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Director, Data Analytics Engineering

OCC
United StatesRemotefull_timeVerifiedPosted 6 Oct 2025
💰 $264,300/yr($179,900/yr$264,300/yr)

About the role

*****THIS POSITION IS NOT ELIGIBLE FOR VISA SPONSORSHIP*****

What You'll Do:

This position will spearhead the OCC's analytics function by partnering with business stakeholders to deliver analytics solutions and empower self-service business intelligence. The individual will manage a team that works closely with both business users and data engineering groups throughout the organization to enable data-driven decisions. This includes facilitating access to historical and near real-time data through exploration and analysis using both on-premises and cloud-based tools and technologies.

Primary Duties and Responsibilities:

To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.

  • Lead the OCC Centralized Data Analytics team in delivering business-focused analytics solutions

  • Establish and maintain data analytics standards across the organization

  • Collaborate with Data Engineers to define data availability requirements that align with business objectives

  • Partner with the Data Governance Team to ensure analytics solutions utilize high-quality data

  • Oversee validation of data models to confirm information accessibility in the analytics warehouse for analysis and dashboard development purposes

  • Guide the migration from legacy analytics systems to the new Ovation platform, including refactoring complex SQL queries

  • Oversee team collaboration with other Data teams to develop a business-friendly Semantic Data Layer

  • Review and authorize documentation and testing protocols to ensure data accuracy and clarity

  • Enhance business user capabilities by promoting self-service tools and improving data literacy through training materials and resources

  • Identify and implement data and analytics best practices across the team

  • Pursue ongoing professional development in data and analytics methodologies to improve solution maintainability and reliability

  • Develop analysts' capabilities to independently address analytics challenges

Supervisory Responsibilities:

  • Manage a team

Qualifications:

The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions.

  • [Required] Demonstrated ability to partner across business units, Data Engineering, and Data Architecture teams to develop business-aligned solutions

  • [Required] Skill in translating technical concepts for varying audiences and converting business requirements into technical deliverables

  • [Required] Proven capability supporting business analysts during high-priority initiatives

  • [Required] Exceptional attention to detail with structured problem-solving approach

  • [Required] Extensive experience with analytics/reporting technologies and database systems

  • [Required] Excellence in presentation and communication, particularly when explaining technical results to non-technical stakeholders

  • [Required] Established team management experience

  • [Required] Knowledge of Capital Market domain

  • [Preferred] Knowledge of Clearing domain

Technical Skills:

  • [Preferred] Understanding of applied statistics and hands-on experience applying these concepts preferred

  • [Required] Knowledge of and experience working with analytics/reporting technology and underlying databases

  • [Required] Strong presentation and communication skills, including ability to clearly explain deliverables/results to non-technical audiences

  • [Required] Advanced mastery of SQL query development and optimization

  • [Required] Experience with Python and/or R

  • [Required] Experience with visualization and analytics reporting tools, such as Tableau| [Preferred] Experience with ETL tools, such as Alteryx, AWS Glue preferred

Education and/or Experience:

  • [Required] bachelor’s degree in quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience

  • [Preferred] Master's degree

  • [Required] 10+ years of experience as a data analytics engineer, business intelligence analyst, or data scientist

  • [Required] Experience managing team

Certificates or Licenses:

  • [Preferred] BI tool certificati

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Company

OCC

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