Data analyst

Border Innovation; Lisboa; Híbrido; EUR 26 000 - 42 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Above-market salary

Mentorship from senior consultants

Training and certifications

Social and team-building events

Access to latest AI tools

Resumo da oferta

Border Innovation ищет начинающего специалиста по данным для обучения на нашем консалтинговом подразделении в Лиссабоне. Вы будете превращать бизнес-вопросы клиентов в конкретные аналитические планы и реализовывать их с использованием современных AI-инструментов.

Требования включают базовые навыки SQL, Python и статистику, а также опыт работы с большими данными и визуализацией. Гибридный формат работы, конкурентоспособная оплата и развитие через наставничество ожидают вас.

Qualificações

• Степень по информатике или эквивалентный опыт работы с данными.
• Базовые знания SQL, Python и статистики; умение проверять данные и результаты.
• Опыт работы с инструментами AI для обработки данных приветствуется.

Responsabilidades

• Преобразовывать вопросы заказчика в планы анализа и реализовывать их с помощью инструментов ИИ.
• Проверять запросы и результаты, корректировать ошибки и недочеты.
• Работать с большими данными, строить дашборды и визуализации, отвечающие на бизнес-вопросы.
• Помогать создавать AI-решения для клиентов и оценивать их эффективность.
• Презентовать выводы заказчикам и команде, честно объясняя ограничения данных.

Conhecimentos

SQL

Python

Statistics

AI инструменты

Data storytelling

Formação académica

Степень по информатике или смежной области

Ferramentas

Spark

Databricks

Power BI

Tableau

Splunk

Descrição da oferta de emprego

Описание:

Border creates solutions that help people and businesses stay connected. We build digital products and provide expert consulting to prestigious clients, from our bright and sunny office by the river in Parque das Nações, Lisbon. We’re looking for a junior who wants to learn data work this way, joining our data consulting team to build Big Data and AI solutions for our customers.

Задачи:

• Turning client questions into clear analysis plans, then carrying them out with AI tools (Claude, Cursor, notebooks with AI assistants or similar)
• Checking AI-generated queries, code and results: catching bad joins, missing data, wrong totals and misleading charts
• Exploring, cleaning and modelling large datasets, and building dashboards and visualizations that answer real business questions
• Helping build AI solutions for clients, from classic machine learning to LLM-based assistants and agents, and measuring whether they actually work
• Presenting findings to clients and teammates, clearly and honestly, including what the data can’t tell us
• Sharing what you learn about working with AI in our consulting team

Требования:

• Responsibility and ownership: you own your results, including the queries and numbers an AI produced for you. If a number is wrong, it’s yours to find, fix and explain
• A degree in Computer Science or a related field, or equivalent proof of real data projects you’ve done
• Solid fundamentals: SQL, Python, basic statistics. You don’t need to know everything by heart, but you must be able to tell when an AI got it wrong
• Machine learning basics: how models are trained and evaluated, and common mistakes like overfitting and data leakage
• Hands-on experience using AI tools for data work, and examples you can show us (notebooks, repos, dashboards, how you worked)
• A critical, pragmatic eye: you sanity-check numbers before you trust them
• Clear communication in Portuguese (fluent) and English (good, spoken and written)
• Будет плюсом: Big Data tools such as Spark or Databricks, and cloud data platforms; Splunk: searching with SPL, building dashboards and analysing log and machine data; A BI tool (Power BI, Tableau or similar); Experience building with LLMs: retrieval (RAG), agents, evaluating outputs

Условия:

• Hybrid work model (remote + office)
• Above-market salary (according to experience) and productivity prizes
• Access to the latest AI tools
• Mentorship from senior consultants on judgment, not just tools
• Training and certifications, and lots of knowledge sharing
• Social and team-building events
• Fruit, coffee and snacks, a kitchenette, a leisure room (table tennis and snooker) and a nap room