Data Analytics & Reporting Analyst – Data Engineering Team

Ameriprise Financial Services, LLC

Data analytics analyst strengthening investment oversight and reporting at global asset manager Columbia Threadneedle Investments. Building quantitative models, dashboards and automated workflows for investment teams.

Posted 8/21/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics and quantitative modeling within investment management, utilizing advanced skills in Python, R, and SQL to deliver actionable insights and performance reports. Strong collaboration and communication abilities facilitate effective partnerships across diverse teams and locations.

Highest-signal resume keywords

Data AnalyticsQuantitative DevelopmentPerformance AttributionPython ProgrammingInvestment Data Platforms

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalyticsQuantitative DevelopmentPerformance AttributionPython ProgrammingR ProgrammingStructured Query Language (SQL)Data ValidationModel GovernanceBacktestingScenario Analysis

Soft Skills

Strong Communication SkillsCollaborationProblem-Solving MindsetIntellectual CuriosityAbility to Manage Multiple Priorities

Tools & Technologies

Amazon Web ServicesMicrosoft AzureBloombergFactSetMorningstarEVestmentAladdinBusiness Intelligence ToolsBig Data TechnologiesAnalytical Tools

Certifications & Qualifications

Chartered Financial Analyst (CFA)Financial Risk Manager (FRM)

Industry Keywords

Investment ManagementFinancial ServicesPortfolio AnalyticsInvestment ConsultingMulti-Manager InvestingInvestment OperationsRisk MetricsData SolutionsPerformance ReportsMarket Research

Tech Stack

Tools & technologies

AWSAzureCloudPythonSQL

About the role

Key responsibilities & impact

Partner with Coverage Analysts, Investment Strategy & Research and Multi-Manager Solutions professionals to understand analytical needs and translate them into data solutions, models and reporting
Participate in research discussions and project planning aligned with investment oversight, research, portfolio construction and manager selection priorities
Source, validate and maintain investment data across platforms and databases
Build, maintain and enhance quantitative models, analytical tools and performance attribution systems
Support backtesting, scenario analysis and factor-based research
Automate recurring analytical and reporting workflows
Deliver performance reports, risk metrics and strategy dashboards
Design and maintain dashboards and data visualisations for investment professionals
Apply model governance practices, including documentation, version control and validation protocols
Evaluate new technologies and methodologies, including artificial intelligence and machine learning
Support product development and market research through data analysis and quantitative modelling
Collaborate with Enterprise Technology, Information Technology and Investment Risk Management teams on technology enhancements, platform development and analytical needs
Coordinate with colleagues across Boston, New York, London and India

Requirements

What you’ll need

3-7 years of experience in data analytics, quantitative development or reporting within investment management or financial services
Strong knowledge of investment data, portfolio analytics, performance attribution and risk
Bachelor's or Master's degree in mathematics, statistics, computer science, data science or a related quantitative field
Advanced proficiency in Python, R and Structured Query Language (SQL)
Experience using database platforms
Strong communication skills, with the ability to explain complex concepts clearly to technical and non-technical audiences
Ability to collaborate across functions and locations
Ability to manage multiple priorities and deliver high-quality work to deadlines
Initiative, intellectual curiosity and a practical problem-solving mindset
Valid U.S. work authorization that does not now or in the future require visa sponsorship
Professional certification such as Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) is preferred
Experience with cloud platforms such as Amazon Web Services or Microsoft Azure, big data technologies or business intelligence tools is preferred
Experience with investment data platforms such as Bloomberg, FactSet, Morningstar, eVestment or Aladdin is preferred
Background in investment consulting, multi-manager investing or investment operations is preferred

Benefits

Comp & perks

Variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role
Vacation time
Sick time
401(k)
Health insurance
Dental insurance
Life insurance
Flexible work arrangement: work from home one (1) day per week
Reasonable accommodation support during recruitment and interviews