Docplanner Group
Healthcare
SalesBusinessAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Sales Business Analyst at Docplanner Group. Skills: Data analytics, Data modelling, Machine learning, Automation. Own sales data layer in data warehouse. Design sales schemas in data warehouse”
What You'll Achieve.
Sales schemas reliable and trusted; Insights delivered on time; Deliver insights under pressure; Analytical models adopted; Internal tools adopted; Reduce manual effort; Improve decision-making; Measurable impact on New Business MRR
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
3+ years of professional experience, Fluent in English, SQL is a must, Solid experience designing schemas, Solid experience querying schemas, Ability to edit dashboards, Ability to create dashboards, Comfortable working in fast-paced environment, Ability to work under pressure, Ability to deliver rigorous insights, Ability to package insights, Communicate with stakeholders, Lead working sessions, Proven experience working with multicultural teams, Navigating complex organisations
Nice to Have
Spanish language is a plus, Portuguese language is a plus, Polish language is a plus, Experience owning data warehouse schemas, Experience contributing to data warehouse schemas, Python modelling knowledge, Experience with AI tools, Experience with workflow automation platforms, Experience in internal tooling development is a plus, Prior experience in SaaS business models is a plus, Prior experience in marketplace business models is a plus
What You'll Do.
Own sales data layer in data warehouse
Design sales schemas in data warehouse
Maintain sales schemas in data warehouse
Evolve sales schemas in data warehouse
Ensure data consistency
Ensure data accessibility
Align on data pipelines
Apply machine learning
Develop internal tooling
Support sales workflows
Support sales reporting
Run data-driven experiments
Scale data-driven experiments
How You'll Work.
Team & Collaboration
Work with Data Engineering; Work with stakeholders
Communication Scope
Package insights; Communicate with stakeholders; Lead working sessions
Full Job Description
Company Description At Docplanner Group, we’re on a mission to help people live longer, healthier lives. As the world’s largest healthcare platform, each month, we connect 24 million patients with 280k doctors across 13 countries (through brands like ZnanyLekarz, Doctoralia, MioDottore, DoktorTakvimi, and jameda). Our marketplaces, SaaS and AI tools simplify daily tasks and help doctors, clinics and hospitals work more efficiently, so they can focus on what really matters: caring for their patients. Learn more about our products here: https://pro.doctoralia.es/pro.doctoralia.es http://pro.doctoralia.es Why join us? 📊 Real impact – We help doctors help patients. Your work truly makes a difference. 📈 At scale, yet agile – 3,000+ employees, but still fast, flexible, and hands-on. ✨ Shape the future, sustain growth – Make a difference now and build for long-term success. Job Description Your responsibilities will include owning the data structure of the sales organisation in our data warehouse, building the analytical models and automation that enable the team to make faster decisions, and delivering insights under pressure in a fast-moving, flexible environment. This is not a tickets-based role — you will operate with high autonomy, adapting to a changing agenda and proactively surfacing the analyses that matter most for New Business MRR. IN THIS ROLE, YOU ARE CONTRIBUTING BY… - Owning the sales data layer in the data warehouse: - Designing, maintaining, and evolving the sales schemas in our data warehouse - Ensuring data quality, consistency, and accessibility for the sales organisation - Working closely with Data Engineering to align on data models and pipelines - Independently leading data analytics and modelling with a focus on New Business MRR: - Data queries and solid understanding of data management (SQL, BI tools) - Business and financial modelling (forecasting, budget simulations, business analysis) - Machine learning application (prediction models, clusteri
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