Responsibilities

• Support the BI and Reporting team with project management across reporting initiatives, media platform review, and data validation.
• Help manage relationships with external vendors for ETL, data aggregation, and API connectors.
• Work closely with media specialists and client services teams to understand client reporting requirements and translate them into actionable deliverables.
• Collaborate with development and visualization teams to deliver reporting solutions, dashboards, and visualizations that effectively communicate insights to stakeholders.
• Support the media buying team, programmatic SSP, and DSP by providing data-driven insights and recommendations for campaign optimization and targeting strategies.
• Contribute to the development of analytics products that generate revenue for the company, leveraging your expertise in data visualization to enhance the user experience and value of these products.
• Perform data analysis and exploration to uncover patterns, trends, and insights within large datasets related to digital marketing campaigns.
• Support statistical analysis and reporting on campaign performance, using regression and forecasting methods where applicable, to help inform data-driven recommendations

Requirements

• Bachelor's degree in a relevant field such as Business Intelligence, Data Analytics, Statistics, Mathematics, or Computer Science.
• 3+ years of experience in digital marketing analytics, with a proven track record of success.
• Experience working with media buying teams and programmatic platforms (SSP, DSP)
• Experience with project management, media platform review, and data validation processes.
• Knowledge of statistical analysis techniques, regression analysis, and forecasting.
• Experience in translating complex data into compelling data visualizations using Tableau.
• Experience with cloud data warehouses (e.g., Snowflake, Google BigQuery, AWS Redshift) with good knowledge of relational databases.
• Proficiency in analytics languages such as Python and SQL and comfort with legacy systems.
• Familiarity with data visualization best practices and principles, with a keen eye for design aesthetics and effective data communication.
• Ability to indentify and derive actionable insights from complex datasets and effectively convey that information to both technical and non-technical stakeholders.

Benefits

• Health, dental, and vision insurance.
• Paid time off and holidays.
• Opportunities for professional development and career growth.
• Culture: A fast-paced, professional, and mission-driven work environment.
• A creative and collaborative work environment where your ideas and contributions are valued.
• Company paid Basic Life and Accident Insurance Plans
• Supplemental Policy Plans
• Employee Assistance Program
• Employee Discounts Program
• Paid Parental Leave