Data Analyst

Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.
Nielsen Media Plan & Optimize 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 measurement at unprecedented speed and scale.  
We are seeking a talented Data Analyst that has a passion for working with data, backed with strong creativity and discipline. As a Data Analyst, you will play a critical role in delivering first-class evaluations and measurement options based on data to support client decision making in a reliable and efficient manner.  Investing in proper data analysis at the onset of a project is key for successful delivery overall.

RESPONSIBILITIES

• Partners with external clients, agencies and publishers to acquire input datasets 
• Collaborates with Data Lead and Modeling Analytics associates within Marketing Mix project teams
• Collects and analyzes significant amounts of data for quality, accuracy, and fitness of purpose
• Integrates, assembles, summarizes, validates, and disseminates data from numerous disparate systems (flat files, spreadsheets, relational databases, etc.) to present measurement recommendations to client
• Identifies anomalies within the data and helps determine if it is a collection error or an unnoticed trend
• Complies to all Nielsen Analytic Console, Nielsen data security and 3rd party vendor requirements
• Adheres to project scope, timelines and contracts

QUALIFICATIONS

• High proficiency in English
• Bachelor’s degree in a technical or business field, advanced degree a plus
• 0-3 years of experience in related field with strong analytical aptitude
• Proven problem-solving skills using deductive reasoning, understanding hierarchical relationships and identifying gaps in logic 
• Demonstrated project management skills and ability to manage multiple priorities and deadlines
• Highly effective client management and communication skills 
• Advanced proficiency in Excel
• Google Scripts/Analytics desired 
• Basic data and regression modeling application knowledge desired

ABOUT YOU

• A Little Bit About You
• You are passionate about data and lots of it.  You are driven by curiosity and enjoy problem-solving.  You love exchanging ideas to thrive in a teamwork environment. Managing time and deadlines comes naturally to you. You’re known for your impeccable organization.  Details matter to you.  You're committed to delivering high quality results for your clients. 

ABOUT NIELSENBy connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms⁠—from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth. Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work! Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.

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