Senior Data Analyst; w2

Minimum 10+ Years of Experience required.

Skills:

• Bachelor's or Master's degree in Computer Science, Information Science, Information Systems, Data Science, Business Analytics, Statistics, Data Management, or a related field.
• 10+ years of experience in analytics, reporting, business intelligence, data management, or related disciplines.
• Strong expertise in SQL, Python, dashboarding, and campaign analytics.
• Experience with Power BI, Tableau, cloud data platforms, ETL processes, and data governance.
• Experience working with large-scale enterprise datasets and cross-functional business stakeholders.
• Exposure to cloud data storage platforms such as Azure Data Lake, AWS S3.
• In addition to other duties/functions, this position requires full commitment and support for promoting ethical and compliant culture.
• More specifically, this position requires integrity, honesty, and respectful treatment of others, as well as a willingness to speak up when they see misconduct or have concerns.

Responsibilities:

• Design, develop, and maintain recurring and ad-hoc reports to support business and campaign objectives.
• Perform data analysis to identify trends, opportunities, and actionable insights.
• Build and enhance dashboards and visualizations for business stakeholders.
• Support campaign analytics, measurement, and performance tracking.
• Collaborate with business teams to gather reporting requirements and translate them into analytical solutions.
• Develop and optimize SQL queries for data extraction, transformation, and reporting.
• Utilize Python for data manipulation, automation, and advanced analytics.
• Support the integration of cloud storage and data platforms into reporting and campaign processes.
• Ensure data accuracy, consistency, and governance across reporting systems.
• Present findings and recommendations to technical and non-technical stakeholders.
• Work closely with cross-functional teams to improve data accessibility and analytical capabilities.
• Support testing and deployment activities as required.
• Assist in developing and then meet agreed-upon deadlines and perform other project duties as assigned. Single point of contact for data related questions, and quality.
• Communicate technical and non-technical information clearly, concisely, and effectively both.