{"id":2241311,"url":"https://alion.io/job/nestle-it-adi-analyst","title":"IT ADI Analyst","company":{"id":447067,"name":"Nestlé","domain":"nestle.com","url":"https://alion.io/company/nestle-7","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Petaling Jaya, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14000,"max_usd":32000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2647},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-04T02:00:00Z","employer_posted_date":"2026-10-04","last_verified_at":"2026-10-12T03:48:24Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Position Snapshot\nLocation: Petaling Jaya, Malaysia\nCompany: Nestlé Malaysia & Singapore\nFull-time\nBachelor's Degree\n5+ years of experience\nPosition Summary\nJoining Nestlé means you are joining the largest Food and Beverage Company in the world. At our very core, we are a human environment - passionate people driven by the purpose of enhancing the quality of life and contributing to a healthier future.\nWe are looking for an IT ADI Analyst with reliability, governance and AI readiness of our MYSG data foundations. The role will design and operate secure, scalable and reusable cloud data solutions, pipelines and data products, while enabling trusted data capabilities for analytics, automation, machine learning and GenAI.\nYou will work closely with business stakeholders, regional and enterprise data teams to translate complex business requirements into scalable technical solutions, while ensuring strong governance, security, quality and operational reliability.\nA Day in the Life of an IT ADI Analyst\nCloud Data Engineering & Data Product Leadership\nDesign, build and optimise scalable cloud-based data ingestion, transformation, harmonisation and serving pipelines across enterprise and local data sources.\n\nDesign and manage modern cloud data solutions using Snowflake, Microsoft Azure, Azure Data Factory, Azure data services and Databricks.\n\nDevelop reusable, well-documented and business-ready data products following a reuse-first approach.\n\nDefine data models, interfaces, metadata, lineage, retention and lifecycle controls.\n\nLead technical design, code reviews, testing and release quality for complex data initiatives.\n\nSupport strategic MYSG capabilities and analytics, automation and AI use cases.\n\nCloud Platform Reliability & Cost Optimisation\nOwn the technical health, availability and performance of MYSG cloud data services.\n\nApply cloud architecture practices covering scalability, resilience, security, performance and recoverability.\n\nImplement monitoring, alerting, data quality rules, anomaly detection and root-cause management.\n\nApply DataOps, DevOps and CI/CD practices to improve deployment and operational efficiency.\n\nOptimise Snowflake workloads, cloud capacity, storage and compute consumption.\n\nAutomate repeatable operations and reduce manual support effort and technical debt.\n\nSecurity, Compliance & Data Governance\nEnsure data solutions comply with Nestlé's security, privacy, architecture and data governance requirements.\n\nImplement role-based access, audit logging, monitoring, segregation of duties and controlled release practices.\n\nPartner with Data Owners, Business Stewards and Data Stewards to establish data quality rules, ownership and certification.\n\nMaintain audit readiness and drive timely remediation of identified risks and findings.\n\nEnsure data access is properly governed while preventing duplication and unmanaged data silos.\n\nStakeholder Management & AI Readiness\nAct as a key technical liaison between ADI and business stakeholders, building strong and trusted working relationships.\n\nUnderstand business objectives, pain points and data requirements and translate them into scalable technical solutions.\n\nCommunicate technical concepts, trade-offs, risks, dependencies, costs and delivery implications in clear business language.\n\nPrepare trusted, discoverable and machine-consumable datasets for advanced analytics, machine learning, GenAI and agentic solutions.\n\nPartner with Commercial, Finance, Supply Chain, Technical & Production, MDO, regional ADI and enterprise data teams.\n\nMentor ADI colleagues, conduct peer reviews and share modern engineering practices.\n\nSupplier & Strategic Partner Management\nCoordinate technology partners and vendors involved in platform, integration, data or security initiatives.\n\nDefine technical acceptance criteria and ensure delivery quality, documentation, supportability and knowledge transfer.\n\nIdentify and escalate delivery, performance, compliance and commercial risks through the appropriate governance channels.\n\nWhat Will Make You Successful\nBachelor's degree in Computer Science, Information Technology, Data Engineering or a related discipline, or equivalent experience.\n\nStrong hands-on experience delivering enterprise-scale cloud data engineering or data platform solutions.\n\nPractical experience with modern cloud data management platforms, preferably Snowflake and Microsoft Azure.\n\nStrong expertise in Snowflake, including data modelling, workload design, performance optimisation, access management and cost-conscious use of compute and storage.\n\nStrong working knowledge of Microsoft Azure data services, including Azure Data Factory and Azure data storage. Experience with Databricks and Microsoft Fabric is an advantage.\n\nStrong technical knowledge of SQL, ETL/ELT, APIs, integration patterns and enterprise data modelling.\n\nExperience with Enterprise Data Domains, data products, metadata, lineage, cataloguing, data quality and observability.\n\nUnderstanding of AI-ready data architecture, semantic models and ML/GenAI data requirements.\n\nExperience with DataOps, DevOps, CI/CD, testing, release management and operational readiness.\n\nWorking knowledge of security, privacy, RBAC, audit controls and segregation of duties.\n\nStrong stakeholder management and business partnering skills, with the ability to translate between business needs and technical solutions.\n\nExperience working across a complex, multi-market and virtual environment.\n\nDemonstrated experience in mentoring, peer review, technical standards and knowledge sharing.\n\nRelevant cloud, Snowflake, Microsoft Azure, data engineering or platform certification is preferred.\n\nKnowledge of the MYSG commercial and operational data landscape is an advantage.\n\nPosition Snapshot\nLocation: Petaling Jaya, Malaysia\nCompany: Nestlé Malaysia & Singapore\nFull-time\nBachelor's Degree\n5+ years of experience\nPosition Summary\nJoining Nestlé means you are joining the largest Food and Beverage Company in the world. At our very core, we are a human environment - passionate people driven by the purpose of enhancing the quality of life and contributing to a healthier future.