📌 Core Information
🔹 Job Title: Brand Growth Consultant (PE/Consumer Data)
🔹 Company: NielsenIQ
🔹 Location: Remote (New York or Boston)
🔹 Job Type: Full-time
🔹 Category: Data & Analytics
🔹 Date Posted: 2025-04-28
🔹 Experience Level: 5-10 years
🔹 Remote Status: Hybrid (New York or Boston)
🚀 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 insights for Asset Management clients.
- Collaborating with cross-functional teams to create valuable and insightful analyses.
- Working in a dynamic environment, comfortable with tight deadlines and fast-paced work.
ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and the ability to work independently and in teams.
📋 Key Responsibilities
✅ Supporting the suite of raw datasets, including data trial support for prospects or current clients trying a new dataset.
✅ 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 the signals that exist within our e-commerce data set through modelling and statistical analyses to create client insights for marketing and client engagement.
ASSUMPTION: The role involves a mix of data analysis, client interaction, and project management, requiring strong organizational skills and the ability to multitask.
🎯 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
- Knowledge of Python, R, SAS, MATLAB, or SQL/relational databases (preferred)
- Strong verbal, presentation, and written skills
- Strong planning and organizational skills
- Quantitative aptitude with proven data analysis and problem-solving skills
Preferred Skills:
- Experience with data visualization tools (e.g., Tableau, Power BI)
- Fluency in additional languages
ASSUMPTION: Proficiency in programming languages and data analysis tools is crucial for success in this role. Familiarity with data visualization tools is a plus.
💰 Compensation & Benefits
Salary Range: $130,000.00 - $140,000.00 per year
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: Full-time, with flexible working environment
ASSUMPTION: The salary range provided is an estimate based on industry standards for similar roles. Actual salaries may vary depending on the candidate's experience, qualifications, and location.
📌 Applicant Insights
🔍 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 has 10,001+ employees worldwide.
Founded: NielsenIQ was founded in 1923 and is headquartered in Chicago, Illinois.
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.
- Their comprehensive retail read and advanced analytics through state-of-the-art platforms deliver the Full View™.
- NielsenIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world's population.
Company Specialties:
- Omnichannel
- Ecommerce
- FMCG data
- CPG data
- Data analytics
- SaaS
- Digital shelf
- Location-based analytics
- And all location data
Company Website: https://nielseniq.com/global/en/
ASSUMPTION: NielsenIQ's extensive global reach and comprehensive consumer insights make it an attractive employer for data-driven professionals.
📊 Role Analysis
Career Level: This role is at the mid-career level, requiring significant experience in consulting, analytics, or brand strategy.
Reporting Structure: The role reports to the Financial Services Data as a Service (DaaS) Research Team.
Work Arrangement: This is a hybrid role, with the option to work remotely from New York or Boston.
Growth Opportunities:
- Potential career progression within NielsenIQ's data and analytics teams.
- Opportunities to work on diverse projects and gain exposure to various industries.
- Access to professional development resources, such as LinkedIn Learning.
ASSUMPTION: NielsenIQ's large global presence and diverse client base offer numerous growth opportunities for the right candidate.
🌍 Location & Work Environment
Office Type: NielsenIQ has multiple office locations worldwide, with this role being hybrid (New York or Boston).
Office Location(s): New York, New York, and Boston, Massachusetts
Geographic Context:
- New York, NY: A major global financial hub with a vibrant job market and diverse cultural scene.
- Boston, MA: Known for its rich history, prestigious universities, and thriving tech industry.
Work Schedule: Full-time, with a flexible working environment
ASSUMPTION: The hybrid work arrangement offers a good balance between in-office collaboration and remote flexibility.
💼 Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screen with the hiring manager
- In-depth technical interview with the data team
- Final interview with the team lead or director
Key Assessment Areas:
- Data analysis and problem-solving skills
- Communication and presentation skills
- Understanding of Private Equity and consumer data
- Cultural fit and team dynamics
Application Tips:
- Highlight relevant experience and skills in your resume, focusing on data analysis, consulting, and Private Equity exposure.
- Tailor your cover letter to demonstrate your understanding of NielsenIQ's business and the role's requirements.
- Prepare examples of your data analysis work and be ready to discuss them during the interview.
ATS Keywords: Data analysis, Private Equity, consumer data, brand strategy, consulting, Python, R, SAS, MATLAB, SQL, Microsoft Excel
ASSUMPTION: NielsenIQ's interview process is designed to assess both technical skills and cultural fit, with a focus on data analysis and problem-solving abilities.
🛠️ Tools & Technologies
- Python, R, SAS, MATLAB, or SQL/relational databases
- Microsoft Excel
- Data visualization tools (e.g., Tableau, Power BI)
ASSUMPTION: Familiarity with these tools and technologies is essential for success in this role. Candidates should be comfortable learning and using new tools as needed.
👔 Cultural Fit Considerations
Company Values:
- Integrity
- Innovation
- Collaboration
- Accountability
- Client-centricity
Work Style:
- Data-driven and analytical
- Collaborative and team-oriented
- Adaptable and responsive to change
- Client-focused and results-oriented
Self-Assessment Questions:
- Do you have a strong analytical mindset and excellent communication skills?
- Are you comfortable working in a dynamic, fast-paced environment with tight deadlines?
- Do you thrive in a collaborative, team-oriented work culture?
ASSUMPTION: NielsenIQ values employees who are data-driven, innovative, and client-centric, with a strong focus on collaboration and accountability.
⚠️ Potential Challenges
- Working with large datasets and complex data analysis tools may present technical challenges.
- Balancing client engagement and data analysis responsibilities may require strong time management skills.
- Adapting to a hybrid work environment may present initial adjustments for some employees.
- Working with clients in the Private Equity industry may require understanding of specific industry dynamics and terminology.
ASSUMPTION: These challenges can be overcome with strong technical skills, effective time management, and a willingness to adapt to new environments and industries.
📈 Similar Roles Comparison
- Compared to other data analyst roles, this position focuses more on client engagement and industry-specific insights (Private Equity).
- In the broader data and analytics industry, this role offers a unique blend of client-facing and data analysis responsibilities.
- Career progression in this role may lead to more specialized data analyst or client management positions within NielsenIQ or other organizations.
ASSUMPTION: This role offers a unique blend of data analysis and client engagement responsibilities, making it an attractive option for professionals looking to develop skills in both areas.
📝 Sample Projects
- Analyzing consumer data to identify trends and insights for Private Equity clients.
- Developing and presenting customized data solutions to meet the specific needs of clients.
- Collaborating with cross-functional teams to create valuable and insightful analyses for marketing and client engagement.
ASSUMPTION: These sample projects illustrate the data analysis, client engagement, and collaborative aspects of the role, highlighting the diverse responsibilities and skills required for success.
❓ Key Questions to Ask During Interview
- Can you describe a typical day or week in this role?
- How does this role collaborate with other teams within NielsenIQ?
- What are the most challenging aspects of working with Private Equity clients?
- How does NielsenIQ support the professional development of its employees?
- What is the company culture like, and how does this role fit into the broader organization?
ASSUMPTION: Asking these questions demonstrates your interest in the role and provides valuable insights into the work environment and company culture.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume to highlight relevant experience and skills, focusing on data analysis, consulting, and Private Equity exposure.
- Write a cover letter that demonstrates your understanding of NielsenIQ's business and the role's requirements.
- Prepare examples of your data analysis work and be ready to discuss them during the interview.
- Follow up with the hiring manager one week after submitting your application, expressing your interest in the role and asking if there is any additional information you can provide.
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
