7 дней назад
Senior Data Analyst (Fintech)
95 000 - 155 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (Fintech): Leading end-to-end data analysis and developing data products for banking use cases with an accent on data governance, data quality, requirements modeling, and cross-functional delivery. Focus on profiling and validating data, mapping sources to targets, integrating data products, and supporting financial forecasting, risk modeling, and regulatory reporting.
Location: In office in Los Angeles, California, or Charlotte, North Carolina, US
Salary: $95,000–$155,000 per year, plus eligibility for bonus and/or commissions.
Company
is a financial services company and subsidiary of Royal Bank of Canada, serving entrepreneurs, businesses, clients, colleagues, and communities.
What you will do
- Lead full-lifecycle data analysis, including requirements definition, activity mapping, solution design, discovery, exploration, and impact assessment.
- Design, develop, deploy, and manage data products from ideation through launch, including governance, intake, prioritization, and integration.
- Partner with IT, Business, Finance, and Risk teams to define requirements and deliver solutions for forecasting, risk modeling, regulatory reporting, and operational optimization.
- Profile, prepare, qualify, and validate data against requirements and success criteria; identify gaps, inconsistencies, and misclassified data.
- Create entity relationship diagrams, data flow diagrams, source-to-target mappings, data catalogs, and metadata for data-related objects.
- Mentor colleagues, manage complex data programs and projects, and advise senior leaders and external partners on analytics capabilities and priorities.
Requirements
- Bachelor’s degree or equivalent.
- 6+ years of relevant data analysis or analytics experience in the banking industry.
- Experience managing multiple data product initiatives in complex, cross-functional environments.
- Ability to translate technical data concepts into business outcomes and align technical solutions with Finance, Risk, and other business needs.
- Experience with data product development, advanced analytics, or AI/ML in enterprise environments, with a strong understanding of data systems.
- Strong data product and analytics mindset with a focus on actionable, scalable, user-centric solutions.
Nice to have
- Experience with modern data platforms such as Snowflake and analytics tools.
Culture & Benefits
- Medical, dental, and vision coverage available from the first month following the start date.
- 401(k) company matching contribution.
- Tuition reimbursement and internal upskilling and training resources.
- Vacation, sick, and volunteer time.
- Health and family planning benefits, including fertility and specialized support programs.
- Career mobility support and colleague resource groups.
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