Senior Data Analyst

Kforce Inc; Littleton (CO); On-site; USD 90,000 - 130,000; Full time

Job summary

Kforce is seeking a Senior Data Analyst in Littleton, CO to modernize data warehouse environments and optimize ETL, ingestion and streaming processes. You will support cloud-based platforms and analytics, troubleshoot production pipelines, and evaluate AI tools to boost efficiency.

The role requires strong SQL/Python skills, 3+ years in data warehousing, and collaboration with analysts and engineering teams within an Agile setting. On-site role with comprehensive benefits.

Qualifications

• Bachelor's degree required
• 3+ years supporting enterprise data warehouse environments
• Experience designing scalable ETL and ingestion solutions
• Experience working in Agile environments
• Comfortable optimizing complex SQL queries and improving data performance
• Strong problem-solving and troubleshooting skills
• Collaborate with analysts and engineering teams

Responsibilities

• Modernize and optimize enterprise data warehouse environments
• Build and enhance ETL processes, data ingestion frameworks, and streaming applications
• Support large-scale cloud-based data platforms and analytical reporting environments
• Maintain and improve production data pipelines and troubleshoot data issues
• Evaluate emerging AI tools and technologies to improve data warehouse processes and efficiency

Skills

SQL

Python

Data warehousing concepts

Education

Bachelor's degree

Master's degree (nice to have)

Tools

Databricks

Snowflake

AWS/Redshift

Airflow/Control-M

Linux scripting

ETL development

Job description

Responsibilities

Kforce has a client that is seeking a Senior Data Analyst in Littleton, CO. What They're Doing:

• Modernizing and optimizing enterprise data warehouse environments
• Building and enhancing ETL processes, data ingestion frameworks, and streaming applications
• Supporting large-scale cloud-based data platforms and analytical reporting environments
• Maintaining and improving production data pipelines while troubleshooting critical data issues
• Evaluating emerging AI tools and technologies to improve data warehouse processes and efficiency

Requirements

• Bachelor's degree required
• 3+ years supporting enterprise data warehouse environments
• Experience designing scalable ETL and ingestion solutions
• Experience working in Agile environments
• Comfortable optimizing complex SQL queries and improving data performance
• Strong problem-solving and troubleshooting skills
• Someone who can work closely with both analysts and engineering teams

Nice To Have

• Master's degree in Data Science, Computer Science, or related field
• AI tool experience or exposure
• Streaming/data integration experience

Technical Skills Needed

• Strong SQL and Python
• Databricks
• Snowflake
• AWS and/or Redshift
• Airflow or Control-M
• Data warehousing concepts and architecture
• Linux/Unix scripting experience
• ETL development and data pipeline management

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.