Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analyst in the United States.

The Data Analyst will play a pivotal role in designing and implementing technical solutions that leverage cloud, automation, and AI technologies. You will collaborate with enterprise teams to develop scalable data platforms, data warehousing solutions, and AI-driven models that support strategic decision-making. This role requires both hands-on technical expertise and the ability to contribute to client-facing initiatives, including solution design, technical writing, and proposal development. You will influence project strategies, optimize data storage and access solutions, and identify opportunities for machine learning and automation. The ideal candidate thrives in a dynamic, innovation-driven environment and possesses a strong foundation in cloud architecture, data engineering, and analytics.

Accountabilities:

• Contribute to the planning and execution of enterprise data strategies and technical solutions.
• Design, develop, and maintain scalable cloud and data infrastructure, primarily using Azure (preferred) or AWS.
• Build and optimize data warehousing solutions and implement ETL processes to ensure high-quality data access.
• Identify, develop, and implement AI and Machine Learning opportunities to enhance analytics capabilities.
• Assist client delivery teams in technical solutioning, deployment, and integration based on business requirements.
• Produce technical documentation, proposals, and white papers to support business development initiatives.
• Apply industry best practices and standards to maintain data security, integrity, and governance.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related analytical field.
• 7+ years of experience in data analytics, with at least 2 years focused on data warehousing and storage at an enterprise scale.
• Hands-on experience with cloud architecture (Azure preferred) and cloud services deployment.
• Proficiency in programming languages such as Python and experience with back-end architecture or API development.
• Familiarity with AI and Machine Learning concepts, automation, and cloud-based data solutions.
• Strong communication skills to convey complex technical concepts to technical and non-technical stakeholders.
• Experience in proposal solutioning, technical writing, and client-facing engagements.
• Relevant certifications in Azure or other cloud platforms preferred.

Benefits

• Competitive compensation package.
• Comprehensive healthcare coverage: medical, dental, and vision insurance.
• 401(k) plan with company match.
• Paid company holidays and flexible time off programs, including parental and caregiver leave.
• Professional growth opportunities, including training, certifications, and mentorship programs.
• Wellness and mental health benefits.
• Flexible work options and commuter benefits.
• Recognition programs, including peer awards and service milestones.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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