Senior Project Manager, Research (German) T

Reports to: Delivery Team Leader (Research)

Purpose: Client-facing, liaison between clients, sales teams and onshore research team colleagues, managing client quantitative research projects and internally coordinating with diverse Nielsen Sports and external data source owners to deliver clients solutions

• Skills & Experience required:
• Experienced (3+ years) grounding in custom research principles, methodologies, statistical techniques.
• Excellent spoken and written communication skills in English & German, and proven successful experience in a client facing capacity for at least one year.
• Proven successful experience as a consumer research project manager, delivering complex client analytical projects, using project management platforms and managing diverse stakeholders
• Experience using Business Intelligence tools/platforms, e.g. Microsoft’s PowerBI or similar
• Must be experienced in using SPSS files and/or Q Research software or similar platform for manipulating disaggregated research data.
• . Experience in using Data Visualization / Dashboard platforms such as DataLion, Display R or similarMust be proficient with Microsoft office – specifically Excel / .csv and Powerpoint
• Proficiency with Excel, including pivot tables, macros and advanced formulae.
• Enthusiastic and proactive personality with good problem-solving skills 
• Flexible availability during synchronized work hours with the MR team for real-timecommunication and swift responses to project requirements.
• Dedicated to maintaining high-quality standards with meticulous attention to detail.Strong organizational and project management skills able to work on multiple projects simultaneously.
• Time management skills - of both your own time and in setting realistic commitments, deadlines and delivery to other internal stakeholders
• Ability to analyse, interpret and leverage research data to derive strategic insights and recommendations related to client objectives
• Pro-active mindset and ability to think laterally in relation to tasks and requirementsBachelor degree or higher in a subject where both extensive written and verbal communication skills and advanced mathematical analytical skills are key Also desirable.

• Experience of data analysis programming languages a plus: R, Python, SQL
• Familiar with analytic techniques such as Regression / Segmentation / TURF Analysis /Conjoint Analysis / Max Diff
• Experience in scripting online surveys.
• Strong understanding of international sports events, teams and leagues.
• Tasks And Responsibilities
• You'll be expected to independently manage and deliver simple to medium projects, and work under guidance as part of a wider team on those more complex in nature.
• Work across all different types of market research projects including single country / multi country ad hoc / tracking / syndicated. Develop an understanding of our client's challenges and needs, and the solutions that help them achieve their business objectives.
• Build compelling bespoke analysis which directly address the key strategic questions of our clients.
• Use existing project planning tools, project management and capacity planning tools (Monday.com), to implement and track your own projects.
• Drive time and cost efficiencies on projects.
• Follow best practice procedures and recommend improvements.
• Contributing to the continuous improvement of our services and products by adopting and implementing automation of our processes and services.
• You'll also be responsible for the profitability of your projects, ensuring that they meet or exceed budget expectations.
• Specific responsibilities aligned to a typical project lifecycle include - 
• Project Design -Provide scope, cost calculations, and feasibility checks.
• Project Management - Liaise with and manage third party providers
• Manage survey data processing for market research projects, ensuring that all relevant quality assurance measures / controls have been taken to deliver a clean and accurate data set.
• Ultimately accountable for final quality of data (e.g. tables, data files)
• Data Analysis & Delivery - Coding of open-ended responses with our DP software (Q).
• Analysis of consumer research data leveraging data analysis tools (Q)Statistical analysis techniques such as Regression / Segmentation / TURF Analysis / Conjoint Analysis / Max DiffProduction of client deliverables (Excel, PPT, Dashboard Tools)Interpretation of data to provide insight and address specific client objectives