Sr Analyst, Application Operations

Campbell's•Camden, NJ

4d•$101,100 - $139,000•Onsite

About The Position

Since 1869, we've connected people through food they love. We’re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell’s brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao’s Homemade, Snack Factory, Snyder’s of Hanover. Swanson, and V8. Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us. As a Senior Analyst – Application Operations, you will be a hands-on member of the Data Analytics and AI Operations team, responsible for operating, monitoring, troubleshooting, and continuously improving enterprise data and analytics platforms. You will bring strong Data Engineering and Data Analytics experience to ensure reliable data pipelines, high-quality data, actionable insights, and trusted analytics. You will leverage industry-leading technologies including Databricks, Snowflake, Azure Data Factory (ADF), Informatica, Python, SQL, MicroStrategy and Power BI to deliver scalable, secure, and high-performing data solutions. Your work will help drive digital transformation, enable AI innovation, and ensure trusted data is available to stakeholders across the enterprise. You will also apply working knowledge of AI and Machine Learning to support evolving data, analytics, and AI capabilities. The technologies and responsibilities listed below are not limited to those specifically identified.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Business Analytics, or a related technical field.
5+ years of hands-on experience across both Data Engineering and Data Analytics.
Strong hands-on SQL skills for data analysis, troubleshooting, validation, reconciliation, and root cause analysis.
Hands-on experience building, monitoring, troubleshooting, and optimizing ETL/ELT pipelines Databricks and Snowflake
Strong experience with Databricks and/or Snowflake, or similar enterprise data platforms.
Experience with ADF, Informatica, ADLS, or similar cloud data technologies.
Hands-on Python experience for data analysis, automation, and operational solutions.
Hands-on experience with Power BI, MicroStrategy, or similar analytics and reporting platforms.
Strong understanding of data modeling, data quality, data governance, data lineage, metadata, and data security.
Experience with production support, incident management, monitoring, and problem resolution.
Strong troubleshooting, analytical, and problem-solving skills, with the ability to drive issues through resolution.
Working knowledge of AI and Machine Learning concepts, including common AI/ML use cases, data requirements, and the ML lifecycle.
Strong communication and stakeholder-management skills across technical and business teams.
Ability to work independently, take ownership, prioritize effectively, and deliver hands-on solutions.
Demonstrated ability to drive automation, reliability, efficiency, and continuous improvement.

Nice To Haves

Experience in MLOps, AI Operations, Generative AI, or Agentic AI to enable Machine Learning, Generative AI, and Agentic AI initiatives through scalable, governed, and high-quality data solutions.
Knowledge of feature engineering, model monitoring, ML/AI pipelines, or AI platforms.
Knowledge of SAP S/4HANA, SAP Datasphere, SAP SLT, and SAP data integration.
Experience in Unity Catalog, data catalogs, lineage, and metadata management.
Experience in data and platform observability tools.
Certifications in Databricks, Snowflake, Azure, Informatica, Generative AI, or Agentic AI or related is preferred.

Responsibilities

Perform hands-on Data Engineering and Data Analytics across enterprise data platforms and solutions.
Build, monitor, troubleshoot, and optimize ETL/ELT pipelines, workflows, integrations, and data jobs.
Perform hands-on SQL and Python data analysis, validation, reconciliation, profiling, and root cause analysis.
Support the data pipelines across SAP S/4HANA, SAP Datasphere, SAP SLT, ERP, APIs, cloud applications, and other enterprise systems.
Analyze and resolve data quality, pipeline, performance, and integration issues.
Develop and support Power BI, MicroStrategy, reports, dashboards, KPIs, metrics, and operational analytics.
Create and maintain trusted data products, curated datasets, and semantic layers that support enterprise analytics and AI use cases.
Support and maintain curated datasets, semantic layers, data models, and enterprise reporting.
Support data administration activities, including access, permissions, user management, job scheduling, environment support, monitoring, and data platform operations.
Develop Python/SQL automation to improve efficiency and reduce manual effort.
Monitor data and platform performance and proactively identify operational risks.
Lead incident investigation, troubleshooting, resolution, and corrective actions.
Maintain runbooks, SOPs, monitoring standards, and technical documentation.
Drive data quality, governance, security, lineage, metadata, and compliance practices.
Identify opportunities for automation, optimization, reliability, and continuous improvement.
Apply knowledge of AI/ML concepts and data requirements to support emerging analytics and AI initiatives.
Serve as a hands-on technical resource for data and analytics issues.

Benefits

medical
dental
short and long-term disability
AD&D
life insurance (for individual, families, and domestic partners)
matching 401(k) plan
unlimited sick time
paid time off
holiday pay
free access to the fitness center (if in WHQ)
access to on-site day care (operated by Bright Horizons)
company store
Campbell’s Cares program matches employee donations and/or volunteer activity up to $1,500 annually
Employee Resource Groups (ERGs)