Analyst/Associate, Investment Engineering (Data Solutions)

dimensional; Austin (TX); On-site; USD 95,000 - 125,000; Full time

Job summary

Dimensional is seeking an Analyst/Associate in Austin, TX to support the Investment Engineering and Data Solutions teams by ensuring high-quality investment data used across internal systems.

The role focuses on analyzing data quality of security references, prices, ratings, and related data, building data pipelines, and collaborating with Portfolio Management, Trading, and Compliance to meet deadlines and deliver value to clients.

Qualifications

• Bachelor's degree in Finance, Accounting, CS, Engineering, or related field; master's preferred.
• 3–5+ years with large investment datasets, quantitative analysis, SQL/Python.
• Experience with financial data sets and vendor platforms (Bloomberg, Factset, Refinitiv, Morningstar) preferred.

Responsibilities

• Ensure tools and systems are built with appropriate business logic.
• Compile, cleanse, and manage large data sets from multiple sources.
• Research and evaluate vendor data quality and consumption patterns.
• Conduct data analysis using SQL Server, Snowflake, and other DB tech.
• Collaborate with Portfolio Management, Trading, Compliance on analyses.
• Design, build, and test data pipelines with data engineers.
• Shape data architecture for internal distribution of investment data.
• Drive efficiency through automation and process design.
• Mentor junior analysts and share knowledge across the team.

Skills

Analytical thinking

Attention to detail

Communication

Education

Bachelor's degree in Finance, Accounting, Computer Science, Engineering, Business

Tools

SQL Server

Snowflake

Python

Data pipelines

Job description

Job Description:

Dimensional's Investment Engineering department is responsible for ownership of investment data, which means managing data from acquisition through distribution, driving analysis to create information from data, and creating the information and analysis consumed by internal and external reports. Investment Engineering is a hub group touching numerous areas of the implementation of the investment process and interacting with most other departments within Dimensional.

The Data Solutions team's primary responsibilities involve overseeing the incoming base-level data and the centralized management and distribution of investment data to Dimensional's internal Portfolio Management, Trading, and Reporting systems.

The Data Solutions team seeks an Analyst/ Associate capable of supporting key initiatives underpinning our daily implementation process. This role will work within the team to analyze the quality of investment data within Dimensional, including security reference , prices, ratings, and all other data crucial to the investment process. They will be a subject matter expert in the team's existing data products and work to design new products. Success in this role will mean delivering clean, accurate data to internal as well as external clients in a timely manner, being creative at finding different ways to analyze and present relevant investment data and enhancing operational efficiencies at Dimensional to deliver value-added investment solutions to our clients.

Responsibilities:

• Support Dimensional's investment processes by ensuring tools and systems are built with appropriate business logic.
• Compile, cleanse, and manage large data sets from multiple sources to support investment systems.
• Research and evaluate vendor data to assess quality and recommend optimal consumption patterns.
• Conduct data analysis using SQL Server, Snowflake, and other structured / unstructured database technologies.
• Partner with Portfolio Management , Trading, Compliance to address portfolio construction questions and perform related analysis.
• Collaborate with internal clients to gather and define requirements for core business systems, and then design, build, and test data pipelines in partnership with data engineer resources.
• Assist in shaping data architecture for internal distribution of investment data, including defining and building data structures for end-user consumption.
• Drive efficiency through automation, process design, and implementation.
• Mentor and provide guidance to junior analysts, fostering skill development and knowledge-sharing across the team.

Qualifications:

• Bachelor's degree in Finance , Accounting, Computer Science, Engineering, Business, or a related field. Master's degree and/or professional certifications ( e.g. CFA) preferred.
• 3-5+ years of experience working with large investment datasets, performing quantitative analysis, and leveraging SQL, Python, or similar data management tools.
• Strongly preferred: experience working with financial data sets and vendor platforms (Bloomberg, Factset , Refinitiv, Morningstar, etc.).
• Demonstrated interest and passion for financial markets.
• Experience working in Agile/Scrum teams, writing business requirements, and communicating effectively with software engineers.
• Self-starter with proven ability to manage multiple projects and meet deadlines.
• Strong analytical and quantitative problem-solving skills.
• Attention to detail with the ability to connect findings to broader objectives and goals.
• Excellent communication skills with the ability to convey complex ideas and bridge investment professionals and engineering teams.

This role is not eligible for immigration sponsorship.

Dimensional offers a variety of programs to help take care of you, your family, and your career, including comprehensive benefits, educational initiatives, and special celebrations of our history, culture, and growth.

It is the policy of the Company to provide equal opportunity for all employees and applicants. The Company recruits, hires, trains, promotes, compensates, and administers all personnel actions without regard to actual or perceived race, color, religion, religious practice, creed, sex, sex stereotyping, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), caregiver status, gender, gender identity, gender expression, transgender identity, national origin, age, mental or physical disability, ancestry, medical condition, marital status, familial status, domestic partnership status, military or veteran status or service, unemployment status, citizenship status or alienage, sexual orientation, status as a victim of domestic violence, status as a victim of stalking, status as a victim of sex offenses, genetic information, political activities or recreational activities, arrest or conviction record, salary history, natural hairstyle or any other status protected by applicable law.