BI Developer / Data Analyst (Python, Figma)

Издательский дом «Коммерсантъ» — ведущее деловое медиа России. Мы управляем сложной IT-инфраструктурой, включающей большой объём данных, облачные решения и сервисы для внутренних и внешних продуктов (kommersant.ru, autopilot.ru, myweekend.ru). В связи с развитием цифровых продуктов и аналитических сервисов мы ищем аналитика-разработчика, готового работать с данными, ETL-пайплайнами и AI-технологиями.

Чем предстоит заниматься:

• Сбор, обработка и анализ данных Яндекс.Метрики и внутренних систем.
• Создание ETL-пайплайнов, витрин данных и регулярной отчётности.
• Разработка парсеров и интеграций с внешними API.
• Построение классических ML-моделей для целей аналитики.
• Создание аналитических ИИ-агентов.
• Контроль качества, полноты и актуальности данных.
• Поддержка аналитических сервисов и автоматизированных отчётов.

Наши ожидания:

• Высшее образование (техническое, математическое).
• Уверенное знание SQL и Python.
• Практический опыт работы с ClickHouse.
• Опыт работы с Яндекс.Метрикой, включая API и Logs API.
• Опыт разработки ETL-пайплайнов.
• Опыт написания веб-парсеров и интеграций с API.
• Понимание аналитических метрик и принципов построения витрин данных.
• Опыт создания ИИ-агентов или LLM-интеграций.

Будет вашим преимуществом:

• Знание Airflow и других инструментов оркестрации.
• Docker, PM2, FastAPI.
• Redash, Superset, DataHub.
• Selenium и автоматизация работы с веб-интерфейсами.
• PostgreSQL, Redis, Qdrant.
• RAG, MCP и работа с LLM API.
• Опыт работы с большими объемами медиаданных.

Мы предлагаем:

• График работы: 5/2, гибрид.
• Оформление по трудовому договору.
• Стабильность и прозрачность в отношении заработной платы.
• Испытательный срок 3 месяца. По окончании испытательного срока Вы сможете подключиться к программе добровольного медицинского страхования и другим опциям социальной политики в Обществе.
• Доброжелательную атмосферу, команду профессионалов в digital.
• Работу в бизнес-центре класса А с развитой инфраструктурой (офис в 5 минутах от м. «Маяковская», кафе и магазины, зоны отдыха внутри здания).

Analytics Engineering Manager - Fincrime

London/Cardiff/UK Remote | 💰£97,800-£125,000 + Incentive Awards tied to your performance and benefits | Hear from the team ✨

⭐Our Fincrime Analytics Engineering Team

Our Financial Crime Collective helps keep Monzo and our customers safe. We build effective, proportionate controls to protect against financial crime while delivering great customer outcomes.

Our Analytics Engineering discipline works in the intersection between data, engineering and our collectives - Core, Money, Borrowing, Operations and Financial Crime and beyond. 

The AE teams are responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building a reliable and scalable Data Warehouse to support decision making in a cost effective and performant manner. 

Managers within Data have two primary responsibilities; people and technical products. Your focus will be on helping engineers with their personal and professional development, listening and guiding them through hard times and celebrating their successes. You will also be leading and participating directly in technical initiatives and helping Monzo shape its Data organisation, ensuring the team focuses on valuable work, shipping things with a level of care and attention to detail.

There will be a strong focus on delivering best practice across our data discipline and helping bring a new level of maturity around Data Governance principles, working in collaboration with others to deliver this.

🔑You’ll play a key role by...

Working in a multi-disciplinary team, you will:

• Be a hands-on leader in building a discipline of exceptional analytics engineers working to make Data at Monzo the gold standard within the industry
• Nurture between 5 to 6 analytics engineers, supporting, coaching and developing high performing engineers through regular 1:1s, continuous feedback and relationships with others
• Aid prioritisation of initiatives and projects, working closely with other leads for each of our Monzo collectives
• Be hands on through participating in the review cycle, architecture and design leadership and development of your own changes to the pipelines
• Be part of the hiring team within Analytics Engineering
• Work closely with other leads to deliver a scalable, consistent approach to governance and best practices
• Drive effective project management of central Analytics Engineering projects, ensuring they’re well scoped and delivered to deadlines
• Establish yourself as a trusted partner to various collectives and the leadership team, with the capacity for getting things done, be it either hands-on or by leading others
• We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role

🤩We’d love to hear from you if…

You have experience managing or mentoring the performance and development of high-performing engineers.

• You have strong experience in data warehousing architecture at scale
• You have experience and a passion for leading data warehousing, data visualisation, big data or ETL projects as an analyst, developer, designer or architect
• You know what it takes to hire great engineers within the data space
• You’re equally comfortable working hands on and leading a team

Nice To Haves:

• Any experience working within a finance or banking environment
• Experience working in a highly regulated environment (e.g. finance, insurance, gaming, food, health care)
• Experience with any of our stack of dbt, BigQuery and Looker

Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything that’s listed just yet. Drop us your application, we’d love to hear from you!

🙌What’s in it for you

💰£97,800-£125,000 + Incentive Awards tied to your performance and benefits

✈️ We’ll help you relocate to the UK. 

✅ We can sponsor your visa. 

📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) 

⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

📚£1,000 learning budget each year to use on books, training courses and conferences.

🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

➕ Plus lots more! Read our full list of benefits.

🌈 The application journey has 4 key steps

1. Recruiter Screening Call
2. Initial Call
3. Take Home Task
4. Final Loop (3 sessions - case study, collaboration and people  leadership)

This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

For more insight into the AE team at Monzo, check out our podcast with John Azzopardi one of our Senior Leaders in AE

#LI-AS1 #LI-REMOTE