Data Analyst: AI-Driven Insights (Onsite Omaha)

CSS (United States); Omaha (NE); On-site; USD 60,000 - 80,000; Part time

Job summary

CSS is seeking an entry-level Data Analyst to join our Omaha, NE team onsite. The role operates within a Microsoft Fabric environment and is offered as a contract-to-hire arrangement for 6–18 months, with potential for permanent employment.

You will analyze data to identify trends, assist with data preparation, and use AI tools to enhance insights while validating results. Collaboration with stakeholders and a commitment to responsible AI practice are essential.

Qualifications

• Bachelor's degree or equivalent experience.
• Strong analytical and communication skills.
• Interest in AI applications to data analysis.

Responsibilities

• Analyze data to identify trends, patterns, and insights for decision-making.
• Assist with preparing, organizing, validating, and interpreting data from various sources.
• Use AI tools to support data analysis and improve efficiency.
• Critically evaluate AI-generated outputs for accuracy and reliability.
• Apply responsible AI principles including privacy, security, bias, and human oversight.
• Collaborate with stakeholders to translate questions into insights.
• Develop reports, visualizations, and analytical deliverables.
• Document analytical processes and findings for consistency.

Skills

Analytical skills

Critical thinking

Problem solving

Attention to detail

Communication skills

Explain findings

AI interest

Education

Bachelor's degree in Data Analytics, Information Systems, Computer Science, Statistics, or related field

Tools

Microsoft Fabric

Power BI

SQL

Job description

CSS is seeking an entry-level Data Analyst to join our Omaha, NE team onsite. The role operates within a Microsoft Fabric environment and is offered as a contract-to-hire arrangement for 6–18 months, with potential for permanent employment.

You will analyze data to identify trends, assist with data preparation, and use AI tools to enhance insights while validating results. Collaboration with stakeholders and a commitment to responsible AI practice are essential.