A

Marketing Science Analyst

Analytic Partners
Full-time
On-site
Remote
πŸ“Š Marketing Analyst

πŸ“Œ Core Information

πŸ”Ή Job Title: Marketing Science Analyst

πŸ”Ή Company: Analytic Partners

πŸ”Ή Location: Dublin, County Dublin

πŸ”Ή Job Type: Hybrid

πŸ”Ή Category: Marketing

πŸ”Ή Date Posted: May 7, 2025

πŸ”Ή Experience Level: Entry-level to 3 years

πŸ”Ή Remote Status: On-site with hybrid option

πŸš€ Job Overview

Key aspects of this role include:

  • Analyzing consumer behavior, market trends, and campaign performance data
  • Developing and maintaining statistical models to predict consumer behavior
  • Collaborating with teams to drive analyses and insights, presenting findings to clients
  • Working independently on analytical tasks and building data pipelines
  • Contributing to a results-driven, creative, and collaborative team environment

ASSUMPTION: This role involves a significant amount of data analysis and requires strong problem-solving skills. It also requires effective communication to present insights to clients.

πŸ“‹ Key Responsibilities

βœ… Collect and analyze data related to consumer behavior, market trends, and campaign performance

βœ… Develop and maintain statistical models that predict consumer behavior, campaign performance, and other key metrics

βœ… Collaborate as part of a team to drive analyses and insights, walking customers through dashboards and developing narratives that explain results and aid in more informed decisions and improved business performance

βœ… Work independently on analytical tasks, building, and optimizing β€˜big data’ data pipelines, architectures, and data sets

βœ… Contribute to a results-driven, creative, and collaborative team environment

ASSUMPTION: The role requires a balance of independent work and team collaboration, with a focus on delivering insights that drive business solutions.

🎯 Required Qualifications

Education: Bachelor’s degree or above in Business Analytics and Management, Economics, Statistics, Mathematics, Marketing, or a related field

Experience: Recent graduates or those with 1-3 years of internship or professional work experience in advanced and predictive analytics, marketing analytics, or related fields

Required Skills:

  • Strong working knowledge of Microsoft PowerPoint and Excel
  • Demonstrated analytical principles, strong problem-solving skills, and attention to detail
  • Experience working independently on analytical tasks and building data pipelines
  • Comfortable working with a team developing and presenting presentations using insights derived from analytics
  • Experience using data to solve business questions and drive business solutions
  • Strong written and verbal communication appropriate for a professional work environment

Preferred Skills:

  • Familiarity with SQL, Python, or R
  • Experience with data visualization tools (e.g., Tableau, Power BI)

ASSUMPTION: While not explicitly stated, familiarity with programming languages and data visualization tools would be beneficial for this role.

πŸ’° Compensation & Benefits

Salary Range: €35,000 - €45,000 per year (Estimated based on market research for entry-level marketing analytics roles in Dublin)

Benefits:

  • Health insurance
  • Dental insurance
  • Vision insurance
  • 401(k) plan
  • Paid time off
  • Employee assistance program

Working Hours: Full-time (40 hours per week), with flexible hours and remote work options available

ASSUMPTION: The salary range is estimated based on market research for entry-level marketing analytics roles in Dublin. Actual compensation may vary based on experience and qualifications.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Advertising Services

Company Size: 201-500 employees

Founded: 2000

Company Description:

  • Analytic Partners is a global leader in commercial measurement and optimization, turning data into expertise for the world’s largest brands
  • The company offers a holistic approach to decisioning, powered by its industry-leading platform and team of experts
  • Analytic Partners helps leaders make better decisions, faster – unlocking business growth and creating powerful customer connections

Company Specialties:

  • Marketing Mix Modeling
  • Marketing Analytics
  • Customer Segmentation
  • Return on Marketing Investment
  • Marketing Consulting
  • Software and Dashboards
  • Unified Measurement
  • Multi-touch Attribution
  • Commercial Mix Modeling
  • Brand Impact

Company Website: analyticpartners.com

ASSUMPTION: Analytic Partners is a well-established company in the advertising services industry, with a strong focus on data-driven decision-making and client-centric solutions.

πŸ“Š Role Analysis

Career Level: Entry-level to mid-level

Reporting Structure: This role reports to the Marketing Science Manager

Work Arrangement: Hybrid (2-3 days on-site, with the rest of the week remote)

Growth Opportunities:

  • Progression to Senior Marketing Science Analyst or similar roles
  • Expansion into other areas of the business, such as consulting or client management
  • Opportunities to work on international projects and gain global experience

ASSUMPTION: This role offers opportunities for growth and development within the company, as well as exposure to international projects and clients.

