BI Software Engineer

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Job Description

Join our dynamic Global Product Stewardship (GPS) team at P&G, where your passion for data and innovation will drive meaningful change in resolving regulatory, environmental, and product safety challenges. In this pivotal role, you will leverage your expertise in SQL, Python, and Power BI to automate processes and develop cutting-edge solutions that enhance productivity and value across the organization, and enable data-driven decision-making.  Our collaborative environment fosters creativity and problem-solving, enabling us to transform complex challenges into effective, scalable solutions that make a positive impact on our consumers. You will collaborate with talented professionals from diverse backgrounds, tackle critical regulatory challenges, and help shape the future of our sustainability efforts. If you're ready to make an impact in a supportive environment that values continuous learning and growth, we encourage you to apply.

As a BI Software Engineer who will be tasked to:

• Solve regulatory, safety, and environmental data-centered challenges via design, implementation, and maintenance of our internal BI solutions and their integration with other data sources. 
• Work closely with data engineers and scientists to design and implement solutions tailored for P&G’s Global Product Stewardship. 
• Set up and manage BI environments, UI/UX, UATs, testing data accuracy, and setting up cloud resources. 
• Upskill the organizational digital capabilities by identifying process simplification opportunities and conduct trainings. 

Job Qualifications

Required

• Bachelor's degree in computer science or a similar degree.
• High proficiency in SQL and Python.
• Experience in data visualization techniques and tools, including developing Power BI reports and dashboards.
• Experience in GitHub and collaborative coding environments.
• A firm understanding of relational databases. Familiarity with database technologies, data warehousing, and ETL processes. Ability to utilize data pipelines, and data systems to support data analysis and machine learning workflows.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Apache Spark).
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work effectively in diverse, multidisciplinary teams.
• Ability to work independently and manage multiple tasks effectively.

Preferred Qualifications

• Familiarity with server-side web frameworks (e.g., Django, Flask, Rails).
• Familiarity with Databricks.
• Understanding of basic level Chemistry and Biology.
   

Pay Range: $89,300- $110,000

Compensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits.  Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process.

We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G, along with other work authorization FAQs, please click HERE.

Procter & Gamble participates in e-verify as required by law.

Qualified individuals will not be disadvantaged based on being unemployed.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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