Jobs · Information Technology · Illinois

Data Analyst, Global Modeling Unit

Ipsos in US · Chicago, IL · 2 wk ago
HybridInformation Technology$59/hrFull-time

What you can expect to be doing

  • Clean, structure, code, and summarize survey and secondary data
  • Use statistical software (SPSS, R, etc.) and business software (Excel) to uncover and evaluate solutions, and assist project staff in running statistical analyses
  • Apply programming skills (Excel VBA, Python, etc.) to help automate standard statistical procedures and chart creation
  • Demonstrate your understanding of multivariate analysis and Ipsos proprietary products, and work with Client Service from understanding business questions, to design, analysis and application
  • Work from an analytic plan, assemble Excel outputs or PowerPoint decks to provide results and explanations for Client Service
  • Ensure the timely delivery of error-free work

Requirements

  • BS degree or MS degree in Quantitative Marketing or Social Sciences, Statistics, Applied Mathematics, Marketing Research, or a related field of study with an analytic/quantitative/research focus
  • Statistical analysis background is desirable
  • Knowledge and hands-on experience of SPSS or other statistical analysis packages
  • Python, R, VBA coding experience a bonus
  • Understanding of text analytics and AI in marketing research
  • Good communication skills and ability to present data findings in an easy-to-understand manner to internal and external clients

Qualifications

  • Inquisitive personality with a strong desire to learn
  • Ability to work both independently and as part of a team
  • Good attention to details and logical decision-making process

Skills

  • BS degree or MS degree in Quantitative Marketing or Social Sciences, Statistics, Applied Mathematics, Marketing Research, or a related field of study with an analytic/quantitative/research focus
  • Statistical analysis background is desirable
  • Knowledge and hands-on experience of SPSS or other statistical analysis packages
  • Python, R, VBA coding experience a bonus
  • Understanding of text analytics and AI in marketing research

Benefits

The estimated base salary range for this role is $59,000 to $71,000. Your final base salary will be determined based on several non-discriminatory factors which may include but are not limited to location, work experience, skills, knowledge, education and/or certifications.

At Ipsos you’ll experience opportunities for Career Development, an exceptional benefits package (including generous PTO, healthcare plans, wellness benefits), a flexible workplace policy, and a strong collaborative culture.

For more information about all the great reasons to work at Ipsos, how we’re making an impact around the world, and more about our benefits and employee programs, please visit: Why Work at Ipsos | US

Ipsos is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or any other protected class and will not be discriminated against on the basis of disability.

About Us: Ipsos is one of the world’s largest research companies and currently the only one primarily managed by researchers, ranking as a #1 full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights.

About The Team: The Innovation Service Line guides clients throughout the innovation journey as they develop and launch new or improved products and services spanning a range of verticals. We help our clients develop the initial idea for a product/service, ensure the fully-articulated description of the product/service resonates with consumers, confirm that prototypes of the product/service properly deliver on consumer expectations, and finetune the full mix prior to launch.

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