[Remote] Data Analyst
Note: The job is a remote job and is open to candidates in USA. Aaratech Inc. is a technology-driven organization focused on delivering innovative solutions across cybersecurity, healthcare, and enterprise domains. The company is seeking a Data Analyst – AI & Automation to analyze complex datasets, develop automated reporting processes, and support AI and automation initiatives. The role will generate actionable insights, improve operational efficiency, and collaborate with business, engineering, and technology teams.
Responsibilities
- Collect, analyze, and interpret large datasets to identify trends and business opportunities
- Develop dashboards, reports, and automated data workflows using Business Intelligence tools
- Support AI and automation initiatives by preparing, validating, and analyzing data
- Collaborate with business, engineering, and technology teams to deliver data-driven solutions
- Ensure data quality, accuracy, and consistency across reporting platforms
- Present analytical findings and recommendations to stakeholders
Skills
- • Bachelor's degree in Data Science, Computer Science, Information Technology, Business Analytics, or a related field
- • 3–4 years of experience as a Data Analyst or Business Intelligence Analyst
- • Strong experience with SQL, Microsoft Excel, and data visualization tools
- • Experience working with large datasets, automation workflows, and reporting solutions
- • Strong analytical, communication, and problem-solving skills
- At this time, we are only able to consider candidates who are authorized to work in the United States without sponsorship
- • Experience with Power BI, Tableau, or similar Business Intelligence tools
- • Knowledge of Python or R for data analysis and automation
- • Familiarity with AI, machine learning, or predictive analytics concepts
- • Experience with cloud platforms such as Azure or AWS is a plus
- • Any certifications such as Microsoft Power BI Data Analyst Associate, Google Data Analytics Professional Certificate, or Azure Data Fundamentals are a plus
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