Nielsen shapes the world’s media and content as a global leader in audience insights, data and analytics. Through our understanding of people and their behaviors across all channels and platforms, we empower our clients with independent and actionable intelligence so they can connect and engage with their audiences—now and into the future.

Nielsen operates around the world in more than 55 countries. Learn more at http://nlsn.co/6006JMfty and connect with us on social media (LinkedIn, Twitter, Facebook and Instagram).

Nielsen

Data Engineer

• Develop tools for process automation and integration
• Mentor and coach project teams on technical best practices
• Develop and maintain automated system administration tools
• Manage and support the migration of objects
• Investigate platform related issues and escalate when needed

Data Engineer (01386)

Chief of Staff

• Spearhead and/or support key projects in partnership with our President & CFO in collaboration with key Finance and Transformation leaders
• Prepare & collaborate on Company-wide presentations and monthly meetings
• Lead preparation/content creation for internal and external operating reviews
• Collaborate and manage relationships with key stakeholders across the Nielsen ecosystem (Nielsen Executive Committee, Finance and Transformation team, Business Unit Leaders, Lender / Banker community, Private equity sponsors)
• Act as the central point of contact between the President & CFO and team members, facilitating effective communication and coordination across different functions
• Drive continuous improvement in Finance functions (e.g., FP&A, Tax, Treasury, Controllership, etc) through identification of opportunities across people, processes and technology
• Support on ad-hoc financial analysis, including financial modeling (forecasting, reporting, cash flow / liquidity modeling) and analytical requests

Chief of Staff for the President & CFO

Business Operations & Strategy

• The Revenue Operations Manager is responsible for the analysis of sales-related data to increase overall sales productivity and results.
• This important role will be focused on four key categories, strategy, technology, operations and performance across the sales organization.
• This individual will collect sales data and evaluate activity, results and performance based on established initiatives.
• This may include normalizing and reconciling disparate data from different sources.
• The development and tracking of key performance indicators will be critical to enhancing Gracenote’s analytics and improving its decision-making processes driving revenue growth across sales and vertical targets.
• The Revenue Operations Manager will help develop standardized practices, methodologies, tools and business processes aimed at improving efficiency and effectiveness while growing revenues.
• The individual will support and drive effective and timely development and training of other team members and assist overseeing projects to ensure consistent data collection, reporting and analytics and metrics.

Revenue Operations Manager

Product Manager

• Develop, launch, manage, and grow products for Nielsen's Analytics team
• Analyze market trends and gather competitive intelligence
• Create go-to-market strategy for cross-platform audience measurement products
• Define technical product requirements and prioritize key features
• Manage a team of software engineers and data scientists
• Conduct beta and UAT programs with clients
• Build strategic relationships with clients
• Grow customer base of managed products
• Participate in contract negotiations and language revisions

Senior Product Manager 01032

Accounting, Payroll & Financial Planning

• Perform mission critical financial reporting and business partnering activities for a large company across multiple business areas
• Support financial close and reporting processes
• Ensure accuracy of revenue recognition and expense reporting
• Track variances from operating plans and forecasts
• Build advanced analytics for respective areas
• Partner with business teams to drive key business decisions
• Seek continuous improvement of the FP&A function
• Support enterprise transformation through standardization and automation of reporting

Sr Financial Analyst

Machine Learning Engineer

• Develop Machine Learning based solutions for curation and augmentation of entertainment data sets
• Write understandable, maintainable, and testable code
• Proficiency in Python, SQL, and Deep Learning frameworks
• Experience with cloud computing (preferably AWS)
• Strong problem solving and collaboration skills
• Bachelor’s degree in computer science, AI, applied mathematics, statistics, or related field
• Bonus points: Advanced degree, experience with large datasets, multilingual problems, search algorithms, review/labeling tools, Spark

Nielsen Jobs in New York City