Data Analyst, Specialist

Role Summary

The Data Analyst, Senior Specialist is responsible in driving data-driven decision-making across the organization by leading complex analytical projects, optimizing data processes and delivering actionable insights. This role involves extracting, cleaning and analyzing large datasets to identify trends, measure performance and support strategic initiatives.

What you'll do:

• 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.
• Develop and implement machine learning 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.
• Enhance and optimize data pipelines, ETL processes and cloud-based data infrastructures to improve data processing speed, scalability and performance.
• 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 Python, SQL 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.

• Minimum 8 years of relevant work experience, with at least 4 years in advanced analytics, statistical modeling or business intelligence.
• Bachelor's degree (B.E./B.Tech) in Computer Science, IT, or a Bachelor's in Statistics/Mathematics.
• Expertise in SQL for data querying, performance optimization, and database management.
• Strong 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.

• Minimum of five years related work experience.
• Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.