Аналитик данных

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

Read

Sputnik8 — аккредитованная IT-компания, развивающая сервис для бронирования экскурсий по всему миру.

Мы помогаем путешественникам находить и бронировать впечатления в 100+ странах: от классических обзорных экскурсий до необычного локального опыта. Более 7 миллионов человек уже отправились на экскурсии с нами! И мы продолжаем расти, запускать новые географии и проекты.

Сейчас в нашей команде более 200 профессионалов. Мы верим, что сильный продукт рождается там, где людям дают пространство для идей, экспериментов и влияния на результат. Поэтому создаём среду для роста, инициативы и комфортной работы вместе.

Сейчас мы в поисках аналитика для задач в направлениях Supply / Marketing, который поможет команде растить выручку и быстрее закрывать потребности заказчиков.

Основные направления работы:

• Поиск точек роста продукта и идей для увеличения выручки

• Проведение исследований, поиск инсайтов и причин аномалий в данных

• Прогнозирование

• Погружение в задачи заказчиков: выяснение требований, самостоятельная проработка от постановки задачи до результата

• Ведение проекты на стыке команд, в том числе с использованием AI-инструментов

• Совместно с другими аналитиками и data engineer разработка инструментов и дашбордов для работы с показателями

Что мы ждем от кандидата:

• Опыт в дата / маркетинговой / продуктовой аналитике от 2-х лет

• Знание математической статистики

• Уверенное владение Excel/Google Sheets, SQL, Python

• Опыт самостоятельного ведения проектов от начала до конца

• Умение управлять ожиданиями заказчиков

• Бизнесовое мышление, понимание, как аналитика влияет на результат

• Проактивность: готовность предлагать исследования, гипотезы, замечать проблемы и предлагать решения по своей инициативе

Будет супер, если есть:

• Опыт настройки атрибуции маркетинговых каналов (UTM-разметка, модели last-click/multi-touch)

• Опыт автоматизации задач с помощью AI

• Опыт проведения технического ревью и наставничества

Что мы предлагаем:

• Работа в быстрорастущей компании над международным продуктом, который вдохновляет

• Гибкое начало рабочего дня: будь на связи и работай в том ритме, который удобен именно тебе

• Гибридный формат (любые 2-3 дня в неделю можно из дома) с возможностью периодически работать удаленно

• Официальное оформление и льготы IT-компаний

• Предоставляем необходимую технику для работы

• Поддерживаем профессиональное развитие: оплачиваем курсы, книги и внешнее менторство

• ДМС со стоматологией, психологом, психотерапией для пар и страхованием в поездках за границу (после испытательного срока)

• Совместные походы по барам Васильевского острова, пробуем с командой разные кухни мира на обедах, поддерживаем местные бренды

• Дважды за зиму выезжаем работать в тёплые страны!

• Офис в пяти минутах от ст. метро Василеостровская в историческом здании Андреевского двора. Рядом прекрасные кофейни и фудкорт

As a Salesforce Data Analyst at Aquiva you will move beyond reporting and become a solution designer - owning data products end-to-end, refining metrics with business stakeholders, and enabling scale through automation and best practices. You will specialize in Salesforce CRM Analytics and its ecosystem while deepening your business and data engineering acumen to drive insights and outcomes across our operations.

This role requires hands-on experience working within the Salesforce ecosystem. We're looking for candidates who have practical experience with Salesforce as part of their analytics work and understand the platform, its data model, and business processes. 
If your background does not include working with Salesforce or Salesforce-related analytics projects, this role may not be the right fit at this time. We encourage candidates with relevant Salesforce experience to apply and look forward to learning more about your expertise.

Key Responsibilities:

1. Technical Development

- Design scalable and responsive Tableau CRM dashboards with complex bindings, filters, and multi-page flows.

- Optimize queries (SQL, SOQL, SAQL) for performance on large datasets.

- Create modular and reusable dataflows and recipes, applying parameterization.

- Troubleshoot join mismatches, schema inconsistencies, and dataflow failures.

- Automate workflows using Python/R for data transformation, reporting, or model deployment.

2. Business Acumen

- Develop deep understanding of MCIM’s product, user journey, and operational metrics.

- Co-define KPIs with Product, Customer Experience, and Business teams.

- Build context-aware visual narratives for data, explaining trends, anomalies, and insights.

3. Cross-functional Communication

- Translate complex technical results into business-friendly formats.

- Collaborate with Engineering, Product, and Customer Success teams to embed analytics into operations.

- Run internal enablement sessions and maintain documentation for key dashboards.

4. Project Ownership

- Lead analytics initiatives from scoping to delivery.

- Build scalable dashboard templates, standard filters, and reusable assets.

- Review Data Analyst I dashboards and support onboarding of new team members.

5. Data Governance

- Implement naming conventions, data lineage tracking, and consistency checks.

- Monitor data quality and proactively address dashboard breakage and discrepancies.

Skills & Experience Required:

- 3–5 years of experience in analytics, data visualization, or business intelligence.

- Proficient in Salesforce Analytics (Tableau CRM), SAQL, SOQL, JSON-based dashboards.

- Hands-on with Snowflake, Data Lakes, ETL tools, and scripting in Python or R.

- Knowledge of data modeling (star schema, slowly changing dimensions).

- Excellent storytelling, stakeholder communication, and visualization skills.

- Bachelor’s degree in a quantitative or technical field (preferred).

Preferred Qualifications:

- Salesforce CRM Analytics & Einstein Discovery Consultant certified.

- Familiarity with real-time data pipelines, APIs, and external connectors.

- Experience mentoring junior analysts and creating internal documentation.