2 дня назад
Senior Data Analyst (Data Science)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (Data Science): Building scalable data products and analytics solutions for US and global marketing businesses with an accent on data preparation, modeling, visualization, and platform operations. Focus on translating stakeholder needs into system enhancements, managing agile releases and UAT, and analyzing financial accruals, invoices, and vendor spend.
Location: Remote/Homebased in Conway, Arkansas, United States
Company
provides data services and marketing technology for identity resolution, audience segmentation, and people-based marketing.
What you will do
- Identify insights, define modeling requirements, test hypotheses, prepare and automate data, build models, and visualize results.
- Support active MRM users, resolve system and process questions, and provide user access.
- Collaborate with stakeholders and cross-functional teams to define requirements, write user stories, and implement system enhancements with IT through an iterative agile process.
- Manage technology releases in JIRA, including prioritization and enhancement grooming.
- Plan and complete UAT and production validation by writing and executing test scripts.
- Manage accruals, invoice processing, reclassing, project codes, vendor spend, and financial accuracy reports.
Requirements
- 5+ years of experience, including financial analysis and technology project management.
- Bachelor’s degree.
- Presentation, negotiation, influencing, and stakeholder management skills.
- Strong attention to detail, urgency, and curiosity.
- Experience or background in reengineering or finance is preferred.
- Must have U.S. work authorization that does not now or in the future require visa sponsorship.
Nice to have
- Knowledge of deep learning and neural network modeling frameworks.
- Experience in the financial services industry.
- Familiarity with AWS, Google Cloud Platform, Azure, or other cloud environments.
Culture & Benefits
- Remote/homebased work arrangement.
- Collaboration with data sciences, analytics, technology, finance, and business stakeholders.
- Work on scalable data products supporting US and global businesses.
- Equal opportunity employment, including disability and protected veteran status.
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