Job Description

Job Overview:

Keurig Dr Pepper is seeking a Data Analyst who can work with data to solve defined business problems. The Data Analyst will interpret and analyze moderately complex datasets to provide insights and support data-driven decision making within the organization. This position will work alongside engineers, modelers, and business executives to gather and transform data, conduct statistical analyses, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.

 

If you are a data enthusiast with a desire to leverage analytics to drive strategic decisions and are eager to explore new frontiers with AI—including generative AI techniques—we encourage you to apply and become part of our dynamic, innovative team!

 

What you will do:

As the Data Analyst, you will…

• Discover how data can be used to answer questions, solve problems, and support business decisions.
• Complete the gathering and cleaning processes for data from various sources, ensuring data integrity and quality by adhering to and applying information governance practices.
• Interpret results using a variety of techniques, ranging from simple data aggregation to learning to apply more complex statistical analysis and modeling. Learn and grow skills related to using statistical methods and techniques to identify patterns, trends, correlations, and anomalies, and extract meaningful insights.
• Develop and maintain dashboards, databases, tables, reports, views, and visualizations to communicate data findings effectively.
• Identify KPIs and develop metrics to track and measure business/IT performance.
• Collaborate with data engineers and IT professionals to optimize data collection, storage, and retrieval processes.
• Monitor data quality to identify data issues and propose data cleansing or enhancement solutions.
• Stay updated with industry trends and best practices in data analysis, visualization, and reporting.

Who you are:

• Basic knowledge of data models and structures as well as database design tools and query languages (e.g., Visio, SQL, etc.).
• Basic knowledge of data exploration techniques (binning, pivoting, summarizing, and finding correlations).
• Basic understanding of statistical software (e.g., R, Python, SAS) and analysis techniques and concepts for both descriptive and inferential statistics.
• Demonstrated skills in aggregating, standardizing, interpreting, and modeling data. Identify and resolve inaccurate, corrupt, or irrelevant data from various sources. Identify patterns, understand database design concepts, and participate in short and long-term planning of database projects.
• Demonstrated skills in leveraging tools and techniques to sort through large data sets to identify patterns and relationships that can help solve business problems through data analysis.
• Developing skills in using relational database management system software to create meaningful information by organizing and managing stored data.
• Ability to maintain data accuracy and integrity and have attention to detail.
• Ability to turn data insights into recommendations for stakeholders based on context.
• Ability to see the big picture and make decisions based on strategy and value delivered.

Total Rewards:

• Benefits, subject to election and eligibility: Medical, Dental, Vision, Disability, Paid Time Off (including paid parental leave, vacation, and sick time), 401k with company match, Tuition Reimbursement, and Mileage Reimbursement
• Annual bonus based on performance and eligibility

Requirements:

Minimum Qualifications/Requirements:

• Bachelor’s degree in data science, statistics, mathematics, information science, or related field, or equivalent combination of education and work experience.
• Typically, 3–5 years of experience as a data analyst, data scientist, BI analyst, or related profession.
• Proven experience with programming languages such as SQL, Python, and R for data manipulation and analysis. (preferred)
• Proven experience with data analysis and visualization tools such as Tableau, Power BI, and Excel. (preferred)
• Experience with AI or machine learning techniques—including generative AI frameworks—for data analysis, modeling, or solution development. (preferred)
• Experience working with multiple, diverse technologies in various processing environments.
• Native-level proficiency/fluent in English.

 

Company Overview:

Keurig Dr Pepper (NASDAQ: KDP) is a leading beverage company in North America, with a portfolio of more than 125 owned, licensed and partners brands and powerful distribution capabilities to provide a beverage for every need, anytime, anywhere. We operate with a differentiated business model and world-class brand portfolio, powered by a talented and engaged team that is anchored in our values. We work with big, exciting beverage brands and the #1 single-serve coffee brewing system in North America at KDP, and we have fun doing it!

Together, we have built a leading beverage company in North America offering hot and cold beverages together at scale. Whatever your area of expertise, at KDP you can be a part of a team that’s proud of its brands, partnerships, innovation, and growth. Will you join us?

We strive to be an employer of choice, providing a culture and opportunities that empower our team of ~29,000 employees to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work.

Keurig Dr Pepper is an equal opportunity employer and recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law.

Job Tags

Full time, Temporary work, Work experience placement,

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