Data Analytics Associate (AI)

TL;DR

Data Analytics Associate (AI): Developing and implementing AI-driven automation solutions to enhance business processes within Human Capital Management with an accent on Natural Language Processing and Machine Learning. Focus on performing exploratory data analysis, building predictive models, and managing complex cross-functional projects to drive operational efficiency.

Location: Must be based in Dallas, TX, United States

Company

A leading global financial institution providing investment banking, securities, and investment management services.

What you will do

• Develop and implement AI and automation solutions to streamline workflows.
• Perform exploratory data analysis to identify trends, anomalies, and operational opportunities.
• Collaborate with global stakeholders to gather requirements and support digital solution adoption.
• Translate complex analytical results into actionable strategic insights.
• Contribute to the incubation and scaling of low-code/no-code applications.
• Manage multiple concurrent projects from initiation to closure, ensuring timely delivery.

Requirements

• Master’s degree with 1 year of experience or Bachelor’s degree with 3 years of experience in Information Systems, Data Analytics, Computer Science, or related fields.
• Proven experience in developing stakeholder relationships and managing cross-functional projects.
• Proficiency in Python for automation and data transformation.
• Experience with visualization tools such as Power BI, Tableau, or Looker.
• Strong knowledge of database systems including Snowflake, MongoDB, and Data Lakes.
• Expertise in statistical techniques like regression, time series modeling, and EDA.

Culture & Benefits

• Opportunity to work in a high-impact role within a global financial firm.
• Exposure to advanced data analysis approaches including Generative AI and NLP.
• Collaborative environment working with teams across APAC, EMEA, and the Americas.
• Commitment to data-driven culture and professional development.
• Equal opportunity employer with a focus on diversity and inclusion.