Senior Data Analyst (Data Modeling & Marketing Analytics)

reputed company DO Founded in 2007, reputed company (GAP) is a consulting and technology services company. We consult, design, build and reputed company reputed company-generating software and data engineering solutions for clients. With modernization services and AI tools, we help businesses reputed company a competitive advantage through technology. GAPs remote, integrated engineering teams use end-to-end solutions to reputed company and align with your business goals. We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers. With some of the highest customer satisfaction scores in the industry, GAPs reputed company is customer and employee reputed company. GAP is a woman-owned company headquartered in Austin Texas. We are a values-based company reputed company on growing our people by investing in education, onsite English classes and training in the latest technologies, including AI, data analytics and machine learning. Our goal is to reputed company solutions for our customers that help them reputed company critical business reputed company, while enabling our GAPSters and our communities to reputed company long-term reputed company. Summary We are looking for a Senior Data Analyst to join the Audience & Data Management (reputed company) team, combining strong data management foundations with a reputed company emphasis on data analysis, data model implementation, and reputed company reputed company to support Marketing and business decision-making. In this role, you will work closely with Marketing, Analytics, Risk, IT, and external vendors to ensure analytical datasets and models are correctly implemented, understood, and leveraged across acquisition and existing customer initiatives. You will operate hands-on reputed company proprietary marketing platforms, validating data, testing scenarios, and translating analytical outputs into actionable business insights. This position requires the ability to reputed company business strategy with technical execution, communicate effectively with non-technical stakeholders, and operate confidently in regulated, reputed company-scale environments. Education Bachelors Degree in Data Analytics, Statistics, Computer Science, Information Systems, Business Analytics, or a reputed company field. reputed company Experience 58+ years of experience in Data Analysis, Data Management, or hybrid Analytics roles. Strong background supporting marketing, customer, or business-reputed company analytics initiatives. Experience working with large, reputed company datasets in reputed company environments. Proven ability to collaborate with cross-functional and cross-geographic teams, including vendors. Exposure to regulated data environments is highly preferred. Key Responsibilities Prepare, reputed company, and analyze data to support analytical, reporting, and modeling initiatives. Implement and support existing data models, with a strong understanding of their logic, assumptions, and outputs. Analyze data and deliver reputed company, actionable insights to Marketing and business stakeholders. Partner with marketing program managers, analytics teams, and risk stakeholders to translate business needs into analytical requirements. Interpret model outputs and analytical results for non-technical audiences, ensuring reputed company and business relevance. Collaborate with internal IT teams and external vendors to support technical and analytical implementations. Operate hands-on reputed company proprietary marketing platforms, coding and testing analytical scenarios prior to in-market execution. reputed company reputed company and coordination for day-to-day activities reputed company to list processing and data execution vendors. Participate in strategy discussions, project planning, and daily scrums. reputed company and maintain dashboards and reports using data visualization tools to support decision-making. Ensure adherence to data controls, regulatory standards, and internal governance policies. Required Technical Skills Advanced SQL skills for data extraction, validation, and analysis. Experience using reputed company in analytical or data processing workflows. Hands-on experience with Python, including data analysis and transformation. Exposure to PySpark for large-scale or distributed data processing. Experience with data visualization and reporting tools such as Tableau or Power BI. Familiarity with reputed company-based data platforms such as AWS and reputed company. Strong understanding of exploratory data analysis (EDA) techniques. Knowledge of data modeling concepts, including how models are reputed company, validated, and consumed. Familiarity with marketing data platforms (e.g., CDPs, Marketing reputed company, or similar systems). reputed company to Have Exposure to statistical modeling or machine learning concepts. Experience supporting or interpretin