Human Capital Management Strategy – Senior Analyst/Associate – Digital Strategy & Automation – Dsa
| Company | Goldman Sachs |
|---|---|
| Location | Salt Lake City, UT, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
Requirements
- Bachelor’s degree or equivalent in Science, Technology, Engineering, or Mathematics.
- 3-5 years of experience in business intelligence, automation, and data analytics.
- Proficiency in digital strategy, business intelligence, automation, and artificial intelligence.
- Relevant experience in Consumer, Financial, Social Media, Tech, or FinTech sectors.
- Strong problem-solving and analytical skills.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a team.
- Knowledge of data-related emerging trends and issues, including financial regulation.
Responsibilities
- Assist the development and deployment of business intelligence applications, ensuring alignment with strategic business objectives.
- Help synthesize complex analysis results into actionable insights and recommendations, influencing strategic business decisions.
- Identify, analyze, and resolve complex systems and algorithm performance trends or issues, developing mitigation strategies.
- Support the development and implementation of AI-driven solutions to enhance business processes and decision-making.
- Utilize data science methodologies to analyze large datasets and generate predictive models.
- Collaborate with data scientists and engineers to integrate AI solutions into existing systems.
- Stay updated on emerging AI and data science trends and technologies, incorporating best practices.
- Assist in project planning, execution, and reporting, ensuring adherence to the project lifecycle.
- Manage risks and dependencies proactively, ensuring successful adoption of automation products.
- Support and guide other solution experts and advisors, fostering a collaborative environment and promoting knowledge sharing.
- Contribute to the incubation of new low-code applications, identifying opportunities for innovation and driving adoption.
- Assist in complex and exploratory data analysis initiatives, ensuring adherence to best practices.
- Collaborate with Engineering to ensure automation solutions align with the firm’s technology architecture strategy.
- Support stakeholder engagements, identifying and cultivating new low-code opportunities.
- Actively seek out and evaluate information and opportunities from internal and external sources, incorporating best practices.
Preferred Qualifications
- Knowledge of multiple functional areas such as product management, engineering, user experience, user research, HR, recruiting, and/or customer support.