Data, Analytics & Reporting Analyst - Data Engineering Team

Columbia Threadneedle; Boston (MA); Hybrid; USD 140,000 - 170,000; Full time

Benefits offered by this job

Health insurance

401(k)

Dental insurance

Life insurance

Vacation & sick time

Job summary

Columbia Threadneedle is seeking a Data, Analytics & Reporting Analyst to join the Data Engineering Team in Boston. You will shape data, analytics and reporting capabilities that support investment oversight, research, portfolio construction and manager selection.

You will partner with Coverage Analysts, Investment Strategy & Research and Multi-Manager Solutions to translate complex business needs into high-quality data solutions, quantitative models and actionable reporting, owning critical

Qualifications

• 3-7 years of experience in data analytics, quantitative development or reporting within investment management or financial services, with 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), together with experience using database platforms.
• Strong communication skills, with the ability to explain complex concepts clearly to technical and non-technical audiences and collaborate across functions and locations.
• Proven ability to manage multiple priorities, deliver high-quality work to deadlines and demonstrate initiative, intellectual curiosity and a practical problem-solving mindset.

Responsibilities

• Translate analytical needs into effective data solutions, models and reporting in partnership with investment professionals.
• Participate in research discussions and project planning, aligning data capabilities with investment oversight, research, portfolio construction and manager selection priorities.
• Source, validate and maintain investment data across platforms and databases, ensuring quality, consistency, accessibility and reliable data feeds for investment teams and stakeholders.
• Build, maintain and enhance quantitative models, analytical tools and performance attribution systems, including backtesting, scenario analysis and factor-based research.
• Automate recurring analytical and reporting workflows to improve efficiency, accuracy and timely delivery of performance reports, risk metrics and strategy dashboards.
• Design and maintain dashboards and data visualisations that give investment professionals ready access to decision-useful information.
• Apply sound model governance practices, including documentation, version control and validation protocols.
• Drive process improvement by evaluating new technologies and methodologies, including AI/ML, and support product development and market research through data analysis and quantitative modelling.
• Collaborate with Enterprise Technology, IT and Investment Risk Management on enhancements, coordinating with teams across Boston, NY, London and India.

Skills

Python

R

SQL

Data analytics

Communication

Cross-functional collaboration

Education

Bachelor’s or Master’s degree in mathematics, statistics, computer science, data science or related quantitative field

Tools

Bloomberg

FactSet

Morningstar

eVestment

Aladdin

AWS

Azure

Job description

Data, Analytics & Reporting Analyst - Data Engineering Team

• Boston

Description

Join our Data Engineering team and help shape the data, analytics and reporting capabilities that support investment oversight, research, portfolio construction and manager selection.

You will partner with Coverage Analysts, Investment Strategy & Research and Multi-Manager Solutions professionals to translate complex business needs into high-quality data solutions, quantitative models and actionable reporting. This hands‑on role offers meaningful ownership, cross‑functional influence and the opportunity to strengthen data quality, automate critical workflows and introduce innovative analytical capabilities.

You will contribute directly to how our investment teams generate insights and make informed decisions while continuing to grow your technical and investment expertise.

Responsibilities

• Partner closely with Coverage Analysts, Investment Strategy & Research and Multi-Manager Solutions professionals to understand analytical needs and translate them into effective data solutions, models and reporting.
• Participate in research discussions and project planning, aligning data and analytical capabilities with investment oversight, research, portfolio construction and manager selection priorities.
• Source, validate and maintain investment data across platforms and databases, ensuring quality, consistency, accessibility and reliable data feeds for investment teams and broader stakeholders.
• Build, maintain and enhance quantitative models, analytical tools and performance attribution systems, including solutions that support backtesting, scenario analysis and factor‑based research.
• Automate recurring analytical and reporting workflows to improve efficiency, accuracy and timely delivery of performance reports, risk metrics and strategy dashboards.
• Design and maintain dashboards and data visualisations that give investment professionals ready access to decision‑useful information.
• Apply sound model governance practices, including clear documentation, version control and validation protocols.
• Drive process improvement by evaluating new technologies and methodologies, including artificial intelligence and machine learning, and 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, while coordinating effectively with colleagues across Boston, New York, London and India.

Required Qualifications

• 3-7 years of experience in data analytics, quantitative development or reporting within investment management or financial services, with 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), together with experience using database platforms.
• Strong communication skills, with the ability to explain complex concepts clearly to technical and non‑technical audiences and collaborate across functions and locations.
• Proven ability to manage multiple priorities, deliver high-quality work to deadlines and demonstrate initiative, intellectual curiosity and a practical problem‑solving mindset.

Preferred Qualifications

• 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.

U.S. Work Authorization & Sponsorship

Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).

In‑Office Collaboration

We are a client‑centric, relationship‑based business. Working together, in‑person, is foundational to how we achieve results. By fostering a culture of face‑to‑face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders - clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in‑office time or different in‑office expectations, and specific requirements will be discussed during the hiring process.

Base Pay Salary

The estimated base salary for this role is $140,000 - $170,000 per year. We have a pay‑for‑performance compensation philosophy. Your initial total compensation may vary based on job‑related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long‑term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well‑being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances.

Full‑Time/Part‑Time

Full time

Exempt/Non‑Exempt

Exempt

Job Family Group

Investment Management

Line of Business

AMINV US Asset Management

Columbia Threadneedle is a people business, and we recognise that our success is due to our talented people, who bring diversity of thought, complementary skills and capabilities. We are committed to fostering an inclusive and performance‑based culture where everyone can belong, grow, contribute and realise their potential.

Columbia Threadneedle is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, military status, veteran status, genetic information, citizenship, disability status, marital status, family status or any other basis prohibited by law.

We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.

Requisition Number

R26_3014