Business Intelligence Data Analyst

hace 1 día

Boadilla del Monte, España Santander A tiempo completo

Business Intelligence Data Analyst - SDS

Country: Spain

**Hello Welcome to the place responsible for developing the technology that improves the lives of 160 million customers around the world**

This job offer is an opportunity not only to join a great company but also to collaborate in projects that have a real impact on society.

We are looking for a **Business Intelligence Data Analyst **based in our Boadilla office, with at least **3 **years of experience in **building dashboards and data products **.

**Let’s get to know each other**

We are undergoing one of the biggest transformations in our history and technology is at the heart of our strategy. Join our team to play a part in one of the most important technological projects for the financial sector in the world.

One of our guiding principles is continuous innovation, working with Agile and DevSecOps methodologies and adopting all the leading market technology to work with the best tech stack.

We recently received Top Employer certification in Spain, Europe and globally for the sixth consecutive year and we are one of the World’s 25 Best Workplaces. We are very proud to be an equal opportunities organisation and we are building a dynamic and proactive team. All we ask from you is that you bring a positive attitude and share our values and a commitment to development of cutting-edge technology, no matter where you come from or where you end up.

**Your role**

**We are looking for a Business Intelligence Data Analyst for our Cybersecurity department, a key team in our technology ecosystem.**

We are seeking an innovative and passionate Data Analyst to build a reference Business Intelligence Platform of the newly created function within the Cybersecurity Unit for Santander.

One of the main products will be the creation of dashboards that will serve as the central hub for our cyber teams across multiple countries, providing critical insights and fostering data-driven decision-making. You will work closely with other data analysts, data engineers, and stakeholders from various departments to ensure the dashboard meets the needs of our global teams. Your main tasks will be:

- Collecting and interpreting data from different sources in our AWS Datalake and datawarehouse.
- Analysing results from different cyber tools and drive insights that can lead to reducing the risk.
- Reporting the results back to the relevant members of the team, using data visualization tools.
- Identifying patterns and trends in data sets, as well as automate these tasks so we can spend less time reviewing normality and more time analyzing interesting anomalous patterns.
- Defining new data products from our different cyber verticals.
- Locate and define new process improvement opportunities.
- Ability to identify and automate recurring tasks (through scripts or dashboards).
- Create a repository of key queries (really useful queries could be interesting for the rest of the team and for your future work).
- Generate documentation of all the processes to facilitate their understanding, transfer or backup.

**What you’ll bring**

You’re sure to fit in if you like technology and are constantly learning about new developments, as well as having an interest in better understanding the risks faced by the Bank. In addition to developing your technical skills, you should also be interested in improving your soft skills.

If you think you’ve got what it takes, these are the key skills we’ll be looking for in your CV:

- 3 years of experience in a similar role.
- Computational Skilled Degree (Computer Science, Telecomm., etc..)
- Statistical analysis: you know the basic statistical concepts and know how to implement them in different programming languages (ideally Python or Spark, and less ideally R ). You know when to use different indicators and have experience summarizing data insights with them.
- Dealing with large datasets and implementing scalable solutions. You know what data cleaning means and how to interact with a data engineer.
- How to solve problems using data: analyze the problem and decompose it into different analytical components and recycle all the components you can from other projects.
- Software development: you know what git means, and how to develop your own code, test it and use it to produce actionable results. Open-source lovers get a plus if you show us your github
- Data Visualization, and tools like Power BI (highly appreciated), matplotlib, tableau, or similar. Bonus points for QuickSight.
- You are an SQL-ninja, writing simple exploratory or efficient queries won't be a problem for you.

**The following would also be great...**
- Fluent in English and Spanish written and spoken.
- Knowledge of Cloud services (AWS, Azure).

**What is the Be Tech experience like?**
- Hybrid working model (working remotely some days and meeting with the team in the office on other days).
- Flexible working hours.
- Possibility of travelling to collaborate

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