Data, Analytics & Reporting Analyst - Investment Consultancy & Oversight and Multi-Manager Solutions
Columbia Threadneedle Investments · Boston, MA · 1 wk ago
HybridEngineering$115k–$145k/yrFull-time
About the role
The Data, Analytics & Reporting Analyst supports the Investment Consultancy & Oversight and Multi-Manager Solutions businesses. This is a hands-on role for a self-directed analyst who takes ownership of their work, improves data quality and analytical capabilities, and brings innovative ideas to enhance efficiency and impact.
Responsibilities
- Partnership with Coverage Analysts, Investment Strategy & Research, and Multi-Manager Solutions
- Work in close, ongoing collaboration with the Coverage Analysts and Investment Strategy and Research team, as well as the investment professionals within Multi-Manager Solutions, to understand their analytical needs and translate those needs into effective data solutions, models, and reporting.
- Proactively identify gaps in existing tools or data coverage and propose solutions that enhance the teams' ability to generate insights and support investment decision-making.
- Data Management & Quality
- Source, validate, and maintain investment data across multiple platforms and databases to support all investment oversight, research, and multi-manager activities.
- Ensure data quality, consistency, and accessibility for the Coverage Analysts, Investment Strategy and Research team, Multi-Manager Solutions team, and broader stakeholders.
- Resolve data issues, enhance data infrastructure and manage data feeds.
- Quantitative Development & Analytical Tools
- Build, maintain, and enhance quantitative models, analytical tools, and performance attribution systems used across Investment Consultancy & Oversight and Multi-Manager Solutions.
- Develop automated solutions that improve the efficiency and accuracy of recurring analytical workflows.
- Support backtesting, scenario analysis, and factor-based research efforts in coordination with the Investment Strategy & Research team and Multi-Manager Solutions investment professionals.
- Apply sound model governance practices including documentation, version control, and validation protocols.
- Reporting & Dashboard Development
- Continuously evaluate reporting processes for opportunities to improve clarity, efficiency, and automation.
- Produce regular and ad-hoc reports for investment teams, senior management, and oversight committees across both businesses, ensuring timely and accurate delivery of performance reports, risk metrics, and strategy dashboards.
- Design and maintain dashboard capabilities that provide Coverage Analysts, Investment Strategy and Research, and Multi-Manager Solutions professionals with ready access to the data and visualizations they need.
- Process Improvement & Innovation
- Drive efficiency improvements through automation, process optimization, and the adoption of new technologies and methodologies.
- Identify opportunities to leverage emerging capabilities including artificial intelligence and machine learning to enhance the team's analytical infrastructure.
- Support new product development and market research efforts through data analysis and quantitative modeling.
- Cross-Functional Collaboration
- Collaborate with Enterprise Technology and IT teams on technology enhancement projects and platform development.
- Support the Investment Risk Management team with data and analytical needs as required.
- Cross-Functional Collaboration
- Collaborate with team members across Boston, New York, London, and India to ensure seamless collaboration across time zones and consistent quality standards.
Qualifications
- Bachelor’s or Master’s degree in a quantitative field (Math, Statistics, Computer Science, Data Science, or similar).
- 3–7 years’ experience in data analytics, quantitative development, or reporting within investment management or financial services.
- Advanced proficiency in Python, R, and SQL; experience with database platforms.
- Strong communication skills with the ability to explain complex concepts to technical and non-technical audiences.
- Prioritized ability to manage multiple priorities and deliver high-quality work to deadlines.
Preferred Qualifications
- CFA, FRM, or similar professional certification.
- Experience with cloud platforms (AWS/Azure), big data, or BI tools.
- Background in investment consulting, multi-manager, or investment operations.
- Experience with Bloomberg, FactSet, Morningstar, eVestment, Aladdin.
- Strong understanding of investment data, portfolio analytics, performance attribution, and risk.
- Demonstrated initiative, intellectual curiosity, and problem-solving mindset.