Data Analyst Intern
hace 3 días
We are looking for an enthusiastic and highly motivated Intern Data Analyst to join our Marketing Analytics team in Barcelona. As an Intern Data Analyst, you will work on real products, 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.
Key Responsibilities:
Support the marketing team in setting the pillars and preparing the data set to the development of machine learning and predictive models. Understand the internal customer problem/journey, carve out the necessary KPIs together with stakeholders, construct a training/validation and test set, pre-process the data. Collaborate with marketeers, data engineers and analysts to improve business performance in KPIs as customer churn, upsell, prospecting, among others. 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.
Requirements:
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.
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
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