π Core Information
πΉ Job Title: Brand Growth Consultant (PE/Consumer Data)
πΉ Company: NielsenIQ
πΉ Location: Remote (New York, Boston, Chicago)
πΉ Job Type: Full-time
πΉ Category: Consulting, Analytics, Brand Strategy
πΉ Date Posted: April 25, 2025
πΉ Experience Level: 5-10 years
πΉ Remote Status: Hybrid (New York, Boston, Chicago)
π Job Overview
Key aspects of this role include:
- Supporting and working with clients using global datasets, focusing on the Private Equity client base.
- Analyzing and delivering unique data solutions to provide clarity on important questions for Asset Management clients.
- Engaging clients to provide a deep dive on the underlying data, derived insights, and serving as a resource for clients on datasets.
- Understanding drivers of company performance and marrying that understanding with signals within e-commerce data sets through modeling and statistical analyses to create client insights for marketing and client engagement.
ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and the ability to work under tight deadlines in a fast-paced environment.
π Key Responsibilities
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Supporting the suite of raw datasets, including data trial support for prospects or current clients trying a new dataset.
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Engaging clients to provide a deep dive on the underlying data, derived insights, and serving as a resource for clients on datasets.
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Understanding drivers of company performance and marrying that understanding with the signals that exist within our e-commerce data set through modeling and statistical analyses to create client insights for marketing and client engagement.
ASSUMPTION: The role involves a mix of data analysis, client engagement, and problem-solving, requiring strong analytical and communication skills.
π― Required Qualifications
Education: Bachelor's or Advanced degree
Experience: Minimum 5 years of consulting, analytics, or brand strategy experience, with experience working with Private Equity and Brand Corp Dev teams.
Required Skills:
- Advanced knowledge of Microsoft Excel
- Strong verbal, presentation, and written skills
- Strong planning and organizational skills
- Quantitative aptitude with proven data analysis and problem-solving skills
- Ability to work independently, as part of a team, and communicate technical concepts clearly and concisely in oral and written form
- Ability to transition complicated processes to others and take over complicated processes from others
Preferred Skills:
- Knowledge of Python, R, SAS, MATLAB, or SQL/relational databases
ASSUMPTION: Proficiency in data analysis tools and programming languages is a plus but not required, as training will be provided.
π° Compensation & Benefits
Salary Range: $130,000.00 - $140,000.00 USD (Anticipated base compensation)
Benefits:
- Comprehensive healthcare plan (medical, Rx, dental, and vision)
- Flexible spending accounts and a Health Savings Account (including company contributions)
- Life and AD&D insurance
- 401(k) retirement plan including company matching contributions
- Disability insurance
- Tuition Reimbursement
- Discretionary paid time off program and 11 paid holidays
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
Working Hours: 40 hours per week, with flexibility for a hybrid work arrangement (New York, Boston, Chicago)
ASSUMPTION: The salary range is market-competitive and may vary depending on the candidate's experience, qualifications, skills, and location. This role might also be eligible for a sales-based incentive or performance-based bonus.
π Applicant Insights
π Company Context
Industry: NielsenIQ is a global consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NielsenIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach.
Company Size: NielsenIQ is a large organization with over 10,000 employees worldwide, providing a diverse and dynamic work environment.
Founded: NielsenIQ was founded in 1923 and has since grown into a leading provider of consumer insights and data.
Company Description:
- NielsenIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth.
- The company provides a holistic retail read and the most comprehensive consumer insights through advanced analytics and state-of-the-art platforms, delivering the Full Viewβ’.
- NielsenIQ is an Advent International portfolio company with operations in over 100 markets, covering more than 90% of the world's population.
Company Specialties:
- Omnichannel
- Ecommerce
- FMCG data
- CPG data
- Data analytics
- SaaS
- Digital shelf
- E-commerce
- Analytics
- Data
- CPG
- CPG data
- EretailMedia
- Amazon S&S
- Location-based analytics
- And all location data
Company Website: https://nielseniq.com/global/en/
ASSUMPTION: NielsenIQ's extensive global presence and comprehensive consumer insights make it an attractive employer for those interested in consumer behavior, data analysis, and market research.
π Role Analysis
Career Level: This role is suitable for experienced professionals with 5-10 years of relevant experience in consulting, analytics, or brand strategy.
Reporting Structure: The Brand Growth Consultant will report directly to the Financial Services Data as a Service (DaaS) Research Team.
Work Arrangement: This role is offered as a hybrid position, with a flexible working environment and the option to work remotely from New York, Boston, or Chicago.
Growth Opportunities:
- Working with a diverse range of clients and datasets, providing opportunities to learn and develop new skills.
- Collaborating with cross-functional teams to deliver unique data solutions and insights.
- Potential career progression within the Financial Services Data as a Service (DaaS) Research Team or other departments within NielsenIQ.
ASSUMPTION: This role offers opportunities for professional growth and development within a dynamic and innovative organization.
π Location & Work Environment
Office Type: NielsenIQ offers a flexible working environment, with the option to work remotely or from one of their offices in New York, Boston, or Chicago.
