Data Analyst

Kforce Inc; San Mateo (CA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical/dental/vision benefits

401(k) retirement plan

Job summary

Kforce, a staffing solutions firm, is seeking a Data Analyst in Foster City, CA to develop operational models, forecasts, and decision-support analytics that translate demand into staffing strategies.

You will analyze datasets, build dashboards with Looker, Tableau, and Databricks, and collaborate with Operations leadership to inform capacity planning and performance improvements. 3–5 years of experience and strong SQL/Python skills are required.

Qualifications

• Bachelor's or Master's degree in a data-related field.
• 3–5 years of data analysis or operations analytics experience.
• Strong SQL for data extraction, transformation, and analysis.
• Experience using Python and Pandas for data manipulation.
• Experience building dashboards with Looker, Tableau, or Databricks.
• Analytical mindset with focus on solving operational problems.
• Ability to translate complex datasets into actionable insights.
• Excellent communication to explain technical concepts clearly.

Responsibilities

• Operational Modeling: translate demand forecasts into staffing needs using queueing and capacity models.
• Data Analysis & Reporting: analyze datasets and deliver dashboards showing key metrics.
• Operational Analytics & Reporting: build dashboards to inform staffing and capacity planning.
• Data Processing & Data Quality: use SQL and Python to extract, clean, and transform data from multiple systems.
• Operational Efficiency Analysis: identify inefficiencies and opportunities to improve staffing and service.
• Ad-Hoc Operational Analysis: perform targeted analyses to answer key business questions.

Skills

Analytical mindset

Communication skills

Translate data into insights

Staffing modeling

Education

Bachelor's or Master's in Data Science, Statistics, OR Operations Research, Economics, Engineering

Tools

SQL

Python

Looker

Tableau

Databricks

Job description

Responsibilities

Kforce has a client in Foster City, CA that is seeking a Data Analyst who will work on operational modeling, forecasting, and decision-support analytics that help translate operational demand into resource and staffing strategies. Key Responsibilities:

• Operational Modeling: Develop analytical models that translate operational demand forecasts into resource and staffing requirements; Apply queueing and capacity models (e.g., Erlang) to estimate staffing needs, service levels, and performance under varying demand scenarios; Support capacity planning by analyzing demand patterns, service targets, and operational throughput across service and R&D testing
• Data Analysis & Reporting: Analyze operational and workforce-related datasets to identify trends, staffing gaps, and performance opportunities; Deliver reports and dashboards that provide visibility into key operational metrics
• Operational Analytics & Reporting: Provide analytical support to Operations leadership by developing models, dashboards, and insights that inform staffing strategies, operational readiness, and capacity planning; Build and maintain dashboards that track key operational performance indicators, staffing coverage, and service performance
• Data Processing & Data Quality: Use SQL and Python or equivalent to extract, clean, and transform large operational datasets from multiple systems; Ensure data accuracy and consistency across reporting and analytical models
• Operational Efficiency Analysis: Identify patterns, inefficiencies, and opportunities within operational data; Provide analysis that supports improved staffing allocation, operational coverage, and service performance
• Ad-Hoc Operational Analysis: Perform targeted analyses to support operational initiatives, evaluate staffing scenarios, and answer key business questions related to operational performance

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Operations Research, Economics, Engineering, or a related field
• 3-5 years of experience in data analysis, operations analytics, or similar analytical roles
• Strong proficiency in SQL for data extraction, transformation, and analysis
• Experience using Python and Pandas for data manipulation and analysis
• Experience building dashboards with Looker, Tableau, Databricks, or similar visualization tools
• Strong analytical mindset with a focus on solving operational problems through data
• Ability to translate complex datasets into clear, actionable insights
• Ability to build analytical models that support operational planning and capacity analysis
• Strong attention to detail and commitment to data accuracy
• Excellent communication skills, with the ability to explain technical concepts to a diverse, non-technical audience

Bonus Qualifications

• Experience working with Workforce Management platforms such as NICE, UKG, or similar systems
• Experience building staffing models, capacity planning models, or operational forecasting models
• Experience working with large-scale operational or service-based environments
• Familiarity with fleet operations, service operations, or contact center environments

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.