At Ipsos, we make market research work. We know numbers. We understand people. And we succeed in delivering results. That's why so many of the world's leading brands and organizations look to us for their research needs.

Have you always been curious about what influences people and the decisions they make? Do you love a good mystery? Feel compelled to seek out the true meaning of things?

Would you like to work with a team of passionate problem-solvers dedicated to bringing research insights and compelling data to life?

If all this sounds good so far, you could be just the person we're looking for.

About our team

We are the Ipsos Behavioral Data Group. We're a small but diverse growing team of data nerds specialized in understanding the pairing of digital behaviors with consumer mindsets. Over the past two years we have evolved our vast collection of custom project work into a standardized suite of business solutions. For 2019 we continue to expand the list of clients and portfolio of capabilities. It's an exciting time to join us. We have a voracious appetite for learning and a geeky sense of humor. This team doesn't shy away from challenges and we excel at tackling some of the toughest problems in market research today.

We work with Fortune 500 partners across all industries worldwide to bring new data streams into our business, combining them with advanced analytical and modeling techniques to develop a richer understanding of our clients' customers.

Behavioral Data Intern

Position Summary

We're looking for a dedicated and motivated individual proficient in SQL and data analysis to work in an internship role for 10 to 12 weeks. Our projects center us at the intersection of survey responses and internet consumption. As a data analyst intern, you will help us evaluate new and existing data partnerships by exploring the quality and effectiveness of mobile and desktop data from a variety of sources. You will diagnose potential issues and conduct thorough documentation and audit checks. You will also play a hands-on role developing new business capabilities and efficiency improvements. Self-motivation and strong communication skills are both must haves.

Key Responsibilities

Primary task is to audit and evaluate multiple metered panel companies we partner with.

• Live real-world testing of latest versions of the metered tracking software.
• Diary management of actions taken. Importing and transforming digital data from the partner.
• Analyzing data in SQL to check for completeness and quality.
• Develop prototype reports and sample insights that come from new sources.

Secondary task is to audit and evaluate semantic classification technology form data vendors.

• Clean,parse, and sample large volumes of digital text and URL data.
• Analyze and evaluate success rate for each partner, compared to existing classification system.
• Build an API infrastructure to retrieve data via automation.
• Develop refined process of semantic classification of natural language or unstructured data.

Toward the later weeks of the internship, tasks will be extended to include client project work.

• Compile and combine data from various sources into standardized outputs for analysis.
• Design, format, and perform quality checks of data handoffs to internal teams.
• Analyze results for key project learnings and present analysis to internal teams.

Must Have Qualifications

• Candidate for bachelor's degree in a quantitative subject. (Math, Stats, Computer Science, Economics, Engineering)
• Ability to think creatively and solve complex problems.
• Experience with using SQL, programming languages, or statistics for analytical techniques.
• Good knowledge of foundational data warehousing concepts, best practices, and procedures.
• Strong verbal and written communication skills.
• Strong analytical and troubleshooting skills.
• Strong initiative and dedicated work ethic.

Favorable Skills and Experience

• Prior internship experience with market research studies or client work.
• Experience with hands-on coding from scratch. (Python, Perl, C, Java, Julia, Scala)
• Experience with predictive modeling and machine learning. (Neural Networks, Clustering, Segmentation, etc.)
• Experience with statistical or scientific computational software like SPSS, SAS, R, or Matlab.
• Experience working effectively with very large datasets.

Additional Information

Sound like the right place for you? Share our passion. Share our success. And join us in being an #IpsosGameChanger.

Please submit a detailed resume that demonstrates you have the experience and abilities we are seeking online by clicking the "Apply" button below. We thank all applicants; however only those short-listed for an interview will be contacted.