Responsibilities
- Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.
- Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms).
- Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.
- Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.
- Support business development efforts including proposals, client presentations, and thought leadership content.
- Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.
- Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and support evidence-based decision-making.
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
Basic qualifications
- Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
- 4+ years of experience in data science, analytics, or a related field - with direct experience in client-facing or consulting environments.
- 4+ years of demonstrated proficiency in SQL for data extraction, transformation, and analysis across relational databases.
- 4+ years of demonstrated proficiency in Python or R for statistical modeling and data wrangling.
- 4+ years of hands-on experience with data visualization tools such as Tableau, Power BI, or equivalent platforms.
- 4+ years of building analytics solutions end-to-end: from data ingestion and modeling to visualization and stakeholder presentation.
- Ability to travel 0-25%, on average, based on client and project needs.
- Limited immigration sponsorship may be available
Preferred qualifications
- Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML).
- Experience working with workforce, HR, or human capital data (e.g., headcount, attrition, compensation, organizational network analysis).
- AI fluency and familiarity with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
- Economics background or acumen, with the ability to apply labor market economics principles to workforce problems.
- Experience in analytics product development - building repeatable tools, models, or platforms rather than one-off deliverables.
- Proficiency in Python or R for statistical modeling and data wrangling.
- Strong communication skills with the ability to convey complex analytical insights to diverse audiences.
Tags & focus areas
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