Data Analyst I - Onsite

Kforce Inc.
Greenwood Village, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Greenwood Village, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Databases
Relational Databases
Python
Machine Learning
Operational Data Store
Standard Sql
SQL Databases
Data Processing
Generative AI
Pandas
Data Analytics
Virtual Agents
Database Tools and Utilities

Job description

Kforce has a client that is seeking a Data Analyst I for an onsite role in Greenwood Village, CO. Summary: We are seeking a highly motivated Data Analyst I to join the Operational Analytics & Insights (OAI) team supporting the Next Best Offer (NBO) initiative. This project focuses on leveraging AI-driven models and conversational analytics to deliver optimized customer offers and improve customer experience outcomes. This is an exciting opportunity to work with large-scale operational data from 30+ call centers while gaining exposure to cutting-edge Generative AI and Agentic AI technologies. Responsibilities:

  • Perform data collection, validation, analysis, and reporting
  • Analyze high-volume conversational and operational datasets
  • Develop and optimize SQL queries, scripts, and reporting processes
  • Conduct data wrangling and transformation using Python and Pandas
  • Create recurring and ad hoc reports for business stakeholders
  • Extract and analyze data from databases and external data sources
  • Document reporting requirements, workflows, and data processes
  • Support AI/ML-driven customer offer optimization initiatives
  • Collaborate cross-functionally with analytics and engineering teams

Requirements

  • 1-3 years of experience in Data Analytics or related field

Strong proficiency in:

  • Python
  • SQL
  • Pandas
  • Experience working with relational databases and query tools
  • Strong analytical, problem-solving, and organizational skills
  • Ability to work on-site 5 days/week

Preferred Qualifications:

  • Exposure to Machine Learning and AI concepts
  • Experience with cloud platforms such as Azure or AWS
  • Familiarity with conversational analytics or customer experience data

Benefits & conditions

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.

About the company

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