Junior Data Analyst (Finance Analytics team)
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…
emerging travel group · На сервисе с: 03.10.26 15:33
Зарплата не указанаПольшаАрменияГрузияВьетнамУдалёнка
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
ReadПохожие вакансии Аналитика данных
Сайты компаний
Nice to have:
Technology environment
Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job.
Зарплата не указанаГрузияАлмати (край Кахетия)
About the role
inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership.
We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence.
Responsibilities
Business & planning
- 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
Forecast production
- 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
Nice to have:
- 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
Technology environment
Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job.
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.
Final benefits may vary depending on the location.
Сайты компаний
Зарплата не указанаКипрLimassol
About the role
We are looking for a data-driven Operations & Revenue Manager to own marketplace performance, pricing effectiveness, and revenue optimization across international markets.
In this role, you will be responsible for managing supply-demand balance, optimizing pricing and incentive levers, and driving sustainable, profitable growth at the city and country level.
In this role, you will be responsible for managing supply-demand balance, optimizing pricing and incentive levers, and driving sustainable, profitable growth at the city and country level.
You will act as a key business owner for market performance, working closely with Analytics, Product, Finance, and Regional Operations to translate data insights into concrete operational and pricing actions.
Responsibilities
Marketplace Performance Ownership
- Own end-to-end performance of assigned markets or order types against key KPIs (growth, revenue, utilization, margins etc).
- Monitor market or order type health through core marketplace metrics and identify performance gaps, risks, and opportunities.
- Drive corrective actions and optimization initiatives to improve efficiency and profitability.
Pricing & Revenue Optimization
- Define, test, and optimize pricing levers based on local market dynamics and business objectives.
- Evaluate pricing impact on rider behavior, supply engagement, and overall marketplace balance.
- Partner with Product and Analytics to implement pricing logic and ensure correct execution in systems.
Supply & Demand Management
- Analyze supply-demand dynamics to maintain a healthy and efficient marketplace.
- Recommend actions to improve availability, utilization, and service reliability.
- Coordinate with regional operations teams to adapt strategies to local constraints and conditions.
Analytics & Decision Support
- Use data and dashboards to track performance, diagnose issues, and inform decision-making.
- Partner with Finance and Analytics on investment analysis, market business cases, and performance reviews.
- Prepare clear, structured insights and recommendations for senior stakeholders.
Cross-Functional Collaboration
- Act as a key interface between Operations, Product, Analytics, Finance, and Regional teams.
- Align stakeholders around priorities, timelines, and expected outcomes.
- Drive execution of cross-functional initiatives from problem definition to post-implementation review.
Qualifications
- 2+ years of experience in operations, revenue management, strategy, analytics, or consulting (marketplace or mobility experience is a strong plus).
- Strong analytical skills and experience working with large datasets to drive business decisions.
- Proficient in Excel and SQL; experience with BI tools (Power BI, Tableau) required; Python is a plus.
- Solid understanding of unit economics, pricing mechanics, and marketplace dynamics.
- Comfortable owning ambiguous problem spaces and driving decisions in a fast-paced environment.
- Strong stakeholder management and communication skills.
- Structured thinker with a bias toward execution and measurable impact.
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.
- Annual salary from 64 700 EUR gross.
Final benefits may vary depending on the location.
Сайты компаний
Зарплата не указанаКипрLimassol
About the role
InDrive is a global ride-hailing and transportation company that emphasizes freedom and user-centered choice. We are running hundreds of experiments to make our products even better and the experimentation platform is at the heart of this rapidly evolving process.
We are looking for a Senior Experimentation Platform Analyst who will significantly improve InDrive’s experimentation platform, enhance our A/B testing capabilities and make our data-driven decisions more reliable and trustworthy.
Responsibilities
- Design and evolve the experimentation framework used across inDrive’s products (ride hailing, delivery, fintech etc.)
- Build and validate statistical methodologies for:
- A/B and multivariate testing
- Switchback testing
- Regional causal inference approaches
- Solve complex causal inference problems:
- Network effects, interference, non-compliance
- Long-term and delayed effects
- Heterogeneous treatment effects across markets
- Partner closely with engineers to translate statistical logic into scalable, production-ready systems
- Enable product teams by creating clear decision frameworks, metrics standards, and experiment review processes
- Drive adoption of advanced tools (e.g. CUPED, variance reduction, causal models)
Qualifications
- 5+ years of experience in analytics, data science, or experimentation-heavy roles
- Strong foundation in statistics, probability, and causal inference
- Hands-on experience with A/B testing at scale
- Advanced SQL and Python (experience with experimentation or causal libraries is a plus)
- Ability to explain complex statistical ideas to non-technical stakeholders
- Product mindset: you care about decisions, not just numbers
- Curiosity, rigor, and the courage to challenge “obvious” conclusions
Benefits
- Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 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
- Annual salary from EUR 70 700 gross
Final benefits may vary depending on the location.
HireSeeker собирает вакансии со всех площадок и присылает только релевантные. Бесплатно.