Data Engineer - Retail Analytics

At Procter & Gamble, we are looking for an experienced, talented, and motivated Data Engineer - Retail Analytics to join our growing team. The successful candidate will play an essential role in providing data-driven insights to improve our retail analytics processes. We are looking for an individual with a passion for data engineering and a commitment to helping us leverage insights from data to drive strategic decisions. The ideal candidate will have a track record of success in developing data engineering solutions that meet business objectives and have experience in data modeling, ETL development, and data warehousing architectures. The successful candidate will possess a blend of technical and analytical skills, with a keen eye for detail and a commitment to excellence. They will be a strong problem solver who is comfortable working with a variety of stakeholders to deliver projects on time, within budget, and with the highest possible quality standards.Qualifications:• Bachelor's degree in Computer Science, Engineering, or a related field• 5+ years of experience in data engineering and/or software engineering• Experience with ETL development, data modeling, and data warehousing architectures• Experience with analytical programming languages such as Python and R• Expertise in SQL and NoSQL databases• Excellent communication, problem-solving, and analytical skills• Ability to work independently and in teams

According to JobzMall, the average salary range for a Data Engineer - Retail Analytics in Cincinnati, OH, USA is $86,000 to $110,000 per year. This is based on the current salaries of similar jobs in the area.

The Procter & Gamble Company is an American multinational consumer goods corporation headquartered in downtown Cincinnati, Ohio, founded in 1837 by English American William Procter and Irish American James Gamble. Procter & Gamble Co. engages in the provision of branded consumer packaged goods to its consumers. It operates through the following segments: Beauty, Hair, and Personal; Grooming; Health Care; Fabric Care and Home Care; and Baby, Feminine and Family Care. The Beauty, Hair, and Personal segment sells skin and personal care products, cosmetics, antiperspirant and deodorant, personal cleansing, hair care and color, and prestige products under the Head & Shoulders, Olay, Pantene, and Wella brands.