Enterprise Data Operations Analyst - 397045
PEPSICO INC
Plano, TX
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JOB DETAILS
SALARY
$69,900–$117,000 Per Year
LOCATION
Plano, TX
POSTED
30+ days ago
Overview
This role is focused on working with team of data engineers and/or fullstack development to design, develop, and manage scalable data pipelines and platforms while ensuring data quality, security, and performance. The position requires expertise in Azure Kubernetes Service (AKS), Python, Django, and GraphQL, along with experience in supply chain analytics, data modeling, and business intelligence. Responsibilities include mentoring engineers, collaborating with internal and external stakeholders, optimizing data workflows, and deploying machine learning models. The ideal candidate should have strong problem-solving skills, hands-on experience with structured and unstructured data, and proficiency in BI tools like Power BI and Tableau. This role plays a critical part in driving data adoption, automation, and innovation to support business intelligence and digital transformation initiatives.
Responsibilities
As a member of the data engineering team, you will be the key domain expert overseeing PepsiCo's business process and drive a strong discussion for how Supply Chain, Financial, Consumer, Channel, Category business needs to be defined and prioritize by working very closely with business leads, data science team and data engineering team. You'll develop an in-depth understanding of business processes in and translate business requirements to data engineering team in technical way. This role requires expertise in Azure Kubernetes Service (AKS) for managing and deploying containerized applications, along with strong proficiency in Python for data engineering tasks. Experience with Django is essential for building scalable web applications and APIs, while knowledge of GraphQL is needed for efficient data querying and integration. Additionally, the position demands leadership skills, proficiency in data pipeline management, system integration best practices, data security, and collaboration with data science teams to optimize and deploy models at scale. Strong problem-solving, automation, and monitoring capabilities are also critical for ensuring high-performance data infrastructure.
Compensation and Benefits:
* The expected compensation range for this position is between $69,900 - $117,000.
* Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
* Bonus based on performance and eligibility target payout is 5% of annual salary paid out annually.
* Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
* In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.
Qualifications
* 4+ years of experience with data analysis and data profiling in project, business requirements definition or data engineering in CPG or Manufacturing Industry.
* 3+ years work experience in the areas of Distribution Network Analysis, Manufacturing, Production Network Optimization, Transportation, Demand Planning, or other areas related to Supply Chain or other domains such as Financial, Consumer, Channel, Category etc.
* 3+ years of strong Data Profiling experience and ability to identify trends and anomalies in the data to in-form data model build out.
* Experience in working with Datasets from POS Aggregators such as IRI, Nielsen, Kantar etc.
* Experience working with structured/unstructured datasets, ability to clearly document and communicate requirement to technical team members.
* Experience with Business Intelligence tools, SQLTools.
* Experience with POS Aggregator Datasets such as IRI, Nielsen, Kantar, or si ilar, with a deep understanding of integrating and analyzing external market data for business insights.Proficiency in Python and Django, with experience in developing and maintaining data-driven applications, APIs, and automation frameworks to streamline data workflows.
* 1+ Experience in GraphQL for building and optimizing data query layers, ensuring efficient data retrieval and seamless integration between systems.
* 4+ Expertise in Azure Kubernetes Service (AKS) for managing and deploying containerized applications and scalable data processing pipelines, ensuring high availability and performance.
About the Company
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PEPSICO INC
PepsiCo is a global food and beverage leader operating in more than 200 countries with a product portfolio of 22 world-famous, billion-dollar brands. From Gatorade to Quaker, to LIFEWTR, to Lay’s, we make hundreds of enjoyable foods and beverages that are loved throughout the world.
Our culture is driven by our employees. No two days are the same; we’re dynamic and full of passionate teams embracing new ideas through our collaborative spirit.
A career at PepsiCo is fast-paced – with challenging work comes creativity, innovation, and outstanding opportunities. We’re excited to see what we can accomplish when your skills, ideas, and perspectives meet our dynamic team. At PepsiCo, WHAT MAKES YOU UNIQUE, MAKES US BETTER.
COMPANY SIZE
10,000 employees or moreINDUSTRY
Food and Beverage Production
EMPLOYEE BENEFITS
Flexible Spending Accounts, 401K, Retirement / Pension Plans, Medical, Dental and Vision
WEBSITE
http://www.pepsicojobs.com/en