Senior Data Analyst

Summary

Join Docplanner Group as a Senior Expansion Analyst and drive revenue expansion by analyzing data, identifying business opportunities, and executing strategies to maximize monetization from existing customers. Reporting to the Global Head of Expansion, you will play a key role in building and executing expansion strategy. Responsibilities include data analysis to uncover opportunities in cross-selling, upselling, and pricing optimization. You will collaborate with local expansion teams, manage projects, and contribute to the optimization of the global expansion organization. This remote-first role offers opportunities to work from various global offices. Success is defined by timely delivery of data analyses and successful execution of projects focused on MRR growth.

Requirements

• Have 3-6 years of professional experience
• Be fluent in English
• Ideally, have a Business, Data Science, Statistics, Math/Physics, Finance or other quantitatively oriented educational background with solid business fundamentals
• Possess 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
• Have the ability to package insights and communicate with stakeholders / lead working sessions with larger teams
• Have proven experience working with multicultural teams, demonstrated communication skills and ability to navigate within a complex organization
• Have demonstrated experience in collaborating with go-to-market, operations, data engineering and product teams

Responsibilities

• Independently lead data analytics and modeling with a special focus on MRR increase from the current customer base
• Perform data queries and demonstrate a solid understanding of data management topics (SQL, BI tools)
• Conduct business/financial modeling (business analysis, forecasting, budget simulations)
• Apply machine learning (prediction models, clustering, decision trees etc.)
• Support the execution of key strategic projects to drive cross-sell/upsell/pricing & packaging initiatives across our footprint, working hand in hand with local expansion 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)
• Manage overall projects for selected initiatives in the expansion portfolio (align on project scope and plan, monitor execution, resolve issues etc.)
• Co-design, run and scale experiments in cross-sell/upsell/pricing & packaging from one market into global projects
• Support the design and constant optimization of the global Expansion organization within the Customer function, through productivity (product automations, operations effort optimization and capacity utilization), best practices (cross-market sharing, external expertise/benchmarks), and insights (data analysis, research projects, experimentation)

Preferred Qualifications

• Have knowledge and passion for data science (Python modeling experience; knowledge of the key data science algorithms: clustering, regression, decision trees, x-gradient boost, etc.)
• Have prior experience working in SaaS and/or marketplace business model (either as operator in consulting / investing capacity)
• Have experience in start-up/scale-up environment and passion for technology or healthcare
• Have prior experience in business analysis and modelling (financial models, forecasting, business performance measurement etc.)
• Have desirable proven experience in designing and implementing advanced analytics (data preparation, feature engineering, sample management, model validation and productization)
• Be fluent in any other languages (e.g. Spanish, Portuguese, Polish etc.)

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)