Analyze complex datasets and build scalable data solutions that support enterprise decision-making. Blend data analysis, AWS-based data engineering, visualization, and stakeholder collaboration in a fast-paced enterprise environment. Key responsibilities include data analysis, data pipeline development, and data governance.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
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
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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
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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
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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
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