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American Express
American Express
B2BBanku darbībaFinanses
American Express ir globāls finanšu pakalpojumu uzņēmums, kas darbojas banku pakalpojumu, finansēšanas un uzņēmumu maksājumu jomā. Tā darbība ietver patērētājiem, uzņēmumiem un korporācijām paredzētas kredītkartes, maksājumu un tirgotāju pakalpojumus, krājkontus, noguldījumu sertifikātus un privātos aizdevumus, kā arī atlīdzību un ceļošanas programmas, korporatīvos maksājumu risinājumus, finanšu izglītību, drošības pakalpojumus un karšu lietotāju un tirgotāju atbalstu.
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Vakances uzņēmumā

Manager, Data Engineering

Lead data engineering and portfolio analytics for American Express technology investments. Build dashboards, automation, and insights to inform strategic portfolio decisions.

USAmerikas Savienotās ValstisNYŅujorka
123 000 $ – 215 250 $ / gads
HibrīdiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuDatu inženieris
ETLMākonisPythonSQL

Apraksts

  • Track technology portfolio performance across investments, budgets, staffing, forecasts, delivery timelines, and operational health.
  • Combine and analyze large, varied technology and financial datasets with Python, SQL, APIs, and data pipelines.
  • Create dashboards, Power BI reports, presentations, and tailored analytics for leaders and stakeholders.
  • Work with Portfolio Management, Finance, and Technology teams to assess investment priorities, capacity, budget use, and delivery risks.
  • Recommend data-backed actions to guide portfolio planning and decisions.
  • Apply AI-assisted analytics, machine learning, and automation to improve data classification, forecasting, reporting accuracy, and portfolio processes.
  • Help maintain data validation, reconciliation, lineage, and reporting standards.
  • Turn stakeholder needs across Technology, Product, Finance, and business teams into practical insights and technical solutions.
  • Find ways to simplify reporting, clarify Platform Health, strengthen portfolio governance, and build scalable data solutions.

Prasības

  • Bring substantial experience in data analytics, data engineering, or technology portfolio analytics.
  • Use Python, SQL, JSON, data modeling, ETL/ELT, REST APIs, and large-scale data analysis in practice.
  • Work proficiently with Power BI, Microsoft Fabric, DAX, Power Query, Excel, and PowerPoint.
  • Have developed executive dashboards, automated reports, and portfolio performance visualizations.
  • Have worked with technology investment, financial, or portfolio management data, including IBM Apptio or comparable tools.
  • Understand technology portfolio management, investment planning, budget tracking, financial forecasting, resource capacity, and project delivery performance.
  • Have applied AI/ML, LLM-enabled analytics, predictive modeling, and workflow automation.
  • Know data integration, database management, data quality validation, reporting automation, and data governance practices.
  • Be familiar with Microsoft Power Platform tools such as Power Apps and Power Automate, and with cloud data and analytics environments.
  • Bring strong analytical, problem-solving, communication, and stakeholder management skills.
  • Translate complex data into clear, actionable guidance for leadership.
  • Hold a bachelor's degree in Computer Science, Engineering, Data Analytics, Business Analytics, or equivalent professional experience; an advanced degree is preferred.

Priekšrocības

  • Competitive base pay.
  • Bonus opportunities.
  • A 6% company match on retirement plan contributions.
  • Complimentary financial coaching and financial well-being support.
  • Medical, dental, vision, life insurance, and disability coverage.
  • Flexible hybrid, onsite, or virtual work arrangements based on the role and business needs.
  • More than 20 weeks of paid parental leave for all parents, including leave for pregnancy, adoption, or surrogacy.
  • Complimentary access to onsite wellness centers with nurses and doctors at participating locations.
  • Free, confidential counseling through the Healthy Minds program.
  • Career growth and training opportunities.

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