Data, Analytics & Reporting Analyst - Investment Consultancy & Oversight and Multi-Manager Solutions

About Our Company Working at Columbia Threadneedle Investments you'll find growth and career opportunities across all of our businesses. We're intentionally built to help you succeed. Our reach is expansive with a Columbia Threadneedle Investments global team of 2,300 people working together. Our capability is diverse with more than 550 investment professionals sharing global perspectives across all major asset classes and markets. Our clients have access to a broad array of investment strategies, and we have the capability to create bespoke solutions matched to clients' specific requirements. Our unwavering focus on our clients and strong financial foundation connects each of our enterprise businesses — Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Job Description The Data, Analytics & Reporting Analyst sits within the Data Engineering team and supports the Investment Consultancy & Oversight and Multi-Manager Solutions businesses. The role partners closely with Coverage Analysts, Investment Strategy & Research, and investment professionals to deliver high-quality data, analytics, models, and reporting that underpin investment oversight, research, portfolio construction, and manager selection. 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. Key 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. This is a service partnership built on mutual respect and shared objectives — the analyst should expect to be embedded in the research, oversight, and portfolio construction workflows of both businesses. Participate in research discussions and project planning to ensure that data and analytical capabilities are aligned with the priorities of both Investment Consultancy & Oversight and Multi-Manager Solutions. 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. Approach recurring process with a critical eye toward whether it can be done better, faster, or more reliably. 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. Coordinate effectively with team members across Boston, New York, London, and India to ensure seamless collaboration acro