Working Students for the Area Data Analyst m/w/d

• As a Data Analyst with focus on Salesforce Effectiveness, you will work closely with our Salesforce Effectiveness Manager to support with data analytics projects, digital capabilities, and data intelligent products that will scale with our rapidly growing business to drive business decisions, improve customer experience, and increase overall operational efficiency and effectiveness.
• As a member of our Digital, Data, Agile & Learning Team, you will work closely with our customer facing teams and the data to support their daily work and strategy. In this role, you will be responsible to support the delivery of data analytics initiatives based on our CRM data and support automation related to our Veeva CRM commercial processes and execution of our Sales Incentives Planning. Additionally, you will be supporting in the execution and analysis of our Segmentation & Targeting process.
• Key activities and responsibilities
• In your first weeks you will have enough time to explore our databases and find your way around our data structure and layers. In your first months you will focus on very specific Salesforce Effectiveness Reports and support the operational process surrounding these.
• Identify and implement Key Performance Indicators and visual reports to support Business Units and customer facing teams in their decision-making process

• Eagerness to learn and apply data-focused scripting languages to complement data analysis (R, Python, etc.)
• Ongoing or completed studies from an accredited university, preferably in sciences, analytics, business, or relevant practical experience with data or business analysis
• Analytical thinking skills with a drive to identify business issues/opportunities, frame business questions, contextualise the answers and quantify salesforce-related data to paint a picture, specifically in the context of our data- and pharma-centric tools (Salesforce, Veeva CRM or similar) are a plus but that will be acquired on the job
• Interested in turning large amounts of data and information into actionable insights through analytical techniques (e.g., data visualization, filtering, slicing, aggregation, etc.) and creativity for communicating insights to various business functions is a plus
• Understanding of databases and ability to write simple queries in SQL
• Basic understanding in using business intelligence software (e.g., Qlik, PowerBI, Spotfire), for building reports and dashboards are a plus but not a requirement

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