Search for Research Data Analyst roles in Boston, preferably in financial services, with a focus on data quality and analysis, requiring 5+ years of experience, and a salary range between $110,000 and $135,000.

Okay, I've searched for Research Data Analyst roles in Boston within financial services, focusing on data quality and analysis, requiring 5+ years of experience, and a salary range between $110,000 and$ 135,000. I found 27 positions that meet your criteria.

Research Data Analyst

Boston, MA

Financial Services

5 years + Experience

$110000+

$135000-

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of Research Data Analyst at GMO is fundamentally centered on ensuring the integrity and efficiency of data that is pivotal for informed investment decisions. The key responsibilities elucidate a need for both technical expertise and a strategic mindset; a successful candidate will monitor and enhance data quality controls, manage onboarding of new datasets, and engage in proactive collaboration with investment teams to identify their data needs. This requires not just technical proficiency with tools like Python and SQL for data manipulation, but also a deep understanding of the nuances involved in financial data across various asset classes. Challenges may include identifying anomalies in large datasets, navigating complex data pipelines, and exhibiting subject matter expertise in diverse financial categories. Success in this role is characterized by the analyst's ability to create solutions that streamline the data preparation process, foster transparent access to data, and ultimately enhance the investment research process within a context that values innovation and rigorous analysis.

Company Analysis:

GMO operates in the competitive landscape of global investment management, focusing solely on providing superior long-term investment performance. As an organization well-respected for its valuation-based philosophy, GMO positions itself as a bold, intellectually rigorous player in the market, which informs the expectations placed on the Research Data Analyst. The company culture, which emphasizes client commitment and intellectual curiosity, suggests that the ideal candidate will thrive in an environment where questioning the status quo and enhancing data processes are valued and encouraged. The analyst role is integral to GMO's investment teams, providing a combination of individual contribution and cross-functional collaboration. Given that GMO has a clientele of sophisticated institutions and financial intermediaries, the strategic alignment of this position is clear: it serves to underpin the company's goals of innovation and responsiveness to client needs, contributing tangibly to its reputation for excellence in investment management.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Behavioral Questions:
1. Tell me about a time when you successfully identified and resolved a complex data quality issue.
1. Describe a situation where you had to collaborate with different teams to address a challenging data need. What was your approach?
1. Give an example of how you prioritised multiple data-related projects. How did you ensure success in a fast-paced environment?
1. Can you share an experience where your attention to detail directly contributed to the success of your work?
Technical/Role-Specific Questions:
1. How would you use Python and SQL to automate a repetitive data workflow you’ve encountered previously?
1. Describe your experience with Apache Airflow in orchestrating data pipelines. What challenges did you face?
1. How do you ensure the accuracy and integrity of data when onboarding a new dataset from a vendor?
1. Can you explain your approach to building data quality controls?
Situational Questions:
1. Imagine you notice a consistent anomaly in incoming data from a major feed. What steps would you take to investigate and resolve this issue?
1. If tasked with designing a new data monitoring process, what key factors would you focus on to ensure effectiveness?
Company Fit/Motivation Questions:
1. Why are you interested in working at GMO specifically, and how do you see your role contributing to our investment processes?
1. How do your values align with GMO's emphasis on intellectual curiosity and client commitment?
Questions for the Candidate to Ask the Interviewer:
1. Can you describe the collaboration dynamics between the research data team and the investment teams? How is success measured in this partnership?
1. What opportunities for professional development and continuous learning does GMO provide to its analysts?
1. How does GMO’s culture support innovation and improvement within the data management process?

Job Details

Overview Company

Research Data Analyst

$110k/y-$135k/y

GMO

2 months ago

Highlight

HybridFull-time5+ yearsSenior

Summary

GMO is seeking a Research Data Analyst to join their team in Boston, MA. The role involves building and maintaining research databases for a quantitative investment process.

About the Role

As a Research Data Analyst, you will monitor incoming data to detect anomalies, resolve data quality issues, and develop new data quality controls. You will onboard new datasets, create documentation, and enhance data access transparency. The role requires collaboration with investment teams and data engineering to improve data processes and support existing data feeds.

About You

Required:

Bachelor’s degree, preferably in economics, statistics, computer science, math or information systems.
5+ years of experience working with financial data at an asset management company or financial data provider.
Experience orchestrating data pipelines and processes using Apache Airflow.
Proficient using Python and SQL to maintain data quality and automate data workflows.
Experience modeling data based on vendor methodologies and internal use.
Experience building data quality controls and resolving data issues.
Proven ability to visualize data using modern data analysis techniques.
Strong attention to detail.
Strong communication skills.
High energy and positive attitude.
Passionate about a data focused career path.
Strong interest in databases and database technologies.

Preferred:

Understanding of LLMs and Generative AI.
Prompt Engineering skills.
Experience with data systems implemented in the cloud using Databricks, Delta Lake, Spark.
Experience with Data Governance toolsets.
Interest in, or experience with, Machine Learning for Anomaly Detection.

Benefits

401(k)
Medical insurance
Dental insurance
Commuter benefits
Discretionary annual bonus award
Comprehensive benefits program including life insurance, long-term disability coverage, open paid time off, leaves of absences, dependent care resources, tuition reimbursement, charitable gifts matching, flexible spending accounts.

GMO

For more than 40 years, GMO has partnered with a broad range of sophisticated institutions, financial intermediaries, and families to provide the investment expertise they need to meet their goals and fulfill their missions.

Investing on behalf of our clients is GMO’s sole focus. Across asset classes and around the world, our investment teams identify and exploit long-term opportunities and develop solutions that both anticipate and respond to client needs.

GMO is comprised of a collection of investment teams with focused specialties. All are grounded in a long-term, valuation-based investment philosophy – an approach we believe provides the best risk-adjusted returns.

GMO partners with an impressive roster of sophisticated clients worldwide, delivering innovative investment solutions and tailored client service. Our clients benefit from our diverse expertise, intellectual curiosity, and open culture of debate, as well as from our ability and willingness to take advantage of contrarian market opportunities.

For important disclosure information please visit: https://www.gmo.com/americas/terms-and-conditions/

Boston, MA