Modeling Analyst
hace 6 meses
**ABOUT THE JOB**
Nielsen Marketing Effectiveness uses cutting edge technology and industry-leading data science to tackle some of the hardest problems in marketing science. We empower advertisers, publishers and agencies with the intelligence they need to drive revenue, increase market share, and optimize their audiences and investments. Our goal is to provide reaction measurements at unprecedented speed and scale.
**Responsabilities**:
- Analyze the model’s results and its statistical validity, develop insights and recommendations to be presented to senior modeler and commercial areas.
- Contribute on the quality on modeling in order to meet project specifications
- Collaborate with other Nielsen teams to provide holistic support to clients
**A day in the life of a Modeling Analyst**:
- Work as a part of an international project team. Therefore, several conference calls are expected to occurred (English as daily working language)
- Execute and review statistical models already built in SAS, R or Python. Sometimes, customization is required.
- Carry out quality controls of the model’s statistical fits, minimize errors and obtain high-quality results.
- Present and defend the results of your work to internal teams, offering actionable insights and recommendations.
**A little about you**:
- Eager to Learn: At Nielsen, we believe in continuous learning. As part of your career within Nielsen, you will go through a rigorous onboarding process covering topics such as Marketing Mix, Statistics, Regression Analysis and much more. You don’t have to be an expert but you should be easy with numbers and have a growth mindset.
- Curiosity and Enthusiasm: Have passion & confidence to ask “Why?”, “So What?” to dig deep and find a solution even in ambiguous situations.
- A Problem Solving Mindset: You are passionate about finding answers to challenging problems and are willing to dig deep to find a solution. You can see both the details and the big picture to solve problems using data.
- Versatility: You want to work at the intersection of data science and consulting, with the ability to effortlessly move between your deep understanding of data and statistical models, while also deriving business insights and explaining those results to a non-technical audience.
- Interpersonal skills: You are a team player Given the matrix org structure, your work requires a lot of collaboration and team working abilities. We look for people who are able to maintain a healthy working relationship with their peers, drive positivity and keep our culture open & fun
**Requirements**:
- Advanced students or recent graduates of: Bachelor of Economics, Actuary, Mathematics, Statistics, Industrial Engineering, Business Management/Administration, or Marketing & Advertising (with a quantitative emphasis)
- Understanding of statistics, especially in the area of linear regression
- Advanced level of English - oral and written.
- Intermediate management of Excel
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