Intern: Marketing Analytics (Summer 2024)

Key Skills

Adobe Analytics, Data Engineering, Data science techniques, Google-Analytics, Leadership Skill, Marketing analytics, Microsoft-Excel, SQL

Job Description

YOUR TASKS AND RESPONSIBILITIES

As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions using the latest agronomic science, data science, engineering, and real-world farming experience. With groundbreaking technologies like Climate FieldView™ and our ForGround regenerative agriculture platform, our team is a part of some of the most important advancements in agriculture. 

The Marketing Analytics intern will contribute to the FieldView™ engagement marketing team success by working with a cross-functional team and actively participate in day-to-day functions. The Marketing Analytics Intern is responsible for conducting data analytics, reporting, and multi-variate and/or A/B testing. The internship will provide hands on exposure and relevant experience for the role of a data specialist within the realm of marketing. This internship will focus on supporting the needs of the team through data centralization and analyzing and interpreting metrics. The Engagement Marketing team focuses on both the customer and product lifecycle. The team works closely to deliver the most relevant messages to the right customers, at the right time.

WHO YOU ARE

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

Required qualifications

• Enrolled in a degreed program in a marketing related field during the duration of the internship program

• SQL & Excel skills (aggregations, joins, CASE statements, CTE’s, math, text, logical, and lookup functions)

• Basic knowledge of digital marketing success metrics and benchmarking

• Experience creating data visualizations, such as bar charts, line charts, and histograms

Preferred qualifications

• Familiarity with analytic tools (Google Analytics, Adobe Analytics, Heap.io)

• Basic statistics knowledge such as descriptive stats, correlation, regression, and hypothesis testing

• Passion for digital marketing industry

• Ability to quickly learn and process information

• Experience with analyzing large sets of data to find insights

• Experience with standardizing/normalizing data from multiple systems to get to a common data set

WHAT WE OFFER

• Meals are provided in addition to our fully stocked kitchen with snacks and beverages

• 1:1 mentoring from a talented and motivated teammate

• Opportunity to work on meaningful projects that have a direct impact on the company

• Exciting company sponsored events, activities, and learning opportunities

• Opportunities to interact with key executives and leadership

YOUR APPLICATION

At Bayer, we strive to build inclusive experiences for candidates and employees alike in which a diverse set of perspectives and voices are represented. If this role sounds exciting to you but your experience doesn’t perfectly align with the job description, we still encourage you to apply. 

We’re proud to be an equal opportunity employer. This means we actively pursue ways to celebrate our differences and don’t discriminate based on race, religion, color, national origin, ethnicity, gender, sex (including pregnancy), protected veteran status, age, disability, sexual orientation, gender identity, gender expression, or any unlawful criterion existing under applicable federal, state, or local laws.

 If you need assistance or an accommodation due to a disability, contact us at DFS_TCC_TALENTOPS@bayer.com.

Learn more about our team and mission: https://www.bayer.com/en/us/careers