416 Best ms solutions Jobs in Madrid (April 2026) - page 4

Finance Manager, AWS SMGS Finance, CMHK

23 hours ago

Madrid

Overview Desplácese hacia abajo para obtener una visión general completa de lo que requerirá este trabajo. ¿Es usted el candidato adecuado para esta oportunidad? AWS China is looking for a Finance Data Manager who sits at the intersection of finance, data science, and AI — someone who can fundamentally transform how our Sales Finance team operates. This isn't a traditional finance role or a traditional data science role. It's a force multiplier position designed to scale team productivity, embed AI into everyday workflows, and elevate our entire organization from reactive reporting to proactive, insight‑driven business partnership. As a catalyst that helps our team move from reporting the news to making the news — building the models, tools, and capabilities that turn our finance organization into a technology‑enabled strategic advisory function. Key job responsibilities * • Design and deploy AI‑driven solutions to automate routine reporting (daily revenue flashes, MBRs, QBRs) and build natural language interfaces for conversational data querying., • Champion finance AI enablement by partnering with the team to explore, adopt, and scale AI tools and advanced analytics capabilities — helping elevate how the entire team works., • Develop forecasting and scenario planning models across China and Hong Kong segments, including customer concentration risk models and competitive intelligence analytics., • Build models to measure and improve sales productivity, translating marketing pipeline to revenue with greater efficiency., • Lead hands‑on training and enablement programs to upskill the broader finance team in AI tools, data modeling techniques, and advanced analytics — turning every analyst into a more strategic contributor., • Identify workflow bottlenecks and implement AI‑powered process optimizations, particularly in approval chains, deal reviews, and cross‑functional coordination., • Support competitive intelligence efforts with real‑time analytical models on competitor pricing and positioning. A day in the life As a Finance Data Manager in AWS Sales Finance, no two days look exactly the same — but every day sits at the intersection of finance, data, and AI. You’ll start mornings analyzing revenue trends across China and Hong Kong segments, refining forecasting models that help leadership anticipate shifts early. Mid‑morning, you’ll collaborate with sales finance analysts to prototype GenAI‑powered reporting workflows — automating manual processes like weekly revenue flashes or building natural language interfaces for conversational data querying. Afternoons may involve joining deal reviews with sales teams, bringing data‑driven insights on customer risk and margin analysis to shape multi‑million dollar credit structures. You’ll also partner with teammates to explore and scale AI tools across the team — not as a formal trainer, but as a hands‑on collaborator helping everyone work smarter. Qualifications * • 5+ years in quantitative finance, data science, math, advanced analytics, or with strong Python/SQL proficiency and experience with GenAI/LLM tools., • 5+ years of building financial and operational reports/data sets that inform business decision‑making experience., • 4+ years of creating process improvements with automation and analysis experience., • 4+ years of applying key financial performance indicators (KPIs) to analyses experience., • 4+ years of solving complex business challenges by delivering accurate and timely financial models, analysis and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience., • MBA, or Six Sigma Black Belt., • Knowledge of SQL/ETL., • Experience working with large‑scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)., • Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results., • Knowledge of Python Pandas and time‑series forecasting packages. Benefits and Location This role will be based in Beijing. xcskxlj This role is central to our 2026 transformation — reshaping how our finance organization thinks, works, and delivers impact, directly influencing executive decisions and new growth initiatives across AWS. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr

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