π Core Information
πΉ Job Title: Brand Growth Consultant (PE/Consumer Data)
πΉ Company: NielsenIQ
πΉ Location: Remote, Boston, MA, United States
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 or Boston)
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, building, and delivering unique data solutions to provide clarity on important questions for Asset Management clients.
- Collaborating with cross-functional teams to create valuable and insightful analyses.
- Communicating insights directly with clients and serving as a resource for clients on datasets.
ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and the ability to work in a dynamic 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 modelling and statistical analyses to create client insights for marketing and client engagement.
ASSUMPTION: The role involves working with large datasets and requires strong analytical skills to derive meaningful insights.
π― Required Qualifications
Education: Bachelor's or Advanced degree
Experience: Minimum 5 years of consulting, analytics, or brand strategy experience
Required Skills:
- Experience working with Private Equity and Brand Corp Dev teams
- Ability to work under tight deadlines and fast-paced environment
- Knowledge of Python, R, SAS, MATLAB, or SQL/relational databases (preferred)
- 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
Preferred Skills:
- Desire to learn and continually upgrade skills
- Disposition to simplify research, work processes, and complex statistical concepts
- 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
- Enthusiasm for working hard and having fun in a dynamic environment
ASSUMPTION: While not explicitly stated, proficiency in English is likely required for this role.
π° Compensation & Benefits
Salary Range: $130,000.00 - $140,000.00 (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: Full-time (40 hours per week)
ASSUMPTION: The salary range provided is an estimate and may vary based on the candidate's experience, qualifications, skills, and location.
π Applicant Insights
π Company Context
Industry: NielsenIQ is a consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. They operate in the Software Development industry.
Company Size: NielsenIQ has 10,001+ employees, making it an enterprise-sized company.
Founded: NielsenIQ was founded in 1923 and combined with GfK in 2023, bringing together the two industry leaders with unparalleled global reach.
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 offers a holistic retail read and the most comprehensive consumer insights, delivered with advanced analytics through state-of-the-art platforms, providing the Full Viewβ’.
- 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
- E-commerce
- Analytics
- Data
- CPG
- CPG data
- Eretail Media
- Amazon S&S
- Location-based Analytics
- And All Location Data
Company Website: https://nielseniq.com/global/en/industries/digital-commerce/
ASSUMPTION: NielsenIQ's focus on consumer intelligence and data-driven insights makes it an attractive employer for data-driven professionals.
π Role Analysis
Career Level: This role is at the mid-career level, requiring a significant amount of experience in consulting, analytics, or brand strategy.
Reporting Structure: The reporting structure for this role is not explicitly stated, but it is likely that the Brand Growth Consultant will work closely with the Financial Services Data as a Service (DaaS) Research Team and clients.
Work Arrangement: This role is a hybrid position, requiring the candidate to sit in either New York or Boston at the time of application.
Growth Opportunities:
- Potential to work with a diverse range of clients and datasets, providing opportunities to learn and grow professionally.
- Chance to collaborate with cross-functional teams, exposing the candidate to different aspects of the business.
- Possibility to advance within the company as it continues to grow and expand its offerings.
ASSUMPTION: NielsenIQ's focus on data-driven insights and growth opportunities makes this role an attractive option for experienced professionals looking to advance their careers.
π Location & Work Environment
Office Type: Hybrid (New York or Boston)
Office Location(s): New York, New York, United States; Boston, Massachusetts, United States
Geographic Context:
- New York, NY: A major global city with a diverse economy and a large financial services industry.
- Boston, MA: A historic city with a strong financial services industry and a thriving tech scene.
Work Schedule: Full-time (40 hours per week) with flexible working environment and discretionary paid time off program.
ASSUMPTION: The hybrid work arrangement allows for a balance between in-office collaboration and remote work, providing flexibility for employees.
πΌ Interview & Application Insights
Typical Process:
- Online application submission through the provided link.
- Phone or video screen with the hiring manager or HR representative.
- In-depth interview with the hiring manager and/or team members.
- Final round interview with senior leadership or other stakeholders.
Key Assessment Areas:
- Analytical skills and ability to derive insights from data.
- Communication skills and ability to present complex information clearly and concisely.
