Human Capital Management Strategy – Senior Analyst/Associate

Summary: We are seeking a motivated and experienced individual to join the HCM Strategy team as a Senior Analyst / Associate in Digital Strategy & Automation. The HCM Strategy team manages transformational initiatives – enhancing our employee experience, driving quantifiable automation benefits, and promoting resiliency – to serve our stakeholders within HCM and across the firm. Your role as a Senior Analyst / Associate within this team requires a blend of strategic thinking, technical expertise, and analytical abilities to support business intelligence, automation, and AI initiatives across all of Human Capital Management. This role is pivotal in driving digital transformation and enhancing operational efficiency within Human Capital Management. The ideal candidate will have 2-5 years of experience in business intelligence, automation, data analytics, and AI. They will demonstrate an ability to contribute to impactful solutions and support organizational change through digital strategy and task automation.

Responsibilities:

Business Intelligence and Automation: 

• 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.

AI and Data Science: 

• 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.

Project Management: 

• 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.

Innovation and Strategy:

• 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.

Stakeholder Engagement: 

• 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.

Qualifications:

Basic Qualifications:

• Bachelor’s degree or equivalent in Science, Technology, Engineering, or Mathematics. 
• 2-5 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.

Preferred Qualifications:

• Solution Delivery
  • Experience with implementing according to solution delivery frameworks such as Agile, Sig Sigma, Waterfall, etc.
  • Able to contextualize analysis in Confluence, JIRA, MS applications etc
• Business Intelligence 
  • Working knowledge of analytics applications (i.e Alteryx, Tableau, Qlik, Power BI)
  • Working knowledge of workflow applications (e.g. MS Power Platform, Appian, unqork, ServiceNow)
  • Working knowledge of database tools (e.g. Mongo DB, Snowflake, Elastic, MS SQL)
• Artificial Intelligence
  • Working knowledge of artificial intelligence programming languages (e.g. Python, R)
  • Working knowledge of artificial intelligence computational packages (e.g. PyCharm, Scikit-Learn)
  • Working knowledge of artificial intelligence platforms including robotics (e.g. Automation Anywhere, Anaconda, GitHub/Lab, Jupyter Hub, UiPath)