Data Analyst (E-Commerce)
Job Description
The Solutions Consultant plays a strategically important role for NielsenIQ’s Omni Sales Team as a key resource during high-value sales campaigns. You will work in conjunction with sales associates to sell solutions within the functional areas of the Omni Team including Omnisales, Omnishopper, Spectra, and TDLinx.
RESPONSIBILITIES INCLUDE:
Independently complete analyses using Nielsen’s proprietary tools to develop insights that drive client outcomes
Clearly and convincingly articulate Omni offering methodologies and value proposition to clients
Ability to understand/explain the value of NielsenIQ’s approach (versus other companies)
Contribute customizing proposals and presentations that clearly communicate why the solution is right for specific clients based on their business needs
Create customized analyses to aid in the sales pitch to demonstrate strength of data and how it is incorporated with other NIQ assets, including presenting this material to clients
Demonstrate the NIQ solution to clients in a live environment
Create sample analyses using concrete business benefits
Liaise between sales, product management, solution architecture and operations on the scope and style of demos, commercial packages, and proposed implementation engagements
Lead deep dive methodology meetings with client teams
Contribute to the professional development of junior level associates by modeling NIQ leadership traits, provide informal mentoring and development opportunities
Qualifications
You are a talented and competitive marketing and sales professional that thrives in a quick sales cycle environment. You play an important role in helping us achieve our ambitious revenue growth objectives. You confidently manage and use consumer panel and point of sale data, and you care about the people behind every number. You constantly seek to learn new things and lean into new capabilities. Change excites you. Curiosity, communication, and critical thinking drive your work--whether you got your start in sales or consulting, analytics or consumer goods.
QUALIFICATIONS
1-2 years’ experience
Consumer Packaged Goods or Retail industry experience preferred
Proven leadership skills
Proficiency in Microsoft Office (Word, Excel, PowerPoint)
Passion for learning and applying new technologies to business solutions
Proven problem-solving skills using deductive reasoning, logic, problem solving and critical thinking
Demonstrated experience in data analysis and application to client business issues
Strong oral and written communication skills
Ability to multi-task and successfully lead projects end to end
Demonstrated project management skills and ability to manage multiple priorities
Experience working with NielsenIQ consumer panel data or competitive panel data assets and tools
Able to work collaboratively with internal & external teams
EDUCATION QUALIFICATIONS
Bachelor's Degree required
Additional Information
All your information will be kept confidential according to EEO guidelines.
About NielsenIQ
NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.
NielsenIQ 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.