Job Responsibilities:
- Conduct analysis based on past and current HR or business data, with the primary goal of generating insights, answering the question of “so-what”, and supporting leadership in making evidence-based decisions
- Collaborate with team members to deliver analysis results
- Communicate analysis results with relevant team members and internal clients
- Create and document institutional knowledge about our workforce, and share such knowledge with relevant team members and stakeholders
- Tool-agnostic: Explore new tools, technology, and analysis methods for projects, analysis, or products
- Develop new analysis ideas based on observations in existing book of work and data asset
Required qualifications, capabilities and skills:
- Bachelors with 7+ years’ experience in a related social science, business, or quantitative analysis discipline (e.g., Engineering, Economics, Business, IO Psychology, Statistics, Business Analytics, or relevant fields), with a Master’s degree (or equivalent in industry)
- Experience with Python
- Domain knowledge in Human Resources analytics, recruitment, compensation, labor market research, finance, or in the financial services industry
- Hands-on experience in at least two of the following:
- Advanced excel skills (e.g., VLOOKUP, INDEX MATCH, advanced conditional formatting, Analysis ToolPak, macros/VBA)Statistical software.
- Statistical or quantitative analysis (e.g., hypothesis testing, multiple regression, multivariate analysis)
- Use data visualization tools (e.g., Tableau, PowerBI, Qlik) as a means for data exploration and analysis
- Use data wrangling tools (e.g., SQL, Alteryx) to prepare data for exploration and analysis
- Experience in working with large dataset (millions of records) for data exploration and analysis (e.g., AWS, Starburst, Databricks)
- Versatile in learning and picking up different software, tools, methodology, or coding languages
- Relevant experience in consulting, client engagement, or project execution with demonstrated experience in data & analytics topics
Preferred qualifications, capabilities and skills:
- Investigative in nature and interested in asking and answering the question of “why” and “so what”
- Experience in strategy consulting, specifically in data- and analytics-related fields
- Ability to articulate complex issues in easy to understand ways
- Pragmatic problem solving across multiple types of issues in project work
- Willingness to learn new areas of focus - especially support functions
- Comfortable with ambiguity
- Project management experience