Advisor
Quantitative Analyst III
Scottsdale, AZ · Mid · Full-time
Sponsorship not specified$85k-$99kDetected 22 days ago
PythonSQLSnowflakeMachine LearningData AnalysisData EngineeringData ScienceData VisualizationStatisticsAccountingPerformance ManagementCommunicationProblem SolvingMentoringPublic Speaking
About the role
- Osaic has returned to the office on a hybrid schedule requiring a minimum of 4 days weekly in the office.
- This is a senior individual contributor role with meaningful influence on team direction and business outcomes.
Responsibilities
- Lead complex analytical projects from problem definition through delivery, ensuring rigor, relevance, and business impact
- Design and build scalable dashboards, data models, KPI frameworks, and analytical assets that support enterprise decision-making
- Conduct advanced analyses to address ambiguous or multi-faceted business questions and deliver clear, actionable recommendations
- Drive improvements to team processes, documentation standards, data quality practices, and analytical workflows
- Partner cross-functionally with Finance, Technology, Data Engineering, and business teams to define requirements and deliver durable solutions
- Demonstrated ability to work independently, manage complex workstreams, and deliver results across teams
- This role plays an important part in advancing enterprise reporting, informing strategic decisions, and strengthening how the firm measures and manages performance.
- As a senior analyst, you will lead complex analytical efforts, partner with stakeholders across the organization, and help elevate the team's standards, tools, and capabilities.
Requirements
- 5-8 years of experience in business intelligence, analytics, finance, or a related quantitative role
- Strong proficiency in problem solving, hypothesis-driven analysis, and translating ambiguous business questions into structured analytical approaches
- Deep proficiency in data analysis, data modeling, dashboarding, and querying large and complex datasets
- Strong proficiency with analytics and data tools such as SQL, Snowflake, Python, R, Power BI, or similar platforms
- Track record of mentoring analysts and contributing to team development
- Experience in financial services, wealth management, or other highly regulated and complex business environments
- Strong understanding of financial metrics, performance management, data governance, and control considerations
Nice to have
- Preferred Requirements:
- Bachelor's degree in economics, statistics, data science, computer science, or a related field preferred
- Advanced degree preferred but not required
Compensation
- $85,000 - $99,000 per year + annual performance-based bonus
- Actual compensation offered will be determined individually, based on a number of job-related factors, including location, skills, licensure, experience, and education.
- Our competitive compensation is just one component of Osaic's total compensation package.
Benefits
- Exposure to AI and machine learning tools and their application to business problems or operational improvement
- Additional benefits include health, vision, dental insurance, 401k, paid time away, volunteer days and much more.
- To view more details of what you can look forward to, visit our careers page: https://careers.osaic.com/Creative/Benefits.
- Education Requirements:
- Equivalent combination of education and relevant experience will be considered
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