Data Analyst Intern

At Bridgestone Mobility Solutions we are looking for an enthusiastic, highly motivated and results oriented Intern Data Analyst in Barcelona to join our Marketing Analytics team. As an Intern Data Analyst you will work on real products, data-based insights, leveraging and exploring hundreds of million data points, such as customer characteristics, behaviour, fleet usage, fleet characteristics and usage data. You will be part of our core business unit, Webfleet Solutions Europe, as part of the Marketing Analytics team to help taking business decisions based on data. You will be a member of a cross functional team, including Data Analysts, Product managers, Marketing analysts and Data Scientists. You will collaborate and be supported by an experienced and strong team, taking the steps to the new AI era.

Here’s a little taste of your potential challenges:

As an Intern Data Analyst, you will be supporting the marketing team, setting the pillars and preparing the data set to the development of machine learning and predictive models:

• Understanding the internal customer problem/journey, carving out the necessary KPIs together with stakeholders, constructing a training/validation and test set, pre-processing the data.
• Steering efforts to collect new data types and sources internally
• Close collaboration with marketeers, data engineers and analysts to improve business performance in KPIs as customer churn, upsell, prospecting, among other.

At a later stage of the project, we ambition to build machine learning models. It will be a plus to have experience implementing machine learning models and data mining to generate insights for business decisions.

What we are looking for:

There is no set route to become our new Intern Data Analyst. But to be successful in this role, this is the kind of profile we have in mind:

• Strong problem-solving skills, analytic mind, achievement orientation, sense of quality, flexible thinking. You are a self-driven team player with a passion for results.
• You had exposure visualizing and presenting data utilizing Power BI (DAX formulas), Tableau, matplotlib, or Plotly.
• Mandatory to be able to make a 6-to-12-month agreement with the university (from a Masters, Doctorate, Undergraduate or Graduate degree).
• Analytical, mathematical, and statistical mindset.
• Keen eye for detail and passion for data/reporting integrity.
• Determination to propose and implement changes based on reasoned assessments.
• Fluency in English (verbal and written) is critical.
• Knowledge of Salesforce (company CRM) is a plus.
• Sociable person who likes to work in a team.
• Dependable and takes ownership when faced with challenges.
• It will be also nice to have
• Academical experience in building statistical models, manipulating data sets
• You can utilize different kinds of data sources, such as relational databases via SQL, non-relational databases, and different types of web interface providing structured and unstructured data in json, xml, or other common data formats.
• You have knowledge and experience with Python or other object-oriented programming language.
• You have deep understanding and already applied some unsupervised-learning techniques, such as k-mean, Gaussian mixture models, DBSCAN, self-organized maps, or autoencoders, as well as in standard supervised learning techniques like regression, random forests, naive Bayes. Ideally, you have designed deep learning models in Keras or PyTorch.
• Experience with the following frameworks, standards, and software categories: Spark, Azure, or similar.
• Some experience in a similar position

What will it do for you?

• An adventure in business analytics, marketing strategy, CRM and bigdata within a rapidly growing business unit of a globally renowned brand and various opportunities for your professional development.
• An opportunity to build your career as a Data Analyst or Data Scientist
• Being part of a team of professional and passionate Data Analysts, Marketing analysts and Data Scientists contributing to building and adapting the technology for Webfleet Solutions Europe.
• You’ll have the benefit of working within a core strategic department and learn from many people at different levels and variety of expertise.
• Receive regular feedback on your work with insight from an experienced team.
• Brilliant minds. Learn from your colleagues – pioneers and experts who are changing the IoT landscape.
• Different cultures. Our employees come from all over the world, with 55 nationalities and counting.

Let's not forget the good stuff!

• Flexible work schedule with up to 3 days of remote working;

• An adventure in the cutting-edge SaaS solutions and IT, connected car industry;

• The opportunity to bring forward and experiment with ideas;

• The opportunity to work in a fast-moving, innovative, and international environment;

• On-the-job training;

• A 6-month Internship contract.

Who are we?

We are Bridgestone Mobility Solutions, and we are on a mission to move the world towards a sustainable future using data-driven mobility.

The high-value products and services we develop for fleets, original equipment manufacturers and governments make travel smoother, reduce congestion, increase accessibility, improve vehicle and road safety and cut carbon emissions.

Bridgestone Mobility Solutions is a Business Unit of the Bridgestone Corporation, a global leader in tyres and rubber, present in Europe, the Americas, Australia and Africa.
 

Webfleet is one of our lines of business within Bridgestone Mobility Solutions. A globally trusted fleet management solution, Webfleet analyses live data from hundreds of thousands of vehicles to help businesses boost fleet productivity, cut costs and increase safety.

Webfleet is used by more than 50,000 customers worldwide, providing them with the industry’s largest support network and the widest range of dedicated applications and integration tools.

For further information, please visit https://www.webfleet.com/es_es/webfleet/

Want to join us?

We want to meet you! Apply to say hi. Please complete the online form and attachments in English.

Do note that online technical evaluation and pre-employment screening are part of the selection process.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.