1 день назад
Senior Business Information Management Analyst (US) (Data Analytics)
72 280 - 117 520$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Business Information Management Analyst (Data Analytics): Developing and supporting business data management solutions, repositories, warehouses, data marts, ETL processes, and data preparation frameworks with an accent on data governance, quality, modeling, and complex data integration. Focus on profiling large datasets, resolving root causes of data issues, supporting regulatory compliance, and designing trusted data solutions for Credit Risk programs.
Location: Mount Laurel, New Jersey, United States; occasional domestic travel.
Salary: $72,280–$117,520 USD annually
Company
TD is a large North American financial institution providing banking products and services to households and businesses in Canada, the United States, and other markets.
What you will do
- Lead analysis, design, development, and support of business data management solutions across data and analytics projects.
- Develop data repositories, warehouses, marts, data models, data movement, data wrangling, mapping, and ETL processes.
- Build data preparation frameworks and architecture for data science and analytics consumption.
- Establish and improve data ownership, governance, lineage, metadata, lifecycle management, and data quality practices across Credit Risk programs.
- Profile data, investigate root causes of data issues, resolve defects, and support business users in interpreting data and reporting solutions.
- Partner with Data Owners, Data Stewards, technology teams, project teams, and business stakeholders on requirements, risk mitigation, regulatory compliance, and solution delivery.
Requirements
- Undergraduate degree or technical certificate.
- 5+ years of relevant experience in business administration, statistics, mathematics, science, finance, or a related field.
- Expert knowledge of business information management, data sources, analytical methods, reporting techniques, and data platforms.
- Experience working with very large datasets and familiarity with big data technologies and visualization tools.
- Advanced analytical, problem-solving, communication, prioritization, and judgment skills.
- Ability to work independently and collaboratively, mentor others, and handle confidential information with discretion.
Nice to have
- Reporting background.
- Coding experience.
- SQL experience.
Culture & Benefits
- Health and well-being benefits, savings and retirement programs, paid time off, banking benefits, and discounts.
- Career development through regular development conversations, training, mentoring, and online learning.
- Training and onboarding sessions are provided.
- Respectful and inclusive workplace with a focus on teamwork, innovation, and professional growth.
Hiring process
- Selected candidates are contacted to schedule an interview.
- Application outcomes are communicated by email or phone when possible.
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