Senior Expansion Analyst
Senior Expansion Analyst
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Job Description
What makes this role exciting
We are seeking a datadriven and resultsoriented Senior Expansion Analyst to join our Global Expansion team. Reporting directly to the Global Head of Expansion who leads growth initiatives across our footprint you will play a pivotal role in building and executing Expansion strategy for Docplanner. Your responsibilities will include analyzing data to uncover opportunities in crossselling upselling product portfolio enhancement package design pricing optimization and other levers to unlock value from our 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 scaleup environment.
In this role you are contributing by...
Independently leading data analytics and modeling with a special focus on MRR increase from current customer base:
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 do drive crosssell/upsell/pricing & packaging initiatives across our footprint working hand in hand with local expansion teams:
Liaise with inmarket 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 expansion portfolio (align on project scope and plan monitor execution resolve issues etc.)
Codesign run and scale experiments in crosssell/upsell/pricing & packaging from one market into global projects
Supporting the design and constant optimization of the global Expansion organization within the Customer function through:
Productivity (product automations operations effort optimisation and capacity utilisation)
Best practices (crossmarket sharing external expertise/benchmarks)
Insights (data analysis research projects experimentation)
How do we define success in this position:
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)
In this role youre working super closely with and reporting directly to Maciej our Global Head of Expansion within a broader Customer organization led by our CCO Konrad. You will also have high exposure to other senior stakeholders across the organisation including country CEOs and global leadership.
This role is remote first but you will be able to work from any of our global offices (e.g. Warsaw Barcelona Mexico City Curitiba Rome).
Qualifications :
What makes you a great fit
You have 36 years of professional experience
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 / Power BI / 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 xgradient boost etc.)
Prior experience working in SaaS and/or marketplace business model (either as operator in consulting / investing capacity) experience in startup/scaleup 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 gotomarket operations data engineering and product teams
Additional Information :
The process (preliminary outline)
30 min intro call with Ainhoa (Global talent partner) followed by feedback from both sides regarding role fit :)
60 min interview with Maciej our Global Head Expansion your manager in this role (experience match fit into the team)
Business exercise (a databased problem solving task) incl. preparation time followed by a 60 min presentation meeting with Maciej & Konrad to discuss your thoughts and findings
Optional additional interview with other senior leader from our Global CS Team
References & Offer
Benefits
- Share options plan after six months working with us vesting in 5 years (subject to separate ESOP agreement and plan)
- Gym membership (reduced price)
- Health Insurance paid by the company
- Flexible retribution plan benefits
- Mental health program (iFeel)
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 color 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 youre reading theres a person (hi!) who already helped a candidate by adapting the interviews and now were lucky to have this person with us. So even if youve 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.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
