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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

Business Analyst, Data Analytics

Analyze American Express digital advertising and Offers data to develop strategic insights. Use Python, SQL, Hive, and PySpark to support audience growth and merchant engagement.

INIndijaHibrīdiPilna slodzeJaunākais speciālistsNepieciešamā Valoda: angļuDatu analītiķis
PySparkPythonSQL

Apraksts

  • Use analytics to help Amex Offers Marketing increase offer redemption and improve merchant and customer satisfaction.
  • Lead consultative analytics projects focused on audience growth and strategies for the industry and Amex Offers.
  • Use closed-loop data from the Amex network to develop relevant, actionable insights.
  • Collaborate with partners across regions and business units.
  • Turn open-ended requests into analytical plans and practical recommendations.
  • Handle multiple requests on short timelines.
  • Develop what-if scenarios to address partners’ business challenges.
  • Offer alternative solutions based on timing and available data.
  • Align work with enterprise priorities while balancing the needs of customers, partners, colleagues, and shareholders.
  • Question existing approaches and pursue ongoing innovation.
  • Make timely decisions with integrity.
  • Apply a digital mindset to customer experiences.

Prasības

  • Bring 1–3 years of relevant experience in analytics or data science.
  • Hold a bachelor’s degree in statistics, mathematics, economics, or engineering, with relevant experience.
  • Merchant or consumer business experience is preferred.
  • A postgraduate qualification in management, statistics, mathematics, economics, or engineering is preferred.
  • Experience with analytics, insight generation, and targeting.
  • Proficiency in Python, SQL, Hive, and PySpark.
  • Knowledge of advanced statistical methods.
  • Advanced Excel skills.
  • Data science experience.
  • Successfully complete a background check, as permitted by applicable law.

Priekšrocības

  • Competitive base salary.
  • Bonus incentives.
  • Financial wellness and retirement support.
  • Medical, dental, vision, life insurance, and disability coverage, depending on location.
  • Flexible hybrid, onsite, or virtual work arrangements based on the role and business needs.
  • Paid parental leave, depending on location.
  • Complimentary access to on-site wellness centers staffed by nurses and doctors, where available.
  • Free, confidential counseling through the Healthy Minds program.
  • Career development and training opportunities.

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