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At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.
The Data Analyst collaborates with both national and international contacts on the customer and Nielsen side to provide targeted advice to the customer and to initiate and implement joint projects. The goal is to maintain high quality deliveries and enlarge a unified currency in the field of Digital Audience Measurement.
Responsibilities
Evaluating and Analysing Data Deliveries: Responsible for assessing and interpreting data submissions.
Platform Development: Create or collaborate on an open platform for verifying, monitoring, and analysing data deliveries.
Data Requests and Special Analyses: Process various data inquiries and conduct specialised analyses.
Report Automation: Ensure automation of regular reports.
Approval of Data Changes: Verify and approve planned and necessary changes to data deliveries from international teams.
Trend Analysis: Conduct and monitor trends, especially related to technical roll-outs, and provide related analyses.
Quality and Delivery Escalation: Address quality and delivery issues internally and communicate these to clients via direct approach or project management tools.
Customer Meetings and Presentations: Conduct meetings with customers, presenting clear and traceable project overviews and actionable recommendations.
Innovation in Data Interpretation: Identify new ideas and opportunities in interpreting digital data.
Support of Client: Assist the client and its service providers in data analysis.
Representation in Expert Committees: Represent Nielsen in Client expert committees and workshops, coordinating with internal teams, and actively participating in meetings.
Customer Relationship Management: Coordinate ongoing customer relationships, ensuring analytical support and delivering meaningful results. Manage customer expectations regarding analytical insights and maintain the agreed service level.
Skills & Qualifications
Proficient in written and verbal communication in English and German.
Proven years of experience around data analysis.
A relevant university degree or tertiary qualification
Problem Solving & Analytical Thinking: Strong skills in identifying and solving complex problems.
Data Science & Analytics Affinity: High interest and precise standards in data science, analytics, and data quality.
Census and Panel Methodologies: Proficient in understanding and explaining complex census and panel methodologies to customers.
Proficient in Client Communication: With a proven track record in client service roles, adept at addressing data and methodology-related questions, understanding customers' business needs, and providing data-driven solutions.
Collaboration Skills: Good at working with international teams to identify customer requirements and implement solutions.
Organisation & Project Management: Strong organisational and project management skills.
Business Acumen: Strong understanding of business principles.
Media Industry Knowledge: Good knowledge of the media industry.
Client Relationships: Passionate about building and maintaining client relationships and driving engagement.
Diversity
Here at Nielsen, we believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Nielsen is proud to be an Equal Opportunity Employer. We welcome applications from people that are excited to work for us, regardless of their background - so please get in touch!
Nielsen provides equal employment opportunities to applicants and employees without regard to any protected characteristics under local law.
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