Global Senior Data Analyst
Role details
Job location
Tech stack
Job description
profitability and IPO preparation.Shape the future, sustain growth - Make a difference now and build for long-term success.Job DescriptionWe are looking for a data-driven and results-oriented Senior Data Analyst to join our Global Visibility Products team. You will identify and execute growth levers for these products, 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 customer base. This role sits at the intersection of data and strategy, driving insights to inform actions in a scale-up environment.ResponsibilitiesIndependently lead data analytics and modeling with a focus on MRR growthData queries and data management topics (SQL, BI tools)Business/financial modeling (business analysis, forecasting, budget simulations)Machine learning applications (prediction models, clustering, decision trees, etc.)Support the execution of strategic projects to drive acquisition, cross-sell/upsell/pricing & packaging initiatives across marketsLiaise with in-market stakeholders to present insights and propose actionable recommendations (e.g., pricing optimization, packaging changes)Overall project management for selected initiatives in the Visibility portfolio (scope, plan, monitor, resolve issues)Co-design, run and scale experiments from one market into global projectsSupport the design and optimization of the global Visibility Products organization within the Customers functionProductivity improvements (automation, operations optimization, capacity utilization)Best practices (cross-market sharing, benchmarks)Insights (data analysis, research, experimentation)How we define success for this roleDelivery of analyses based on agreed scope, on time and with attention to business contextSuccessful execution of projects based on data insights, focused on MRR growthQualifications3-6 years of professional experienceFluent in English; other languages
Requirements
(Spanish, Portuguese, Polish) are a plusQuantitatively oriented educational background (e.g., Business, Data Science, Statistics, Math/Physics, Finance) with solid business fundamentalsTechnical experience with large data sets:Tableau/SuperSet or other BI tools - ability to edit/create dashboardsSQL and experience with databases (BI background)Desirable: knowledge of data science (Python modeling; clustering, regression, decision trees, XGBoost, etc.)Experience in SaaS and/or marketplace models; startup/scale-up environment and passion for technology or healthcare is a plusExperience in business analysis and modeling (forecasting, performance measurement) is a plusAbility to package insights and lead stakeholder discussionsDesirable experience in advanced analytics (data prep, feature engineering, model validation, productization)Proven experience working with multicultural teams and cross-functional collaboration (Go-to-Market, Operations, Data Engineering, Product)More about our hiring processIntro Chat - Initial conversation with our Talent Partner to assess fit and motivationHiring Manager Interview - In-depth discussion with the future manager (Global Head of Visibility Products)Business Case - Prep and collaborative session to discuss your findingsFinal Interview - Interview with the teamReferences & OfferWhy you'll love it hereGlobal Benefits- Healthcare, wellness support, vacation/time off, ESOP after 6 monthsLocal Perks- Depending on location (meal vouchers, transport allowances, parental leave)Career Growth- Opportunities to learn and develop across teamsA Truly Global Team- Work with colleagues worldwide in an inclusive environmentFlexibility- Remote work and flexible hours where possible; office hubs in multiple locationsPlease note: We are not able to sponsor visas for this position. You must already have the legal right to work in your country of residence or location of the role.We are committed to building a team that represents a variety of backgrounds, perspect