\nWe are looking for an IT ADI Analyst with reliability, governance and AI readiness of our MYSG data foundations. The role will design and operate secure, scalable and reusable cloud data solutions, pipelines and data products, while enabling trusted data capabilities for analytics, automation, machine learning and GenAI.\nYou will work closely with business stakeholders, regional and enterprise data teams to translate complex business requirements into scalable technical solutions, while ensuring strong governance, security, quality and operational reliability.\nA Day in the Life of an IT ADI Analyst\nCloud Data Engineering & Data Product Leadership\nDesign, build and optimise scalable cloud-based data ingestion, transformation, harmonisation and serving pipelines across enterprise and local data sources.\n\nDesign and manage modern cloud data solutions using Snowflake, Microsoft Azure, Azure Data Factory, Azure data services and Databricks.\n\nDevelop reusable, well-documented and business-ready data products following a reuse-first approach.\n\nDefine data models, interfaces, metadata, lineage, retention and lifecycle controls.\n\nLead technical design, code reviews, testing and release quality for complex data initiatives.\n\nSupport strategic MYSG capabilities and analytics, automation and AI use cases.\n\nCloud Platform Reliability & Cost Optimisation\nOwn the technical health, availability and performance of MYSG cloud data services.\n\nApply cloud architecture practices covering scalability, resilience, security, performance and recoverability.\n\nImplement monitoring, alerting, data quality rules, anomaly detection and root-cause management.\n\nApply DataOps, DevOps and CI/CD practices to improve deployment and operational efficiency.\n\nOptimise Snowflake workloads, cloud capacity, storage and compute consumption.\n\nAutomate repeatable operations and reduce manual support effort and technical debt.\n\nSecurity, Compliance & Data Governance\nEnsure data solutions comply with Nestlé's security, privacy, architecture and data governance requirements.\n\nImplement role-based access, audit logging, monitoring, segregation of duties and controlled release practices.\n\nPartner with Data Owners, Business Stewards and Data Stewards to establish data quality rules, ownership and certification.\n\nMaintain audit readiness and drive timely remediation of identified risks and findings.\n\nEnsure data access is properly governed while preventing duplication and unmanaged data silos.\n\nStakeholder Management & AI Readiness\nAct as a key technical liaison between ADI and business stakeholders, building strong and trusted working relationships.\n\nUnderstand business objectives, pain points and data requirements and translate them into scalable technical solutions.\n\nCommunicate technical concepts, trade-offs, risks, dependencies, costs and delivery implications in clear business language.\n\nPrepare trusted, discoverable and machine-consumable datasets for advanced analytics, machine learning, GenAI and agentic solutions.\n\nPartner with Commercial, Finance, Supply Chain, Technical & Production, MDO, regional ADI and enterprise data teams.\n\nMentor ADI colleagues, conduct peer reviews and share modern engineering practices.\n\nSupplier & Strategic Partner Management\nCoordinate technology partners and vendors involved in platform, integration, data or security initiatives.\n\nDefine technical acceptance criteria and ensure delivery quality, documentation, supportability and knowledge transfer.\n\nIdentify and escalate delivery, performance, compliance and commercial risks through the appropriate governance channels.\n\nWhat Will Make You Successful\nBachelor's degree in Computer Science, Information Technology, Data Engineering or a related discipline, or equivalent experience.\n\nStrong hands-on experience delivering enterprise-scale cloud data engineering or data platform solutions.\n\nPractical experience with modern cloud data management platforms, preferably Snowflake and Microsoft Azure.\n\nStrong expertise in Snowflake, including data modelling, workload design, performance optimisation, access management and cost-conscious use of compute and storage.\n\nStrong working knowledge of Microsoft Azure data services, including Azure Data Factory and Azure data storage. Experience with Databricks and Microsoft Fabric is an advantage.\n\nStrong technical knowledge of SQL, ETL/ELT, APIs, integration patterns and enterprise data modelling.\n\nExperience with Enterprise Data Domains, data products, metadata, lineage, cataloguing, data quality and observability.\n\nUnderstanding of AI-ready data architecture, semantic models and ML/GenAI data requirements.\n\nExperience with DataOps, DevOps, CI/CD, testing, release management and operational readiness.\n\nWorking knowledge of security, privacy, RBAC, audit controls and segregation of duties.\n\nStrong stakeholder management and business partnering skills, with the ability to translate between business needs and technical solutions.\n\nExperience working across a complex, multi-market and virtual environment.\n\nDemonstrated experience in mentoring, peer review, technical standards and knowledge sharing.\n\nRelevant cloud, Snowflake, Microsoft Azure, data engineering or platform certification is preferred.\n\nKnowledge of the MYSG commercial and operational data landscape is an advantage.","description_format":"text","description_chars":11502,"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":[],"hiring_locations":[{"name":"Malaysia","iso":"MY","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Food & Beverages"],"lifecycle":[{"event":"open","at":"2026-10-11T01:06:22Z"}],"visa":[],"liveness":{"score":74,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.819,"p_room":0.9,"age_days":8,"expected_fill_days":16,"reasons":["conf:3","win:mid","comp:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/nestle-it-adi-analyst","json_url":"https://alion.io/job/nestle-it-adi-analyst.json","meta":{"generated_at":"2026-10-12T12:53:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":20123,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":447067},"rest":"https://alion.io/mcp/rest/get_company?id=447067"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnestle-it-adi-analyst"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnestle-it-adi-analyst"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnestle-it-adi-analyst"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nestle-it-adi-analyst\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnestle-it-adi-analyst"}]}