2 дня назад
Associate, Data Governance & Stewardship
116 000 - 126 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Associate, Data Governance & Stewardship (Data Governance/Analytics): Building data governance metrics, dashboards, models, quality controls, and lineage documentation for banking data with an accent on reporting, data standards, and enterprise governance tooling. Focus on analyzing structured data with SQL and Python, digitizing source-to-target lineage, and improving data quality through root cause analysis and Lean Six Sigma techniques.
Location: Jersey City, New Jersey, United States; office-based position
Salary: $116,000–$126,000 annual base salary
Company
is a financial services firm.
What you will do
- Build metrics, management information, and dashboards for business stakeholders and senior management.
- Curate data adjustments and aggregate information by division and other parameters affecting customer decisions, regulatory obligations, and reporting.
- Author data standards, reporting data dictionaries, data models, and other project documentation.
- Collaborate with engineering teams to develop enterprise data models and data quality controls.
- Review data governance tooling, including enterprise tools such as Legend, internally known as Alloy.
- Coordinate source-to-target data lineage documentation, digitize related processes, and provide project updates to stakeholders, sponsors, and users.
Requirements
- Master’s degree in Business Analytics, Information Systems, Computer Engineering, or a related field plus 1 year of relevant experience, or a bachelor’s degree in one of these fields plus 3 years of relevant experience.
- Experience using MS Office Suite, including pivot tables, VLOOKUP, index matching, and presentations, to analyze large datasets.
- Experience using SQL and Python to extract, transform, model, and analyze structured data for reporting and analytics.
- Experience developing dashboards and metrics with business intelligence and analytics tools to support data quality and issue management.
- Knowledge of data modeling concepts and technologies such as SQL, JSON, and Python, plus problem-solving and Lean Six Sigma techniques.
- Experience with product reference data, booking, settlement, or reconciliation functions in banking or financial services.
Culture & Benefits
- Work with firmwide teams, engineering partners, senior technologists, project managers, and stakeholders across levels.
- Contribute to the strategic direction of firmwide data initiatives and governance tooling.
- Equal opportunity employment and nondiscrimination in accordance with applicable law.
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