- Problem-solving skills and ability to work under tight deadlines.
- Cultural fit and alignment with NielsenIQ's values and work environment.
Application Tips:
- Tailor your resume and cover letter to highlight relevant experience and skills for this role.
- Demonstrate your understanding of the role and NielsenIQ's business by providing specific examples of how your background and skills make you a strong fit.
- Prepare for behavioral interview questions that focus on your problem-solving skills, communication skills, and ability to work under tight deadlines.
ATS Keywords: Brand Growth, Consultant, Private Equity, Consumer Data, Analytics, Data-driven Insights, Client Engagement, Marketing, Financial Services, Asset Management, Remote Work, Hybrid Work, Boston, New York
ASSUMPTION: NielsenIQ's use of an Applicant Tracking System (ATS) means that including relevant keywords in your resume and cover letter can help your application be seen by the right people.
π οΈ Tools & Technologies
- Python, R, SAS, MATLAB, or SQL/relational databases (preferred)
- Microsoft Excel
- LinkedIn Learning
ASSUMPTION: Proficiency in these tools and technologies is required for this role, as they are essential for analyzing and presenting data-driven insights.
π Cultural Fit Considerations
Company Values:
- Integrity
- Innovation
- Collaboration
- Excellence
- Diversity, Equity, and Inclusion
Work Style:
- Data-driven and analytical
- Collaborative and team-oriented
- Adaptable and flexible
- Results-focused and action-oriented
- Committed to continuous learning and improvement
Self-Assessment Questions:
- Do you have a strong analytical mindset and the ability to derive insights from data?
- Are you comfortable working in a dynamic environment and under tight deadlines?
- Do you possess excellent communication skills and the ability to present complex information clearly and concisely?
- Are you committed to continuous learning and improvement?
- Do you align with NielsenIQ's values and work style?
ASSUMPTION: Assessing your fit with NielsenIQ's values and work style is crucial for success in this role and within the company.
β οΈ Potential Challenges
- Working with large datasets and complex statistical concepts may be challenging for those without strong analytical skills.
- The fast-paced environment may be overwhelming for those who prefer a more structured work environment.
- The hybrid work arrangement may present challenges for those who prefer a fully remote or fully on-site work environment.
- The competitive salary range may attract a large number of applicants, making the application and interview process more competitive.
ASSUMPTION: Being aware of these potential challenges can help you better prepare for the role and assess whether it is the right fit for you.
π Similar Roles Comparison
- This role is unique in its focus on the Private Equity client base within the Financial Services Data as a Service (DaaS) Research Team.
- Similar roles in other industries or within NielsenIQ may have different client bases or focus areas, but the core responsibilities and required qualifications may be similar.
- Career progression in this role may involve moving into a more senior role within the Financial Services Data as a Service (DaaS) Research Team or transitioning into a different team or function within NielsenIQ.
ASSUMPTION: Understanding the unique aspects of this role and how it compares to similar roles can help you better assess whether it is the right fit for your career goals.
π Sample Projects
- Analyzing and presenting insights on the drivers of company performance for a Private Equity client.
- Creating a client engagement strategy for a marketing campaign targeting Asset Management clients.
- Developing a data-driven approach to optimize search performance for an e-commerce client.
ASSUMPTION: These sample projects illustrate the types of tasks and responsibilities you may encounter in this role and provide insight into the kind of work you can expect to be doing.
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 teams and functions within NielsenIQ?
- What are the most challenging aspects of this role, and how can I best prepare for them?
- What opportunities are there for growth and development within this role and within NielsenIQ?
- How does NielsenIQ support work-life balance for employees in this role?
ASSUMPTION: Asking insightful questions during the interview process can help you better understand the role, the team, and the company, and demonstrate your interest and preparation for the position.
π Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight relevant experience and skills for this role.
- Prepare for behavioral interview questions that focus on your problem-solving skills, communication skills, and ability to work under tight deadlines.
- If selected for an interview, be prepared to discuss specific examples of how your background and skills make you a strong fit for this role.
- Follow up with the hiring manager or HR representative within one week of your interview to express your interest in the role and ask about next steps in the process.
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.