Principal Data Insights Specialist

As a Data Analyst at Media.Net, you will be working at the intersection of business, analytics, and machine learning to drive strategic decisions that directly impact company revenue and profitability. Role Overview: You will be responsible for monitoring and analyzing business, customer, and system performance metrics across the advertising ecosystem. Your main tasks will involve analyzing large-scale datasets, evaluating A/B test performance, validating revenue reporting, supporting financial analysis, connecting data across multiple teams, investigating business queries, and contributing to the design of scalable data solutions. Key Responsibilities: - Monitor and analyze business, customer, and system performance metrics across the advertising ecosystem. - Develop and manage reporting frameworks to provide actionable insights to stakeholders and leadership teams. - Analyze large-scale datasets to identify trends, opportunities, and inefficiencies within the Bidder and Ad Learning funnels. - Evaluate A/B test performance and provide data-driven recommendations for model outcomes and revenue generation. - Validate revenue reporting accuracy and reliability across multiple systems. - Support the development and maintenance of Profit & Loss reporting frameworks and business financial analysis. - Connect data across multiple teams and systems to support strategic decision-making. - Investigate business queries related to data trends, user behavior, event timing, and system performance. - Partner with cross-functional stakeholders to provide analytical solutions for business challenges. - Ensure data integrity, governance, normalization, and quality across reporting systems. - Contribute to the design and implementation of scalable data solutions for organizational growth. Qualifications Required: - Bachelor's degree in Statistics, Mathematics, Economics, or a related quantitative discipline. - 23 years of experience in Data Analytics, Business Analytics, or a related field. - Strong proficiency in SQL and Python for data analysis and automation. - Experience with AI-powered tools such as Claude AI for analytics workflows. - Advanced skills in Microsoft Excel and PySpark or Spark query writing. - Strong foundation in Statistics, Experimental Design, and A/B testing frameworks. - Exposure to AdTech, Digital Advertising, Internet, or Data-driven technology businesses. - Experience in data governance, reporting systems, and dashboard development. By joining Media.Net, you will have the opportunity to deliver accurate and timely business and revenue insights, improve reporting quality and operational efficiency, identify and address funnel inefficiencies, provide meaningful recommendations based on data analysis, and contribute directly to revenue growth and profitability optimization. You will work in a dynamic environment that encourages innovation, learning, and growth while collaborating with various teams to solve complex business problems at scale. As a Data Analyst at Media.Net, you will be working at the intersection of business, analytics, and machine learning to drive strategic decisions that directly impact company revenue and profitability. Role Overview: You will be responsible for monitoring and analyzing business, customer, and system performance metrics across the advertising ecosystem. Your main tasks will involve analyzing large-scale datasets, evaluating A/B test performance, validating revenue reporting, supporting financial analysis, connecting data across multiple teams, investigating business queries, and contributing to the design of scalable data solutions. Key Responsibilities: - Monitor and analyze business, customer, and system performance metrics across the advertising ecosystem. - Develop and manage reporting frameworks to provide actionable insights to stakeholders and leadership teams. - Analyze large-scale datasets to identify trends, opportunities, and inefficiencies within the Bidder and Ad Learning funnels. - Evaluate A/B test performance and provide data-driven recommendations for model outcomes and revenue generation. - Validate revenue reporting accuracy and reliability across multiple systems. - Support the development and maintenance of Profit & Loss reporting frameworks and business financial analysis. - Connect data across multiple teams and systems to support strategic decision-making. - Investigate business queries related to data trends, user behavior, event timing, and system performance. - Partner with cross-functional stakeholders to provide analytical solutions for business challenges. - Ensure data integrity, governance, normalization, and quality across reporting systems. - Contribute to the design and implementation of scalable data solutions for organizational growth. Qualifications Required: - Bachelor's degree in Statistics, Mathematics, Economics, or a related quantitative discipline. - 23 years of experience in Data Analyti