Chief Data Office-Data Analytics VP

Bank of China USA; New York (NY); Vor Ort; USD 110.000 - 230.000; Vollzeit

Zusammenfassung

Bank of China USA is looking for a Data Analytics VP in New York City. This role involves supporting bank-wide data analytics initiatives, developing BI dashboards, conducting in-depth data analysis, and implementing advanced analytics solutions, including Machine Learning. The ideal candidate will have over 5 years of relevant experience and strong skills in SQL, Python, and data visualization tools. A Bachelor’s degree is required, and a Master’s is preferred. The position offers a competitive salary range of USD $110,000 - $230,000 annually.

Qualifikationen

• Bachelor’s degree required; Master’s degree preferred in analytics-related fields.
• 5+ years of experience in data analytics with SQL and Python.
• 3+ years of experience in dashboard development.

Aufgaben

• Leverage BI tools to create interactive dashboards and visualizations.
• Perform in-depth analysis of complex datasets to identify trends.
• Support design and implementation of automated processes.

Kenntnisse

Data analytics

SQL

Python

Business Intelligence Tools

Machine Learning

Artificial Intelligence (AI)

Communication skills

Project management

Analytical skills

Ausbildung

Bachelor's degree

Master's degree in relevant fields

Tools

Business Intelligence tools

Jobbeschreibung

Established in 1912, Bank of China is one of the largest banks in the world, with over $3 trillion in assets and a footprint that spans more than 60 countries and regions. Our long‑term outlook, institutional weight and global breadth provide our clients with a stable and reliable financial partner, whether in Corporate or Personal Banking or our Trade Services, Commodities, Financial Institutions and Global Markets lines of business.

Overview

The Data Analytics VP will serve as a key member of the CDO Data Analytics team, supporting bank‑wide data and business analytics initiatives and driving improved business outcomes through the effective use of data across the organization.

Responsibilities

Includes but not limited to:

Data Analytics

• BI Dashboard/Executive Dashboard Development: Leverage Business Intelligence tools to design and build interactive dashboards. Develop clear, insightful visualizations that track key performance and risk indicators, diagnose issues, surface data‑driven solutions, and empower stakeholders to make informed, timely decisions.
• In-depth Analysis: Perform comprehensive analysis of complex datasets to identify trends, patterns, and anomalies. Translate findings into actionable insights that support data‑enabled decision‑making and drive continuous improvement across the organization.
• Advanced Analytics Including Machine Learning/AI: Identify high‑value opportunities to apply advanced analytics, including Machine Learning and AI, to solve business challenges, improve performance, and mitigate risks. Develop predictive models and other advanced analytical solutions to uncover deeper insights and support strategic initiatives. Support experimentation, A/B testing, and model performance monitoring.
• Automation: Support the design and implementation of automated processes to streamline workflows and reporting. Improve operational efficiency, reduce manual effort, and ensure consistent, accurate, and timely data delivery through automation.

Communications

• Stakeholder Collaboration: Gather and evaluate specific data requirements from business stakeholders including executive members, propose tailored data solutions through analytics, and effectively communicate these solutions.
• Presentation and Communication: Create effective presentation decks to present data analysis results to stakeholders and management.
• Advocacy and Education: Promote data analytics best practices and technology adoption within the organization.

Qualifications

• Bachelor’s degree required; Master’s degree in computer science/statistics/applied analytics/business analytics or other analytics relevant majors preferred
• At least 5 years of experience in data analytics, SQL, Python and Business Intelligence Tools
• At least 3 years of experience in dashboard development
• At least 2 years of experience in Machine Learning/AI
• Good communication skills (written and verbal) and project management experience required
• Financial Services Experience Required, Banking experience preferred
• Strong analytical, machine learning and Artificial Intelligence (AI), decision‑making and problem‑solving skills

Pay Range

Actual salary is commensurate with candidate’s relevant years of experience, skillset, education and other qualifications.

USD $110,000.00 - USD $230,000.00 /Yr.