{"id":103553,"url":"https://alion.io/job/sp-global-sr-analyst-data-integration-workflows","title":"Sr Analyst, Data Integration & Workflows","company":{"id":8679,"name":"S&P Global","domain":"spglobal.com","url":"https://alion.io/company/spglobal","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":39,"ghost_share":0,"stale_share":0.641,"repost_share":0.026,"time_to_fill_p50_days":26,"computed_at":"2026-10-31T05:58:55Z"}},"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":["Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":100000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Alation","optional":true},{"name":"Collibra","optional":true},{"name":"MS SQL","optional":true},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-07-24T00:00:00Z","employer_posted_date":"2026-07-24","last_verified_at":"2026-10-31T04:39:45Z","board_verified":true,"closed_at":null,"days_open":99,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":99},"description":"About the Role:\nGrade Level (for internal use):\n11The Team:\nThe Senior Analyst, Data Integration & Workflows plays a critical role within the Data AI & Enablement organization, serving as a senior technical leader responsible for designing, implementing, and operationalizing production-grade data pipelines and workflow automation that power SPDJI's index and analytical solutions. This role combines hands-on technical expertise with leadership capabilities to drive delivery excellence, mentor technical talent, and ensure all data integration solutions meet enterprise standards for quality, reliability, and maintainability.\n Responsibilities and Impact:\nTechnical Leadership & Solution Delivery\nLead complex data integration initiatives from design through production deployment, ensuring solutions are scalable, observable, and aligned with enterprise architecture standards\nDesign and implement production-grade data pipelines (batch and streaming) that transform raw inputs into trusted curated outputs, incorporating robust error handling, validation, and reconciliation controls\nEstablish and evangelize engineering best practices for ETL/ELT patterns, workflow orchestration, data quality controls, and operational observability across the team and value streams\nDrive technical decision-making for pipeline architecture, technology selection, and design patterns, balancing business requirements with technical feasibility and long-term maintainability\nPartner with PPD on technical planning and feasibility, providing realistic estimates, identifying technical dependencies, and shaping scope to ensure achievable delivery commitments\nEnablement & Co-Development\nLead hands-on enablement with value stream SMEs through pair programming, structured guidance, and co-development sessions-adapting approach based on SME technical capability\nAssess SME technical readiness and recommend appropriate engagement models (SME-led with review, co-development, or led build with validation)\nBuild reusable automation components and templates (frameworks for ingestion, validation, transformation, publishing, backfills) that accelerate consistent delivery across domains\nDevelop SME technical capabilities through targeted coaching, code reviews, and knowledge transfer, fostering a culture of engineering excellence and continuous learning\nCreate and maintain technical documentation, including reference architectures, design patterns, coding standards, and implementation guides\nQuality Assurance & Production Readiness\nConduct comprehensive code reviews for SME-built and team-developed pipelines, ensuring adherence to standards for maintainability, testing, logging, data validation, and documentation\nImplement data reliability controls including validation rules, reconciliation checks, anomaly detection, and completeness/timeliness monitoring that protect downstream index processes\nEngineer observability and monitoring solutions by implementing logging standards, metrics, alerts, and runbooks that enable effective production support\nPrepare IT-ready handover artifacts including technical documentation, test evidence, operational procedures, and clear support boundaries\nPartner with IT during QA and deployment, resolving issues quickly and ensuring solutions meet enterprise standards for security, supportability, and operational excellence\nOperational Excellence & Continuous Improvement\nProvide L3 support for production business-logic issues, collaborating with value stream SMEs to drive root-cause analysis and implement permanent fixes for recurring failures\nOptimize pipeline performance and cost through appropriate partitioning strategies, caching, incremental processing patterns, and compute resource tuning\nImplement workflow orchestration patterns (scheduling, dependency management, retries, idempotency, parameterization) ensuring pipelines are resilient to upstream variability\nCapture and share lessons learned, updating engineering playbooks, patterns, and standards based on production outcomes and emerging best practices\nMonitor operational metrics related to pipeline reliability, data quality, performance, and cost efficiency; drive continuous improvement initiatives\nCollaboration & Stakeholder Management\nCollaborate with Data Integration Lead to shape team strategy, prioritize initiatives, and align technical approaches with organizational goals\nPartner effectively with AI Solutions and Data Governance teams on cross-cutting concerns including data quality standards, AI pipeline requirements, and compliance\nEngage with Data Value Streams to understand business requirements, validate technical solutions, and ensure alignment with domain expertise\nWork with Data Services & Strategy teams (Vendor Governance, Catalog) to establish scalable integration patterns and ensure proper metadata and lineage tracking\nBuild strong relationships with IT and PPD teams to ensure infrastructure readiness, smooth deployments, and operational excellence\nShared Accountabilities\nWith Data Integration Lead: Execute on team strategy; provide technical leadership on complex initiatives; mentor junior team members; contribute to standards and capability development\nWith PPD: Collaborate on technical feasibility assessments and planning; provide realistic estimates; align integration efforts with platform capabilities and roadmap\nWith IT: Ensure infrastructure readiness; coordinate handover processes; support production gateway requirements; partner on operational excellence\nWith Data Value Streams: Co-develop solutions with SMEs; validate business logic alignment; assess and develop SME technical capabilities\nWith Data Services & Strategy: Establish scalable integration patterns; ensure proper metadata and lineage tracking; align with vendor governance requirements\nWith AI Solutions & Data Governance: Coordinate on data quality standards, AI data pipeline requirements, and governance compliance\nOwnership\nComplex Technical