Offers “Procter & Gamble”

Expires soon Procter & Gamble

Data Analyst/Engineer

  • Iowa City, USA
  • IT development

Job description

P&G is the largest consumer packaged goods company in the world. We have operations in over 75 countries, with 65 trusted brands that improve lives for 5 billion consumers worldwide. This brings many advantages, including the opportunity for our employees to enjoy a diverse and rewarding lifelong career filled with new and exciting challenges.

We believe great ideas emerge from the creative connections that happen between our talented employees, and we encourage diverse, multi-functional teams to work together to generate new ideas to address challenges we face.

The Data Analyst/Engineer is responsible for the overall design, implementation, and maintenance of systems required for efficient and reliable data processing. This role involves leveraging data analytics tools and digital twin models to extract insights and knowledge from large and complex datasets across the Operations. The Data Analyst/Engineer will utilize various techniques, including statistical analysis, artificial intelligence, machine learning, and data visualization, to support data-driven decision-making processes.

Responsibilities:

· 
Data Pipeline Development: Design, develop, and maintain data pipelines to ensure the efficient and timely flow of data from various sources into the data infrastructure.

· 
Data Integration and Transformation: Perform data integration and transformation tasks to ensure data consistency, quality, and compatibility across different systems and platforms.

· 
Data Analysis and Modeling: Analyze large and complex datasets using statistical techniques, identify trends, patterns, and correlations, and develop models to support decision-making processes.

· 
AI, Machine Learning, and Predictive Modeling: Apply artificial intelligence and machine learning algorithms to develop predictive models that enable proactive decision-making and improve operational efficiency.

· 
Data Visualization and Communication: Create visually appealing and informative data visualizations and reports to effectively communicate insights and findings to stakeholders at all levels of the organization.

· 
Continuous Learning and Skill Development: Stay updated with the latest trends, techniques, and tools in data analytics and continuously enhance skills to ensure the adoption of best practices.

· 
Business Intelligence: Collaborate with business stakeholders to understand their requirements and provide actionable insights through data analysis, enabling informed decision-making and driving business growth.

· 
Collaborative Problem Solving: Work closely with cross-functional teams to identify data-related challenges, propose solutions, and collaborate on implementing data-driven solutions to address business problems.

· 
Data Exploration: Conduct exploratory data analysis to discover hidden patterns, trends, and insights that can add value to the organization's operations and decision-making processes.

· 
Performance Optimization: Identify opportunities for performance improvement in data processing, storage, and retrieval, and implement optimizations to enhance data infrastructure efficiency.

· 
Data Infrastructure and Cloud Technologies: Contribute to the design and development of data infrastructure, leveraging cloud technologies and implementing best practices for data storage, security, and scalability.

Job Qualifications

· 
Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

· 
Strong knowledge of data analysis, data modeling, and statistical techniques.

· 
Proficiency in programming languages such as Python, R, SQL, or similar.

· 
Experience with data visualization tools such as Tableau, Power BI, or similar.

· 
Familiarity with AI and machine learning concepts and frameworks.

· 
Excellent problem-solving and critical-thinking skills.

· 
Strong communication and presentation skills.

· 
Ability to work collaboratively in a team environment.

· 
Experience with cloud platforms (e.g., AWS, Azure, GCP) and related technologies is a plus.

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.

Just So You Know:

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.

All will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, disability status, age, sexual orientation, gender identity and expression, marital status, citizenship, HIV/AIDS status or any other legally protected factor.

Immigration sponsorship is not available for this position, except in rare situations based on Procter & Gamble's sole discretion. Applicants for U.S. based positions are eligible to work in the U.S. without the need for current or future sponsorship. We do not sponsor for permanent residency. Any exceptions are based on the Company's specific business needs at the time and place of recruitment as well as the particular qualifications of the individual.

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.

Job Schedule
Full time

Job Number
R000095809

Job Segmentation
Recent Grads/Entry Level (Job Segmentation)

Starting Pay / Salary Range
$85,000.00 - $115,000.00 / year

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