Data Analyst – Specialist

Role Overview

• Partner with internal stakeholders to understand strategic objectives, define data-driven approaches, and lead high-impact analytical projects that align with business goals.
• Extract, clean and integrate structured and unstructured data from multiple sources, ensuring data accuracy, consistency and reliability for business use.
• Conduct in-depth statistical analysis and predictive modeling to uncover trends, correlations and insights that drive business growth and operational efficiencies.
• Work with AI technology to implement large language models and advanced analytics techniques to support strategic initiatives such as customer segmentation, demand forecasting and risk assessment.
• Build and automate interactive dashboards, real-time reports and data visualization tools using Power BI, Tableau, or similar platforms to enable data accessibility across teams.
• Ability to synthesize complex data into meaningful stories, actionable insights, and strategic recommendations for business stakeholders.
• Act as a subject matter expert on data analytics, providing mentorship, training and guidance to junior analysts to strengthen the organization’s analytical capabilities.
• Automate and streamline recurring data analysis and reporting workflows using SQL, Python, and other programming tools to improve efficiency and reduce manual effort.
• Collaborate with leadership to design and implement data-driven strategies, presenting insights in a clear and compelling manner to both technical and non-technical audiences.

Requirements

• Minimum 6 years of relevant work experience, with at least 3 years in advanced analytics, statistical modeling or business intelligence.
• Bachelor’s degree (B.E./B.Tech) in Computer Science, IT, Business Intelligence and Analytics, Statistics/Mathematics, or a similar field.
• Expertise in SQL for data querying, performance optimization, and database management.
• Proficiency in Python or R for statistical analysis, automation, and machine learning model development.
• Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data lakes and big data processing tools.
• Ability to translate complex data insights into clear and actionable recommendations for business stakeholders.
• Must be eligible to work in the United States.

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform
• Python
• SQL
• Tableau

Benefits

• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development