Role Summary & Impact The Senior Analyst is expected to demonstrate hands‑on skills in data management and data visualization, quantitative data analysis, problem solving, statistical modeling, and the ability to develop and analyze business cases. Strong ability to design, customize, and maintain platforms for contract management, business intelligence, and user access. Excellent oral and written communication skills, client focus, and the ability to support and enable teamwork, self‑motivated, and able to operate independently with limited guidance and direction. Key Responsibilities Work with senior level Insights and Analytics staff to develop project timelines and deliverable schedules. Deliver projects independently, but proactively communicate project progress, issues, and deliverables to the Manager and Director. Ensure all client materials meet or exceed expectations (from content to quality) and are delivered on time. Conduct client calls and bring in extended team members when necessary. Establish a strong relationship with day‑to‑day clients through a demonstration of industry knowledge and a deep understanding of client business objectives. Develop creative and media strategies in collaboration with other departments. Develop measurement plans and reports that are relevant to the client’s business and their creative/media testing. Research industry trends and share expertise with the team. Understand budget allocation process for media and fees across media platforms. Required Qualifications and Skills Bachelor’s degree in Marketing, Advertising, Economics, Computer Science, Information Systems, Business Analytics, or related field. Or equivalent professional work experience 2–4 years relevant media work experience; digital media experience required. Strong analytical abilities and quantitative skills. Advanced Excel skills including pivot tables, VLOOKUP, building charts and graphs, etc. Experience with Google Analytics, Adobe Analytics, and other web analytics tools. Knowledge of ad server technology (mainly Google Campaign Manager). Python, R, and SQL experience a plus. Experience with Tableau and Power BI is helpful. Knowledge of media industry research tools like MRI, Nielsen Net Ratings, Ad Relevance, Pathmatics, and Forrester. Strong understanding of media metrics (e.g., buying models, CPV, VCR, GRP) and quantitative business measures. Must be able to lead day‑to‑day large analytical projects. Demonstrated critical thinking and problem‑solving abilities. Program experience: SQL, Excel, data visualization tools. #J-18808-Ljbffr