HCM- Dallas- Associate, Data Analytics and Reporting- 9625494

Posted 6 Days Ago
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Dallas, TX, USA
In-Office
Mid level
Fintech • Financial Services
The Role
Design and deploy AI-driven automation and ML/NLP solutions, perform EDA and predictive modeling, build visualizations, collaborate with global stakeholders, scale low-code applications, manage multiple projects end-to-end, and enforce data governance for sensitive employee information.
Summary Generated by Built In

Job Duties: Associate, Data Analytics and Reporting with Goldman Sachs Services LLC in Dallas, Texas. Develop and implement AI (Artificial Intelligence) driven and automation solutions to enhance business processes, leveraging Natural Language Processing and Machine Learning, to streamline workflows and improve decision-making. Identify trends, anomalies and opportunities for operational efficiency by performing Exploratory Data Analysis and develop predictive models. Collaborate with stakeholders across other regions such as APAC, EMEA, or Americas to gather requirements, identify automation opportunities and support planning and adoption of digital solutions. Translate complex analytical results into clear, actionable insights and recommendations that influence strategic decisions and drive adoption. Contribute to the incubation and scaling of low-code/no-code applications, promoting innovation and alignment with the firm’s technology architecture. Manage multiple concurrent projects from initiation to closure, defining scope, developing detailed project plans, ensuring timely delivery of objectives for all assigned projects and creating deliverable documentation. Facilitate training sessions and promote data-driven culture by building reusable analytical tools and automated workflows, following software development best practices to ensure consistency and scalability.

Job Requirements: Master’s degree (U.S. or foreign equivalent) in Information Systems Management, Data Analytics for Science, Computer Science, Business Analytics or a related field with one (1) year of experience in the job offered or in a related role OR Bachelor’s degree (U.S. or foreign equivalent) in Information Systems Management, Data Analytics for Science, Computer Science, Business Analytics or a related field with three (3) years of experience in the job offered or in a related role. Prior experience must include one (1) year of experience (with a Master’s) or three (3) years of experience (with a Bachelor’s) in the following: developing and maintaining stakeholder or client relationships with cross-functional business stakeholders to gather requirements and deliver analytical solutions; simultaneously managing multiple projects, including defining requirements, creating comprehensive project charters and schedules, and reporting on progress to stakeholders, ensuring alignment with strategic objectives across all initiatives; utilizing Python to develop automation tools and perform data transformation analysis; utilizing visualization tools, including at least one of Power BI, Tableau, or Looker; working with Database systems, including Relational Database Management Systems (such as Snowflake), NoSQL databases (such as MongoDB or Google Analytics), and centralized repository (such as Data Lake); applying statistics and data analysis techniques, such as regression, correlation analysis, time series modeling, and Exploratory Data Analysis (EDA), to identify patterns and detect anomalies; providing training and guidance on advanced data analysis approaches, such as Natural Language Processing or Generative Artificial Intelligence, to enable stakeholders to integrate these technologies into their workflows; and managing risks in data automation projects by ensuring data accuracy and enforcing robust data governance policies with strict confidentiality and access controls for highly sensitive employee information.

©The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

Skills Required

  • Master's degree in Information Systems Management, Data Analytics for Science, Computer Science, Business Analytics or related with 1 year experience OR Bachelor's in these fields with 3 years experience
  • Developing and maintaining stakeholder or client relationships with cross-functional business stakeholders to gather requirements and deliver analytical solutions
  • Simultaneously managing multiple projects, including defining requirements, creating comprehensive project charters and schedules, and reporting on progress to stakeholders
  • Utilizing Python to develop automation tools and perform data transformation analysis
  • Using visualization tools, including at least one of Power BI, Tableau, or Looker
  • Working with database systems including relational databases (such as Snowflake), NoSQL databases (such as MongoDB or Google Analytics), and centralized repositories (such as Data Lake)
  • Applying statistics and data analysis techniques such as regression, correlation analysis, time series modeling, and Exploratory Data Analysis (EDA)
  • Providing training and guidance on advanced data analysis approaches, such as Natural Language Processing or Generative AI
  • Developing and implementing AI-driven and automation solutions leveraging NLP and Machine Learning to streamline workflows and improve decision-making
  • Contributing to incubation and scaling of low-code/no-code applications aligned with firm technology architecture
  • Managing risks in data automation projects by ensuring data accuracy, enforcing robust data governance, confidentiality, and access controls for sensitive employee information
  • Following software development best practices to ensure consistency and scalability of analytical tools and automated workflows

Goldman Sachs Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Goldman Sachs and has not been reviewed or approved by Goldman Sachs.

  • Healthcare Strength Coverage includes medical, dental, vision, disability, life and accident insurance, with multiple plan options and most premiums subsidized; coverage often starts on day one. Wellness resources, on-site health centers in some locations, and EAP access reinforce the depth of health support.
  • Parental & Family Support Family care includes on-site childcare in some offices, expectant parent resources, and transitional programs for returning parents. Feedback suggests parental leave is very generous, with reports of around 20 weeks paid leave and stipends for adoption, surrogacy, and fertility-related services.
  • Retirement Support The firm provides a 401(k) plan with employer matching contributions and broad financial education to help employees plan for retirement. Resources also support saving for education and preparing for unexpected events.

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The Company
HQ: New York, NY
67,118 Employees

What We Do

At Goldman Sachs, we believe progress is everyone’s business. That’s why we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, Goldman Sachs is a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices in all major financial centers around the world. More about our company can be found at www.goldmansachs.com

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