Quick overview
Salary$160k - $165k/yr
SeniorityMid Senior
Work modeHybrid
LocationBoston, MA, United States
SQLGitKafkaPythonAzureReactTypeScriptData AnalysisCI/CD
Job description
Job Description A leading investment management organization is seeking an Investment Data Analyst to join its growing analytics and technology team in Cambridge, MA. This role is ideal for a quantitative professional who enjoys working with data, solving complex business problems, and building scalable analytical solutions using modern technologies.
As an Investment Data Analyst, you will work closely with investment, product, and technology stakeholders to deliver data-driven insights and develop tools that support investment decision-making. This position combines analytical rigor with strong technical execution, making it an excellent opportunity for someone with advanced Python and SQL skills who wants to have a direct impact on business outcomes.
You will help design and maintain analytical applications, data pipelines, reporting solutions, and cloud-based data services while contributing to the evolution of a modern investment analytics platform. Required Skills & Experience
As an Investment Data Analyst, you will work closely with investment, product, and technology stakeholders to deliver data-driven insights and develop tools that support investment decision-making. This position combines analytical rigor with strong technical execution, making it an excellent opportunity for someone with advanced Python and SQL skills who wants to have a direct impact on business outcomes.
You will help design and maintain analytical applications, data pipelines, reporting solutions, and cloud-based data services while contributing to the evolution of a modern investment analytics platform. Required Skills & Experience
- 3+ years of experience in data analytics, quantitative analysis, business intelligence, analytics engineering, or a related field
- Strong Python skills for data analysis, automation, and application development
- Advanced SQL experience working with large, complex datasets
- Experience designing and supporting data models and analytical datasets
- Strong quantitative, analytical, and problem-solving capabilities
- Experience building dashboards, reports, or analytical applications
- Familiarity with cloud environments such as Azure or similar platforms
- Experience using Git and working within modern software development practices
- Ability to communicate technical concepts to both technical and non-technical stakeholders
- Bachelor's degree or equivalent professional experience
- Experience in investment management, financial services, asset management, or capital markets
- Familiarity with React, TypeScript, or modern web technologies
- Experience working with APIs and data integrations
- Knowledge of data warehousing and enterprise data platforms
- Exposure to Kafka, Azure Event Grid, or similar messaging technologies
- Experience with CI/CD pipelines and automated testing
- Interest in investment analytics and financial data
- Analyze large investment and operational datasets to identify trends, opportunities, and business insights
- Develop and maintain Python-based analytical tools and automation solutions
- Write and optimize complex SQL queries supporting reporting and analytics initiatives
- Build and enhance data pipelines and integration workflows
- Partner with investment and business teams to understand requirements and deliver data-driven solutions
- Create and maintain analytical reports, dashboards, and data products
- Support the development of internal applications and analytics platforms
- Contribute to data quality, governance, and data management initiatives
- Participate in testing, deployment, and continuous improvement efforts
- Document processes and share knowledge across teams
- Base salary: $160,000 - $165,000
- Discretionary annual bonus
- Hybrid work arrangement in Cambridge, MA
- Opportunity to work with sophisticated investment data and analytics platforms
- Collaborative environment with strong visibility across business and technology teams
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
- 401(k)
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