🌍 Location & Work Environment

Office Type: Modern, collaborative office space

Office Location(s): 3-10 Chancery Lane, 5th floor, The Chancery, Dublin 8, D08 E4PK, IE

Geographic Context:

  • Dublin is the capital and largest city of Ireland, with a population of over 1.2 million
  • The city is known for its vibrant culture, rich history, and thriving tech industry
  • Dublin offers a high quality of life, with a variety of amenities, including parks, museums, and entertainment options

Work Schedule: Monday to Friday, with flexible hours and remote work options available

ASSUMPTION: The Dublin office provides a modern, collaborative work environment, with easy access to the city's amenities and cultural attractions.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Online application and resume screening
  • Phone or video screening with the HR team
  • Technical assessment or case study
  • In-person or video interview with the hiring manager and team members
  • Final decision and offer

Key Assessment Areas:

  • Analytical skills and problem-solving abilities
  • Communication and presentation skills
  • Cultural fit and team collaboration
  • Technical proficiency in relevant tools and software

Application Tips:

  • Highlight relevant experience and skills in your resume, using specific examples and quantifiable achievements
  • Tailor your cover letter to the role, demonstrating your understanding of the company and the specific requirements of the position
  • Prepare for the technical assessment or case study by brushing up on your analytical skills and reviewing relevant industry trends
  • Research the company and the team you'll be working with, and come prepared with thoughtful questions to ask during the interview

ATS Keywords: Marketing Science, Data Analysis, Statistical Modeling, Consumer Behavior, Market Trends, Campaign Performance, Data Pipelines, Business Solutions, Attention to Detail, Presentation Skills, Insight Development

ASSUMPTION: The interview process for this role is likely to be competitive, with a strong focus on analytical skills and cultural fit. Applicants should be prepared to demonstrate their problem-solving abilities and communication skills throughout the process.

πŸ› οΈ Tools & Technologies

  • Microsoft PowerPoint
  • Microsoft Excel
  • SQL (preferred)
  • Python or R (preferred)
  • Data visualization tools (e.g., Tableau, Power BI)

ASSUMPTION: While not explicitly stated, familiarity with SQL, Python, or R, and data visualization tools would be beneficial for this role.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Results Driven
  • Effective Communication
  • Accountability & Integrity
  • Creative Collaboration
  • Harnessing Innovation

Work Style:

  • Data-driven and analytical
  • Collaborative and team-oriented
  • Adaptable and open to feedback
  • Results-focused and proactive

Self-Assessment Questions:

  • Do you have strong analytical skills and a proven ability to work with data?
  • Are you comfortable working in a collaborative team environment, contributing to discussions and presenting findings to clients?
  • Do you have a proactive and results-driven approach to your work, with a strong attention to detail?
  • Are you open to feedback and willing to adapt your approach based on input from team members?

ASSUMPTION: Analytic Partners values a data-driven, collaborative, and results-focused work environment. Applicants should be able to demonstrate their analytical skills and ability to work effectively in a team setting.

⚠️ Potential Challenges

  • Working with large and complex datasets, requiring strong problem-solving skills and attention to detail
  • Meeting tight deadlines and delivering high-quality insights under pressure
  • Adapting to a fast-paced and dynamic work environment, with changing priorities and projects
  • Collaborating effectively with team members across different time zones and cultures

ASSUMPTION: This role may present challenges related to data management, time management, and team collaboration. Applicants should be prepared to work effectively in a fast-paced and dynamic environment, with a strong focus on delivering high-quality insights.

πŸ“ˆ Similar Roles Comparison

  • This role is similar to a Junior Data Analyst or Junior Marketing Analyst position, with a focus on data analysis and insight development
  • Unlike some other marketing analytics roles, this position requires a strong background in statistical modeling and data-driven decision-making
  • Career progression in this role may lead to opportunities in marketing consulting, client management, or other areas of the business

ASSUMPTION: This role is similar to other entry-level data or marketing analytics positions, with a focus on data analysis and insight development. However, it requires a strong background in statistical modeling and data-driven decision-making.

πŸ“ Sample Projects

  • Developing a predictive model to forecast consumer behavior based on historical data
  • Analyzing campaign performance data to identify trends and optimize marketing strategies
  • Creating a dashboard to visualize key metrics and facilitate data-driven decision-making

ASSUMPTION: These sample projects are intended to illustrate the types of tasks and responsibilities associated with this role. Actual projects may vary based on the specific needs of the company and its clients.

❓ Key Questions to Ask During Interview

  • Can you describe a typical day or week in this role?
  • How does this role contribute to the overall success of the company and its clients?
  • What opportunities are there for professional development and growth within the company?
  • How does the team collaborate and support one another in achieving our goals?
  • What are the most challenging aspects of this role, and how can I best prepare for them?

ASSUMPTION: These interview questions are designed to provide insight into the day-to-day responsibilities, team dynamics, and growth opportunities associated with this role. Applicants should tailor their questions to the specific needs and priorities of the company and the team.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through the following link: Analytic Partners - Marketing Science Analyst
  • Tailor your resume and cover letter to highlight your relevant experience and skills, using specific examples and quantifiable achievements
  • Prepare for the technical assessment or case study by brushing up on your analytical skills and reviewing relevant industry trends
  • Research the company and the team you'll be working with, and come prepared with thoughtful questions to ask during the interview
  • Follow up with the hiring manager or HR team one week after your interview to express your continued interest in the position

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