Product Analyst (LATAM)

• анализ данных медицинских организаций;
• участие в разработке системы управленческой отчетности и dashboards;
• определение и мониторинг ключевых показателей эффективности больниц;
• работа с данными по загрузке коек, операциям, пациентопотоку, финансам и другим направлениям;
• участие в интеграции и улучшении hospital information systems и других цифровых решений;
• выявление проблем с качеством и полнотой данных;
• подготовка требований к BI-системам и аналитическим инструментам;
• взаимодействие с IT-командами, руководством больниц и внешними консультантами;
• анализ международных Digital Health решений и лучших практик;
• подготовка аналитических отчетов и рекомендаций для руководства;
• участие в проектах цифровой трансформации медицинских организаций.

• высшее образование в области IT, Data Analytics, Economics, Business Analytics, Statistics, Engineering или смежной специальности;
• хорошие аналитические способности;
• уверенное владение Excel;
• понимание принципов работы с данными и KPI;
• способность структурировать большие объемы информации;
• английский язык на уровне, достаточном для работы с международными материалами и партнерами;
• русский и/или узбекский язык для рабочих коммуникаций.

Будет преимуществом:

• Power BI, Tableau или аналогичные BI-инструменты;
• SQL;
• Python или R;
• опыт работы с healthcare data;
• понимание HIS/HMIS, EMR/EHR или медицинских информационных систем;
• опыт подготовки dashboards;
• опыт в аналитике, консалтинге, банках, IT или крупных организациях.

• работа в Ташкенте;
• полный рабочий день;
• участие в проектах цифровизации и трансформации медицинских организаций;
• взаимодействие с международными экспертами и консультантами;
• возможность непосредственно участвовать в создании новых управленческих и цифровых систем

About the role

Responsibilities

• Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed
• Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders
• Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion
• Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets
• Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences

• Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift
• Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix
• Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication.
• Keep the solution maintainable: readable Python, documentation, versioned changes

Qualifications

• 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science
• Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series
• Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models
• Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase
• Advanced SQL and experience with large datasets in a cloud data warehouse
• Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact
• Ownership mindset: comfortable investigating issues across data, model, and integration boundaries
• Professional working proficiency in English and the ability to defend a number in front of senior stakeholders

• Background in mobility, marketplaces or other supply-and-demand systems
• Experience supporting financial planning, S&OP or budgeting processes
• Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback)
• Hierarchical forecasting across multiple markets
• Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD

Benefits

• Help us challenge injustice by creating fair choices for millions of people across 47 countries.
• Develop your professional skills with access to mentoring, career consulting, and learning programs.
• Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
• Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
• Work alongside people who take initiative, speak openly, and challenge themselves to grow.
• Improve your language skills through co-financed courses and internal speaking clubs.

Who we need

As a Junior Data Analyst in the Finance Analytics team, you'll turn data into answers for the business. Most of your work will be supporting the finance department with ad hoc requests: pulling and preparing data with SQL, maintaining and improving existing reporting and reconciliation scripts, checking data quality, and explaining what the numbers show. You'll also take part in research on unit economics and plan-vs-actual, build dashboards and data marts, and work with stakeholders from finance, commercial, marketing, and product teams. The company is strongly data-driven and has a modern tech stack, so the role is a great fit for someone early in their analytics career who wants to grow fast, enjoys working with numbers, and wants to understand how a travel-tech business really makes money.

Key qualifications

• 6–12 months of experience in data analytics, consulting, or a finance-related role with hands-on data work. Internships count.
• Confident SQL skills, including joins, window functions, CTEs, aggregations, and data quality checks.
• Experience with at least one BI tool. We use Tableau and Metabase.
• Good Excel skills, including lookup and array functions, pivot tables, and charts.
• Understanding of key business metrics such as GMV, ARPU, margin, conversion, and revenue.
• English at B2 level or higher.
• Ability to work in the GMT+3 time zone.

Nice to have

• Python for data analysis (pandas, numpy, plotly, seaborn, matplotlib).
• Interest in finance, such as P&L, cost structure, and unit economics, or a related degree.
• Hands-on use of AI tools, such as agents, to speed up your work.

We offer you

• Flexible schedules and opportunity to work remotely.
• Ambitious and supportive team who love what they do, appreciate each other, and grow together.
• A structured onboarding, a personal development plan, and regular internal lectures and demos from the team.
• Internal programs for adaptation and training, development of soft skills, and leadership abilities.
• Partial compensation for participating in external training and conferences.
• Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world.
• Corporate prices on hotels and travel services.
• MyTime Day Off - an extra non-working day without loss of compensation.

Product

Emerging Travel Group is a global travel-tech company whose brands have been operating in over 220 source markets since 2010. We specialize in developing advanced online booking platforms for all types of clients — from individual tourists to travel agents and companies organizing business trips. Our solutions empower hoteliers to effortlessly showcase their accommodations, boosting visibility and attracting a broader audience.

Our mission is to create, distribute, and operate the most convenient travel products. We constantly innovate and break the rules of the highly complex travel industry to make travel more widely available for individuals, more rewarding for professionals, and simpler for everyone.

More about our company and mission