Data Analyst - Pittsburgh, PA

Bachelor's or Master's degree in Computer Science, Information Science, Information Systems, Data Science, Business Analytics, Statistics, Data Management, or a related field.

7+ 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.

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