What are the responsibilities and job description for the Analytics Analyst position at Oxford Solutions?
Oxford Solutions is working with a financial services organization seeking a Data & Analytics Technical Analyst for a direct hire opportunity. This hybrid role requires four days per week onsite.
This position will support operational and data-focused initiatives across multiple business functions. The analyst will evaluate existing processes, identify opportunities for automation, and help improve how data is organized, analyzed, and used throughout the organization.
Responsibilities
- Analyze operational workflows and data processes across multiple departments
- Evaluate existing processes and identify opportunities for automation and improvement
- Work with business and technical teams to understand data requirements and operational challenges
- Support the development and organization of data domains and medallion architecture
- Write and optimize SQL queries for data analysis, validation, and reporting
- Use Python to automate processes and perform data analysis
- Develop and maintain Tableau dashboards and visualizations
- Investigate data quality issues and recommend practical solutions
- Document workflows, data definitions, and technical requirements
- Ask thoughtful questions to better understand business operations and identify improvement opportunities
- Collaborate with stakeholders across operations, technology, and analytics teams
Qualifications
- Bachelor’s degree in Data Science, Computer Science, Applied Mathematics, Statistics, Business, Economics, or another quantitative discipline
- Approximately 5 years of experience in data analytics, technical analysis, business intelligence, or a related field
- Strong SQL skills
- Experience using Python for data analysis or automation
- Experience developing reports and dashboards in Tableau
- Understanding of data domains, data architecture, or medallion architecture
- Experience evaluating operational processes and identifying automation opportunities
- Financial services industry experience is highly preferred
- Ability to understand how data moves through business operations and across departments
- Strong analytical, problem-solving, and communication skills
- Team-oriented, coachable, and eager to continue learning
- Comfortable asking questions and working collaboratively with both technical and nontechnical stakeholders
Data & Analytics Analyst - 26-00583