Office Location(s): New York, Boston, Chicago
Geographic Context:
- New York, Boston, and Chicago are major metropolitan areas with diverse populations and vibrant business communities.
- Each location offers a unique blend of cultural, recreational, and professional opportunities.
- The hybrid work arrangement allows for a balance between remote work and in-person collaboration with colleagues.
Work Schedule: The standard workweek is 40 hours, with flexibility for a hybrid work arrangement (New York, Boston, Chicago).
ASSUMPTION: The hybrid work arrangement provides a balance between remote work and in-person collaboration, fostering a flexible and inclusive work environment.
πΌ Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screening
- In-depth behavioral and technical interviews
- Final round interview with the hiring manager
Key Assessment Areas:
- Data analysis and problem-solving skills
- Communication and presentation skills
- Client engagement and relationship-building skills
- Adaptability and ability to work in a fast-paced environment
Application Tips:
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role.
- Demonstrate your understanding of the role and NielsenIQ's mission and values in your application materials.
- Prepare examples of your data analysis and problem-solving skills to discuss during the interview.
- Research NielsenIQ's clients and industry to show your familiarity with the company's work and market.
ATS Keywords: Data analysis, client engagement, statistical analysis, Python, R, SAS, MATLAB, SQL, Microsoft Excel, problem-solving, communication, organizational skills, quantitative aptitude, brand strategy, consulting, analytics
ASSUMPTION: The application process for this role is competitive, and applicants should be prepared to demonstrate their skills and qualifications through a series of interviews.
π οΈ Tools & Technologies
- Python
- R
- SAS
- MATLAB
- SQL/relational databases
- Microsoft Excel
- Statistical analysis software
ASSUMPTION: Proficiency in these tools and technologies is preferred but not required, as training will be provided.
π Cultural Fit Considerations
Company Values:
- Integrity
- Respect
- Excellence
- Accountability
- Innovation
Work Style:
- Collaborative and team-oriented
- Data-driven and analytical
- Adaptable and responsive to change
- Client-focused and results-oriented
Self-Assessment Questions:
- Do you thrive in a dynamic, fast-paced environment?
- Are you comfortable working with large datasets and performing complex statistical analyses?
- Can you effectively communicate technical concepts to non-technical stakeholders?
- Do you have experience working with Private Equity clients or Brand Corp Dev teams?
ASSUMPTION: NielsenIQ values candidates who are strong analytical thinkers, excellent communicators, and adaptable team players with a client-focused mindset.
β οΈ Potential Challenges
- The role requires working with large datasets and performing complex statistical analyses, which may be challenging for those without a strong quantitative background.
- The fast-paced environment may be demanding for those who prefer a more structured or predictable work environment.
- The role involves engaging with clients, which may require travel or in-person meetings, depending on the client's location and preferences.
- The hybrid work arrangement may present challenges for those who prefer a fully remote or fully on-site work environment.
ASSUMPTION: These challenges can be overcome with strong analytical skills, excellent communication, adaptability, and a client-focused mindset.
π Similar Roles Comparison
- This role is unique in its focus on the Private Equity client base and the combination of data analysis, client engagement, and problem-solving responsibilities.
- Compared to other consulting or analytics roles, this position offers a more specialized focus on the Private Equity industry and the unique data solutions required to support it.
- Career progression in this role may lead to opportunities in other departments within NielsenIQ, such as client management, business development, or data strategy.
ASSUMPTION: This role offers a unique combination of data analysis, client engagement, and problem-solving responsibilities, making it an attractive opportunity for experienced professionals seeking to specialize in the Private Equity industry.
π Sample Projects
- Analyzing and modeling company performance data to identify trends and insights for Private Equity clients.
- Developing and delivering unique data solutions to address specific client needs and market opportunities.
- Creating and presenting client-facing reports and presentations to communicate insights and recommendations effectively.
ASSUMPTION: These sample projects demonstrate the range of responsibilities and skills required for this role, from data analysis and modeling to client engagement and communication.
β Key Questions to Ask During Interview
- Can you describe the team structure and dynamics within the Financial Services Data as a Service (DaaS) Research Team?
- How does this role collaborate with other departments within NielsenIQ, such as client management or business development?
- What are the key priorities and goals for this role in the first 30, 60, and 90 days?
- How does NielsenIQ support the professional development and growth of its employees?
- What are the most challenging aspects of working with Private Equity clients, and how does this role address those challenges?
ASSUMPTION: These key questions help applicants understand the role's dynamics, priorities, and growth opportunities, as well as the company's culture and support for employee development.
π Next Steps for Applicants
To apply for this position:
- Submit your application through this link: https://jobs.smartrecruiters.com/NielsenIQ/744000055780563-brand-growth-consultant-pe-consumer-data-
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role.
- Prepare examples of your data analysis and problem-solving skills to discuss during the interview.
- Research NielsenIQ's clients and industry to show your familiarity with the company's work and market.
- Follow up with the hiring manager one week after submitting your application to express your interest in the role.
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.