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Marketing Science Analyst - Modelling

NielsenIQ
Full-time
On-site
Bucharest, Bucureşti, Romania
πŸ“Š Marketing Analyst

πŸ“Œ Core Information

πŸ”Ή Job Title: Marketing Science Analyst - Modelling

πŸ”Ή Company: NielsenIQ

πŸ”Ή Location: Bucharest, Bucureşti, Romania

πŸ”Ή Job Type: On-site

πŸ”Ή Category: πŸ“Š Marketing Analyst

πŸ”Ή Date Posted: Tue Apr 01 2025

πŸ”Ή Experience Level: 2-5 years

πŸ”Ή Remote Status: Hybrid

πŸ“Œ Essential Job Details

πŸš€ Job Overview

Key aspects of this role include:

  • Handling projects from a modelling perspective
  • Understanding project briefs from internal stakeholders
  • Identifying and executing suitable analytic solutions
  • Delivering results in a business/non-technical format

ASSUMPTION: The role requires growth into more independent project management as experience increases, highlighting potential leadership pathways.

πŸ“‹ Key Responsibilities

βœ… Execute analyses error-free and on time

βœ… Manage execution of multiple analyses within projects

βœ… Build efficiencies by streamlining existing solutions

βœ… Conduct both standard and non-standard analyses

βœ… Develop expertise in existing analytical solutions

βœ… Support R&D through planned analyses

ASSUMPTION: Responsibilities assume a collaborative environment where analysts work closely with cross-functional teams.

🎯 Required Qualifications

Education: Postgraduate degree in Statistics, Mathematics, Economics, or Operations Research

Experience: 2-3 years in a data analysis role

Required Skills:

  • Data Analysis
  • Statistical Modelling
  • Communication Skills
  • Analytical and Problem-Solving Skills
  • Attention to Detail

Preferred Skills:

  • Proficiency in R, Python, SQL, VBA
  • Experience with Regression, Cluster, and Factor Analyses

ASSUMPTION: Preferred qualifications suggest a focus on data science-oriented roles within diverse industry settings.

πŸ’° Compensation & Benefits

Salary Range: Not specified; competitive parameters expected based on market standards

Benefits:

  • Private medical coverage
  • Hybrid working module
  • Meal Tickets/monthly
  • Easter and Christmas vouchers/tickets
  • Mentoring – Mentee Program
  • Volunteer time off
  • Internal Recognition Program
  • Free LinkedIn Learning access
  • Employee Assistance Programs (EAP)

Working Hours: 40 hours per week, with potential flexibility depending on project demands

ASSUMPTION: Benefits are designed to support a healthy work-life balance, indicative of a supportive employer.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Software Development, with a focus on consumer intelligence data

Company Size: 10,001+ employees, providing vast opportunities for professional networking and career advancement

Founded: 1923, with a long-standing history in market analytics and research

Company Description:

  • World’s leading consumer intelligence company
  • Combined expertise with GfK in 2023
  • Delivers comprehensive consumer insights through advanced analytics

Company Specialties:

  • Omnichannel
  • Ecommerce
  • Data Analytics

Company Website: Visit Website

ASSUMPTION: Analysis assumes company's reputation attracts individuals seeking robust digital analytics roles.

πŸ“Š Role Analysis

Career Level: Mid-level, requiring independent project execution

Reporting Structure: Reports likely to senior analysts or department leads

Work Arrangement: Hybrid, offering flexibility between office and home environments

Growth Opportunities:

  • Leadership development as experts in analytics
  • R&D involvement for innovation in analytical processes
  • Cross-functional stakeholder engagement skills

ASSUMPTION: Growth is anticipated in both technical and leadership capacities, allowing diverse career trajectories.

🌍 Location & Work Environment

Office Type: Corporate office in a metropolitan setting

Office Location(s): Located in Bucharest, central for cultural and business interactions

Geographic Context:

  • Romania's capital, a hub for technology and business
  • Known for modern infrastructure and international companies
  • Dynamic cultural scene with historical influence

Work Schedule: Standard office hours with potential for flexible arrangements

ASSUMPTION: On-site requirement suggests role involves significant in-person collaboration.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Initial application review and screening
  • Technical assessment on data analysis proficiency
  • Interviews with senior analysts and HR representatives

Key Assessment Areas:

  • Technical skills in statistical techniques
  • Communication abilities for presenting data
  • Problem-solving and analytical mindset

Application Tips:

  • Highlight experience with relevant data tools
  • Showcase examples of prior analytical projects
  • Demonstrate clear communication of complex data analysis

ATS Keywords: Data Analysis, R, Python, SQL, Statistical Modelling

ASSUMPTION: The application process is likely competitive, emphasizing analytical capabilities and innovation.

πŸ› οΈ Tools & Technologies

  • R
  • Python
  • SQL
  • VBA
  • Microsoft Excel

ASSUMPTION: Familiarity with these technologies is critical for success in this analytics-focused role.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Diversity and inclusion
  • Innovation and R&D
  • Data-driven decision making

Work Style:

  • Collaborative team environment
  • Focus on problem-solving and efficiency
  • Innovation through research and development

Self-Assessment Questions:

  • Am I comfortable working in a fast-paced, data-intensive environment?
  • Do I have the technical skills necessary to contribute effectively?
  • Am I willing to collaborate with diverse teams and stakeholders?

ASSUMPTION: Cultural alignment emphasizes collaborative innovation and a commitment to diversity.

⚠️ Potential Challenges

  • Balancing multiple projects and deadlines
  • Translating complex data analysis into business insights
  • Staying updated with evolving analytical tools
  • Integrating with cross-functional teams effectively

ASSUMPTION: Challenges will require strong organizational skills and adaptability.

πŸ“ˆ Similar Roles Comparison

  • More autonomy in project execution compared to junior analyst roles
  • Higher emphasis on research and innovation
  • Broader stakeholder engagement opportunities

ASSUMPTION: Analogous roles in the industry often include entry-level data analysts or senior analyst pathways.

πŸ“ Sample Projects

  • Statistical modelling for FMCG market trends
  • R&D initiatives for innovative analytical solutions
  • Data-driven insights presentations for internal stakeholders

ASSUMPTION: Sample projects are based on typical industry practices in data-intensive environments.

❓ Key Questions to Ask During Interview

  • What training opportunities does NielsenIQ offer for career development?
  • How does the team approach cross-departmental collaborations?
  • What metrics are used to evaluate success in this role?
  • How has the company's recent merger with GfK impacted the workflow?
  • Can you describe a typical day in the life of someone in this role?

ASSUMPTION: These questions aim to provide deeper insights into the role and the company's strategic directions.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through this link
  • Prepare for relevant technical assessments
  • Research NielsenIQ's recent projects and mergers
  • Emphasize hands-on experience with required data tools in your application
  • Follow-up post-interview with thoughtful questions about the role

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.

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