other languages - e.g. Spanish Portuguese Polish etc. - is a plus!)
Ideally a Business Data Science Statistics Math/Physics Finance or other quantitatively oriented educational background with solid business fundamentals
Technical expertise in working with large data sets:
knowledge of Tableau/SuperSet / other BI tools - ability to edit/create dashboards
knowledge of SQL and experience in working with databases - e.g. from prior BI experience
desirable but not mandatory - knowledge and passion for data science (Python modeling experience; knowledge of the key data science algorithms: clustering regression decision trees x-gradient boost etc.)
Prior experience working in SaaS and/or marketplace business model (either as operator in consulting / investing capacity) - experience in start-up/scale-up environment and passion for technology or healthcare is a plus
Prior experience in business analysis and modelling will be a plus (financial models forecasting business performance measurement etc.)
Ability to package insights and communicate with stakeholders / lead working sessions with larger teams
Desirable proven experience in designing and implementing advanced analytics (data preparation feature engineering sample management model validation and productization)
Proven experience working with multicultural teams demonstrated communication skills and ability to navigate within a complex organisation
Demonstrated experience in collaborating with go-to-market operations data engineering and product teams.
Additional Information :
What to Expect from Our Hiring Process
We like to keep things transparent and efficient! Heres what the process usually looks like (though it might vary slightly depending on the role):
1 Intro Chat A first call with our Talent Partner Giuliana to explore mutual fit around relevant skills value alignment and motivation.
2 Hiring Manager Interview A deeper dive into your experience and aspirations with your future manager Joao Global Head of Visibility Products who youll be reporting to in this role. Take this chance to ask anything on your mindits just as much about making sure were the right fit for you too.
4Business Case Dedicated prep time to showcase your problem-solving and strategic thinking followed by a collaborative session with the hiring manager and team to walk through your findings together.
5 Final Interview - with the team.
6References & Offer!
Why Youll Love It Here
Global Benefits No matter where you are youll have access to:
Local Perks Depending on your location you will be entitled to local benefits like meal vouchers (ticket restaurant) transport allowances or extended parental leave.
Career Growth Were growing and so can you! Youll find lots of chances to learn develop and explore new pathswhether within your team or through cross-functional projects.
A Truly Global Team Work with talented people from all over the world in a diverse and inclusive environment.
Flexibility That Works for You Remote work and flexible hours arent just buzzwords here. While the extent of flexibility depends on your role and team we value results over rigid schedules. Prefer an office setting Youre welcome at any of our hubs in Barcelona Warsaw Curitiba Rio de Janeiro Mexico City Bogot Munich Rome or Bologna.
Please note: At this time we are not able to sponsor visas for this position. To apply you must already have the legal right to work in your country of residence or the location of the role.
What We Believe In
At Docplanner our values guide everything we do:
Focus on results were here to make an impact.
Think like an owner take responsibility drive outcomes.
Keep it simple keep it lean smart solutions over complexity.
Be respectful and radically honest openness builds trust.
Learn and be curious growth is part of the job.
Dont just take our word for itcheck out our Glassdoor to hear what our people say!
We are committed to building a team that represents a variety of backgrounds perspectives and skills. We welcome applicants from all walks of life regardless of gender disability or background and are dedicated to fostering an inclusive workplace where everyone feels valued and empowered to contribute.
Remote Work :
Yes
Employment Type :
Full-time
Remote