Data Analyst

Position Title: Data Analyst

Duration:12-24 Months Contract work with huge possible extension

Work Location: Remote (Client in San Francisco, CA)

Client is seeking a Workforce Analytics and AI Manager to support client’s Corporate Services and Gen AI offerings. This position will focus on delivering innovative solutions, research, and insights for key clients through data, analytics, and AI.

Responsibilities:

• Collaborate strategically with senior leadership within the firm to translate business needs into data, analytics, and AI requirements.
• Lead a small, high-performing team (both on-shore and off-shore) to ensure quality and timely delivery of various use cases.
• Develop and refine data models and analyses to generate benchmarks, actionable insights, and recommendations, leveraging third-party data to support go-to-market efforts and delivery model transformation.
• Conduct in-depth market, industry, and competitive research, translating findings into strategic insights, reports, and thought leadership content.
• Foster and maintain relationships with executive leadership to ensure critical strategic staffing, budgeting, data, and analytic needs are appropriately addressed.
• Support the maturation of the program by identifying areas for process improvement and contributing to strategic internal/structuring improvement projects.

Qualifications:

• 5+ years of recent experience related to strategic program management, data analysis, corporate strategy, or applied analytics, preferably within a consulting context.
• Bachelor's degree from an accredited university; Master's degree and/or certifications are a plus.
• Experience identifying opportunities for advanced analytics use cases, building use cases to prove out value and justify investment, and using data to convey findings to various audiences (C-suite, government agencies, white papers, etc.), and analytical and BI tools like Alteryx, Power BI.
• Demonstrated ability to engage and partner with senior stakeholders across a large organization, with strong analytical, creative problem-solving, and decision-making skills.
• Ability to thrive in a fast-paced setting, managing various stakeholders and use cases concurrently across diverse industries and client service portfolios, and overseeing daily operations of a small data and analytics team, offering prompt feedback for staff development within the firm.

Excellent interpersonal, written, and verbal communication skills; demonstrated ability to develop strong relationships with and effectively communicate complex ideas to technical and non-technical audiences across all levels of the organization.