Senior Data Operations & Analytics Engineer

The Campbell's Company; Camden (NJ); On-site; USD 101,000 - 139,000; Full time

Benefits offered by this job

Medical & dental coverage

401(k) matching in place

Paid time off & holidays

On-site fitness center

On-site daycare on-site store

Job summary

Campbell's is seeking a Senior Analyst – Application Operations to join the Data Analytics and AI Operations team. You will operate, monitor, troubleshoot, and improve enterprise data platforms, delivering reliable data pipelines and trusted analytics across the organization.

You will leverage Databricks, Snowflake, Azure Data Factory, Informatica, Python, SQL, MicroStrategy and Power BI to enable AI and data-driven decision making.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Business Analytics, or a related technical field.
• 5+ years hands-on experience in data engineering and data analytics.
• Strong SQL skills for data analysis, troubleshooting, validation, reconciliation, and root cause analysis.
• Hands-on experience with Databricks and Snowflake.
• Experience with ADF, Informatica, ADLS, or similar cloud data technologies.
• Hands-on Python 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, 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.

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.

Skills

SQL

Python

Databricks

Snowflake

Power BI

MicroStrategy

ETL/ELT

Data Analytics

Data Governance

AI/ML basics

Education

Bachelor's degree in CS/IS/Analytics

Tools

Databricks

Snowflake

Azure

Informatica

Power BI

MicroStrategy

Job description

Campbell's is seeking a Senior Analyst – Application Operations to join the Data Analytics and AI Operations team. You will operate, monitor, troubleshoot, and improve enterprise data platforms, delivering reliable data pipelines and trusted analytics across the organization.

You will leverage Databricks, Snowflake, Azure Data Factory, Informatica, Python, SQL, MicroStrategy and Power BI to enable AI and data-driven decision making.