{"id":1143294,"url":"https://alion.io/job/campbell-company-of-canada-sr-analyst-application-operations","title":"Sr Analyst, Application Operations","company":{"id":1052724,"name":"Campbell Company of Canada","domain":"campbellsoup.ca","url":"https://alion.io/company/campbellsoup-ca","size_band":"1001-5000","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":17,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Camden, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":101100,"max":139000,"currency":"USD","period":"year","gross":null,"usd_annual":139000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Incident Management","optional":false},{"name":"Informatica","optional":false},{"name":"Machine Learning","optional":false},{"name":"MicroStrategy","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-19T00:00:00Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-09-24T02:46:10Z","board_verified":true,"closed_at":null,"days_open":36,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":36},"description":"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.\nHere, 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.\nWhy Campbell’s…\nBenefits begin on day one and include medical, dental, short and long-term disability, AD&D, and life insurance (for individual, families, and domestic partners).\nEmployees are eligible for our matching 401(k) plan and can enroll on the first day of employment with immediate vesting.\nCampbell’s offers unlimited sick time along with paid time off and holiday pay.\nIf in WHQ - free access to the fitness center. Access to on-site day care (operated by Bright Horizons) and company store.\nGiving back to the communities where our employees work and live is very important to Campbell’s. Our “Campbell’s Cares” program matches employee donations and/or volunteer activity up to $1,500 annually.\nCampbell’s has a variety of Employee Resource Groups (ERGs) to support employees.\nHOW YOU WILL MAKE HISTORY HERE…\nAs 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.\nYou 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.\nWHAT YOU WILL DO…\nPerform hands-on Data Engineering and Data Analytics across enterprise data platforms and solutions.\nBuild, monitor, troubleshoot, and optimize ETL/ELT pipelines, workflows, integrations, and data jobs.\nPerform hands-on SQL and Python data analysis, validation, reconciliation, profiling, and root cause analysis.\nSupport the data pipelines across SAP S/4HANA, SAP Datasphere, SAP SLT, ERP, APIs, cloud applications, and other enterprise systems.\nAnalyze and resolve data quality, pipeline, performance, and integration issues.\nDevelop and support Power BI, MicroStrategy, reports, dashboards, KPIs, metrics, and operational analytics.\nCreate and maintain trusted data products, curated datasets, and semantic layers that support enterprise analytics and AI use cases.\nSupport and maintain curated datasets, semantic layers, data models, and enterprise reporting.\nSupport data administration activities, including access, permissions, user management, job scheduling, environment support, monitoring, and data platform operations.\nDevelop Python/SQL automation to improve efficiency and reduce manual effort.\nMonitor data and platform performance and proactively identify operational risks.\nLead incident investigation, troubleshooting, resolution, and corrective actions.\nMaintain runbooks, SOPs, monitoring standards, and technical documentation.\nDrive data quality, governance, security, lineage, metadata, and compliance practices.\nIdentify opportunities for automation, optimization, reliability, and continuous improvement.\nApply knowledge of AI/ML concepts and data requirements to support emerging analytics and AI initiatives.\nServe as a hands-on technical resource for data and analytics issues.\nWHO YOU WILL WORK WITH…\nData Engineering teams supporting enterprise data platforms, pipelines, integrations, and data products.\nAnalytics and BI teams supporting Power BI, MicroStrategy, reporting, dashboards, and analytics solutions.\nPlatform Engineering and Cloud teams supporting Databricks, Snowflake, Azure, monitoring, and reliability.\nData Science and AI Engineering teams supporting AI, ML, and advanced analytics initiatives.\nBusiness Owners and Product Owners to align data solutions with business priorities and outcomes.\nDigital Partners and Digital Product teams supporting digital solutions, data products, and integrations.\nData Governance, Security, and Compliance teams supporting data quality, standards, lineage, and controls.\nData Architects and Enterprise Architecture teams supporting data strategy and modernization.\nBusiness stakeholders across Supply Chain, Finance, Sales, Marketing, and Corporate Functions.\nWHAT YOU BRING TO THE TABLE… (MUST HAVE)\nBachelor’s degree in Computer Science, Information Systems, Data Engineering, Business Analytics, or a related technical field.\n5+ years of hands-on experience across both Data Engineering and Data Analytics.\nStrong hands-on SQL skills for data analysis, troubleshooting, validation, reconciliation, and root cause analysis.\nHands-on experience building, monitoring, troubleshooting, and optimizing ETL/ELT pipelines Databricks and Snowflake\nStrong experience with Databricks and/or Snowflake, or similar enterprise data platforms.\nExperience with ADF, Informatica, ADLS, or similar cloud data technologies.\nHands-on Python experience for data analysis, automation, and operational solutions.\nHands-on experience with Power BI, MicroStrategy, or similar analytics and reporting platforms.\nStrong understanding of data modeling, data quality, data governance, data lineage, metadata, and data security.\nExperience with production support, incident management, monitoring, and problem resolution.\nStrong troubleshooting, analytical, and problem-solving skills, with the ability to drive issues through resolution.\nWorking knowledge of AI and Machine Learning concepts, including common AI/ML use cases, data requirements, and the ML lifecycle.\nStrong communication and stakeholder-management skills across technical and business teams.\nAbility to work independently, take ownership, prioritize effectively, and deliver hands-on solutions.\nDemonstrated ability to drive automation, reliability, efficiency, and continuous improvement.\nIT WOULD BE GREAT IF YOU HAVE… (NICE TO HAVE)\nExperience 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.\nKnowledge of feature engineering, model monitoring, ML/AI pipelines, or AI platforms.\nKnowledge of SAP S/4HANA, SAP Datasphere, SAP SLT, and SAP data integration.\nExperience in Unity Catalog, data catalogs, lineage, and metadata management.\nExperience in data and platform observability tools.\nCertifications in Databricks, Snowflake, Azure, Informatica, Generative AI, or Agentic AI or related is preferred.\nPREFERRED TECHNICAL SKILLS\nData Engineering: Databricks\nSnowflake\nPySpark\nPython\nSQL\nADF\nInformatica\nADLS\nETL/ELT\nData Modeling\nData Analytics & Operations: Data Analytics\nData Operations\nPower BI\nMicroStrategy\nReporting\nDashboards\nKPIs\nProduction Support\nMonitoring\nIncident Management\nRoot Cause Analysis\nData Governance & Quality: Data Quality\nData Validation\nData Reconciliation\nData Profiling\nData Governance\nData Lineage\nMetadata\nData Security\nData Administration Knowledge: Platform Administration\nAccess & Permissions\nUser Management\nJob Scheduling\nEnvironment Management\nData Monitoring\nAutomation: Python/SQL Automation\nGit\nCI/CD\nDevOps\nAI & ML Knowledge: AI/ML Fundamentals\nML Lifecycle\nFeature Engineering\nModel Monitoring\nGenerative AI\nMLOps\nCompensation and Benefits:\nThe target base salary range for this full-time, salaried position is between\n$101,100-$139,000Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.\nThe Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.","description_format":"text","description_chars":8930,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Grains, Cereals & Pasta"],"lifecycle":[{"event":"open","at":"2026-09-23T13:28:13Z"}],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.46,"p_room":0.55,"age_days":36,"expected_fill_days":27,"reasons":["conf:2","stale_co","win:tail","comp:brand"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":139000,"is_top_pay":true},"html_url":"https://alion.io/job/campbell-company-of-canada-sr-analyst-application-operations","json_url":"https://alion.io/job/campbell-company-of-canada-sr-analyst-application-operations.json","meta":{"generated_at":"2026-09-24T19:34:41Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}