What are the responsibilities and job description for the HCM- Dallas- Associate, Data Analytics and Reporting- 9625494 position at Goldman Sachs?
Job Description
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.
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.