Business Intelligence Analyst, Finops In Bp

2 giorni fa


Milano, Italia Vendita Al Dettaglio E All'Ingrosso Import-Export A tempo pieno

Business Intelligence Analyst, FinOps IN BPWe're seeking an experienced Business Intelligence Engineer to design, develop, and maintain scalable data solutions that drive business decisions.You'll work closely with business stakeholders, data engineers, and analysts to transform complex data into actionable insights.Data Architecture & DevelopmentDesign and implement data models, ETL processes, and reporting solutionsCreate and maintain scalable data pipelinesDevelop automated reporting systems and dashboardsBusiness PartnershipPartner with business teams to understand reporting requirementsTranslate business needs into technical specificationsProvide technical guidance to junior team membersLead technical discussions with stakeholdersAnalytics & ReportingBuild complex SQL queries and stored proceduresDevelop interactive dashboards using visualization tools (Tableau/PowerBI)Create automated alert systems for business metricsDesign and implement A/B testing frameworksBasic QualificationsBachelor's degree or above in computer science, computer engineering, or related field, or Associate's degree or above2+ years of business intelligence and analytics experienceKnowledge of SQL and VBA at an advanced levelExperience with business intelligence (BI) tools such as Tableau, Quicksight, Power BI and CRM SalesforceExperience with AWS, Azure, or Google Cloud technologyKnowledge of data warehousing and data modelingExperience that includes strong analytical skills, attention to detail, and effective communication abilitiesKnowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developersExperience in project management disciplines including scope, schedule, budget, quality, along with risk and critical path managementCan work proactively and independently, meet deadlines, and deliver on projects and tasksPreferred QualificationsExperience with agile or other program management methodologiesKnowledge of machine learning approaches and algorithmsExperience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.Knowledge of quantitative data analysis and statisticsIndustry-specific knowledge (e.g., retail, finance)Our inclusive culture empowers Amazonians to deliver the best results for our customers.If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information.If the country/region you're applying in isn't listed, please contact your Recruiting Partner.Posted: October 27, **** (Updated 1 day ago)Posted: November 14, **** (Updated 2 days ago)Posted: September 30, **** (Updated 4 days ago)Posted: November 26, **** (Updated 4 days ago)Posted: November 10, **** (Updated 4 days ago)Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.#J-*****-Ljbffr



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