Vice President, Senior Data Analytics Engineer

Our Company

Oaktree is a leader among global investment managers specializing in alternative investments, with about $200 billion in assets under management. The firm emphasizes an opportunistic, value-oriented and risk-controlled approach to investments in credit, private equity, real assets and listed equities.  The firm has over 1200 employees and offices in 24 cities worldwide.

We are committed to cultivating an environment that is collaborative, curious, inclusive and honors diversity of thought. Providing training and career development opportunities and emphasizing strong support for our local communities through philanthropic initiatives are essential to our culture.

For additional information please visit our website at www.oaktreecapital.com

Summary

The Analytics Engineer will contribute to the design, maintenance, and development of logical, relational, and dimensional data models across our data warehouse environment. This individual will play a pivotal role in shaping the overall data architecture, ensuring the effective design, implementation, and ongoing optimization of our internal and enterprise data assets.

The analytics engineering team manipulates raw data to make it more available, organized, and easier to analyze. Working with other data team members (data architects, data analysts, data engineers, and data scientists), analytics engineers help companies make better decisions, lower costs, improve productivity, and increase revenue.

The ideal candidate should demonstrate a comprehensive understanding of the asset management business and have a proven track record of collaborating with key stakeholders to establish both future and current state data architecture and experience in championing data solutions that align with business objectives

Responsibilities

• Work closely with cross-functional stakeholders to assess current data architecture and develop future-state architectures that align with organizational goals. 
• Lead discussions around business requirements, data needs, and technological capabilities to ensure that solutions meet both present and future needs.
• Analyze data to test theories and further the development of the data models.
• Prototype solutions in analytics tools to help user interact with and test solutions.
• Ensure that models are aligned with business requirements and that they can evolve with future data demands.
• Provide thought leadership on best practices in data modeling, and work to create scalable, efficient data models that support business objectives.
• Diagnose data issues, perform in-depth data analysis, and collaborate with stakeholders to develop and implement solutions.
• Identify and analyze atypical data outcomes, perform root cause analysis, and implement corrective actions.
• Develop strong partnerships with internal teams to uncover and define new data sources and structures that will support business growth.
• Ensure that all data architectures and models adhere to internal data governance policies and comply with security standards (including PHI masking, information security regulations, and other IT-enforced controls). Work with data governance teams to ensure that best practices are followed, reducing risk across the enterprise.
• Ensure all data models, processes, and requirements are clearly documented and that timelines and milestones are properly established and adhered to.

Qualifications

• 10+ years relevant experience, preferably in the financial services industry.
• Bachelor’s degree in Computer Science, Finance, or other relevant discipline.
• Strong and proven oral and written communication skills.
• A team player who works well with functional and technical resources.
• Expertise in SQL, Python and analytics tools (PowerBI, Tableau, Qlik)
• Ability to manage and prioritize tasks in a dynamic environment, ensuring milestones and timelines are met.
• Solid understanding of information security and data privacy protocols, including compliance with data use and licensing agreements.
• Ability to thrive in a fast-paced, culturally diverse environment and quickly learn new technologies.
• Experience in managing data governance, including the handling of PHI and ensuring compliance with organizational security policies.

Personal Attributes

• Relationship Building; works effectively with strong, diverse teams of people with multiple perspect