Data Engineer / Analyst – Cloud & BI Solutions

Compensation & Location

Location: Onsite in Raymond, OH

Pay Range: $47.00 – $54.00 per hour (based on experience and internal equity)

Schedule: Full-time, contract; long-term opportunity

Work Type: 100% Onsite

Benefits: Health, Vision, Dental, Life Insurance, 401k, Continuing and on-demand education

📍 You must be willing to work onsite in Raymond, OH

‼️ ONLY W2 – NO CORP to CORP – NO 3rd Parties

✅ Sponsorship is available for this role

Position Summary

We are seeking a Data Analyst / Analytics Engineer to analyze complex datasets and build scalable data solutions that support enterprise decision-making. This role blends data analysis, AWS-based data engineering, visualization, and stakeholder collaboration in a fast-paced enterprise environment.

The ideal candidate has a strong analytical mindset, solid experience with AWS data services, and the ability to translate data into clear, actionable insights for both technical and non-technical audiences.

Key Responsibilities

• Analyze and interpret complex datasets to deliver actionable business insights
• Develop and maintain data pipelines using AWS services such as S3, Redshift, and Lambda
• Collaborate with developers, designers, and business stakeholders to define data requirements
• Build and maintain data models, dashboards, and reports to visualize key metrics
• Present findings clearly to technical and non-technical stakeholders
• Lead data-related project tasks and ensure timely, accurate delivery
• Follow data governance and best practices to ensure data quality and security
• Troubleshoot data issues and provide ongoing technical support

What You’ll Be Working On

• Enterprise data analysis supporting business decision-making
• AWS-based data pipelines and data platforms
• Dashboards and reporting for key operational and strategic metrics
• Cross-functional analytics initiatives

Required Skills & Experience

• Bachelor’s degree in Computer Science, Information Technology, or related field
• 3–5 years of experience in a Data Analyst role
• Strong proficiency with AWS services (S3, Redshift, Lambda)
• Strong SQL skills and database management experience
• Experience with data visualization tools (Tableau and/or Power BI)
• Excellent analytical, problem-solving, and communication skills
• Ability to manage tasks independently while collaborating across teams

Preferred Qualifications

• Experience with machine learning or AI tools
• Familiarity with Python or R
• Knowledge of data warehousing concepts and ETL processes
• 3 years of Big 4 consulting experience (preferred)
• Stable work history within large enterprise organizations