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Bayer US LLC Business Intelligence Intern in Whippany, New Jersey

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Business Intelligence Intern, are to:

Work with large amounts of data in service of concrete conclusions and actionable insights;
Learn new tools quickly as required by the particular project he/she is working on, with tasks ranging from data processing, analysis, reports visualization and insights presentation development;
Communicate complicated technical topics and nuanced insights to diverse audiences (use cutting edge technology and processes to translate and solve for business questions);
Write data pipelines to convert raw data into aggregated data that can be used as signals (business drivers/ tease out or get to due to's);
Build cutting edge dynamic visualized dashboards that allow users to gain faster, deeper insights into the market and brand to drive sales;
Automate data pipelines by doing ETL in cloud data systems such as Snowflake;
Clean data and build pipelines for assistance with market and brand-level ad-hoc analysis.

WHO YOU ARE

Your success will be driven by your demonstration of our LIFE values. More specifically related to this position, Bayer seeks an incumbent who possesses the following:

Required Qualifications:

Currently pursuing a Master's degree in Management Information Systems, Business Analytics, Information Systems, Data Science, Computer Science, or any other Quantitative discipline;
Strong knowledge of and experience with databases (SQL, etc.);
Database management, reporting and visualization (Tableau etc.);
Communication skills and critical thinking.

Preferred Qualifications:

An interest in, and some exposure to gathering business requirements, and using cutting edge technologies to translate to business solutions;
An interest in, and some exposure to transforming data for analysis, insights, and reporting;
Previous experience or exposure to competitive intelligence such as market and brand performance analysis leveraging syndicated data sources such as IRI, Nielsen etc.;
Some exposure to, one or more of tools and techniques of SQL, Tableau, Alteryx, Natural Language Processing (NLP), ThoughtSpot, Data processing, basic statistical methods, and programming knowledge (Python);
Previous experience in developing and maintaining complex big data analytical solutions;
Previous experience with decision support tools/Statistical Learning;
Previous experience working with cloud-based data and analytics platforms, standard business intelligence dashboards, and data enrichment techniques;
Fluent in MS Office tools.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

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