Initiatives: Own the end-to-end delivery of high-complexity data integration and workflow automation projects\nEngineering Standards Implementation: Responsible for implementing and enforcing technical standards, patterns, and best practices within assigned domain or value streams\nSME Technical Development: Own the hands-on enablement and capability development of assigned value stream SMEs in data engineering practices\nProduction Solution Quality: Accountable for ensuring all solutions meet production readiness criteria before IT handover\nParameters for Success\nDeliver Production-Ready Solutions: Consistently deliver high-quality, production-ready data pipelines that meet business requirements and enterprise standards\nBuild SME Capability: Demonstrably improve technical capabilities of value stream SMEs through effective enablement and mentorship\nDrive Reusability: Create and promote adoption of reusable components and standardized patterns that accelerate delivery\nEnsure Operational Excellence: Implement robust observability, monitoring, and support frameworks that minimize production incidents and enable rapid issue resolution\nFoster Technical Excellence: Contribute to a culture of craftsmanship, continuous improvement, and engineering best practices\nKey Performance Indicators (KPIs)\nSolution Delivery Quality: Percentage of delivered pipelines that pass IT QA on first submission; production incident rate for delivered solutions\nSME Capability Development: Measurable improvement in technical skills of mentored SMEs through assessments, code review quality progression, and feedback\nOperational Reliability: Pipeline uptime and reliability metrics; mean time to resolution for production issues; data quality incident rates\nWhat We’re Looking For:\nBasic Required Qualifications:\nExperience\n8+ years of experience in data engineering, data integration, or related technical roles with progressive responsibility\n3+ years of experience in technical leadership roles, including mentoring engineers and leading complex technical initiatives\nProven track record of designing and implementing production data pipelines in complex enterprise environments\nExperience in financial services, index management, or similar data-intensive industries preferred\nTechnical Expertise\nProficiency in ETL/ELT design patterns, data pipeline architecture, and workflow orchestration frameworks\nAdvanced programming skills in languages commonly used in data engineering (Python, SQL, Scala, or similar)\nSolid understanding of data quality frameworks, data validation techniques, reconciliation patterns, and anomaly detection\nExperience implementing observability, monitoring, and alerting systems for production data pipelines\nFamiliarity with data governance principles, metadata management, and compliance frameworks\nLeadership & Soft Skills\nStrong technical leadership with demonstrated ability to lead complex initiatives and influence technical direction\nExcellent mentorship and coaching abilities, with track record of developing technical talent and improving team capabilities\nOutstanding collaboration skills with ability to partner effectively across technical and business teams in a matrixed organization\nClear communication abilities, able to articulate complex technical concepts to varied audiences and translate business requirements into technical solutions\nProblem-solving mindset with focus on root-cause analysis, sustainable solutions, and continuous improvement\nAdaptability and pragmatism in selecting appropriate engagement models based on SME capability and project requirements\nStrong stakeholder management skills with ability to manage expectations and deliver on commitments\nPreferred Qualifications:\nBachelor's degree in Computer Science, Engineering, Information Systems, or related field; Master's degree preferred\nExperience with index calculation processes, financial data workflows, or SPDJI products and methodologies\nCertification in Python or SQL Development (e.g., Python Institute, Microsoft SQL certifications)\nExperience with Agile/Scrum methodologies and product-oriented delivery models\nKnowledge of data lineage, metadata management, and data cataloging tools (e.g., Collibra, Alation, DataHub)\nExperience with AI/ML data pipeline requirements and integration patterns\nWe require all external candidates who reach the final stage of our interview process to attend at least one in-person interview, which is ordinarily at your nearest S&P Global office. This must be completed before we can proceed to an offer.\nAbout S&P GlobalDow Jones Indices\nAt S&P Dow Jones Indices, we provideiconic and innovative index solutions backed by unparalleled expertiseacross the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We’rethe largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500®and the Dow Jones Industrial Average®. More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfoliosand developing investment strategies.\nS&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodityand automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit www.spglobal.com/spdji.\nWhat’s In It For You?\nOur Mission: \nAdvancing Essential Intelligence.\nOur People:\nWe're more than 35,000 strong worldwide-so we're able to understand nuances while havi...","description_format":"text","description_chars":16288,"description_truncated":true,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Retirement plans","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Credit Bureaus & Rating Agencies","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-07-24T00:00:00Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.321,"p_room":0.28,"age_days":99,"expected_fill_days":26,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/sp-global-sr-analyst-data-integration-workflows","json_url":"https://alion.io/job/sp-global-sr-analyst-data-integration-workflows.json","meta":{"generated_at":"2026-10-31T08:04:06Z","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":12040,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":8679},"rest":"https://alion.io/mcp/rest/get_company?id=8679"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsp-global-sr-analyst-data-integration-workflows"},{"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%2Fsp-global-sr-analyst-data-integration-workflows"},{"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%2Fsp-global-sr-analyst-data-integration-workflows"},{"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/sp-global-sr-analyst-data-integration-workflows\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsp-global-sr-analyst-data-integration-workflows"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":103553}},{"tool":"search_jobs","arguments":{"company":"spglobal.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":103553},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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