Marketing Science Senior Analyst

Requirements

• Experience with government or military related clients

Benefits

Additional Information

As a Senior Analyst, Marketing Science, you will be the day-to-day analytics point of contact for a dedicated client account, helping turn media, website, customer, and performance data into clear insights and practical recommendations. This role is ideal for someone who enjoys digging into the numbers, asking better questions, and helping clients and internal teams understand what is happening, why it is happening, and what to do next. You will support an account that spans media performance, website analytics, measurement, reporting, data visualization, and activation. You will work closely with analytics leadership, cross-agency partners, and client teams to build reporting, uncover insights, improve measurement, and make sure data is used to guide real marketing decisions - not just decorate slide decks. This position requires candidates to obtain a Level 2 Security Clearance in accordance with U.S. government regulations. As such, only U.S. citizens or permanent residents (Green Card holders) are eligible to apply. Our new hires & employees are the future of our organization, and we want to set you up for long-term success. In an effort to do so, we expect our team to work from an office a minimum of 3 days a week. You will: Expertise in atleast one of the following engineering skills: database management, data architecture (ETL/data integration), setting up data connections with media tools, implementing data governance processes, automated data ingestion. Applied experience with at least oneof the following: data science and statistical programming, testing and personalization, data visualization, analytics tool implementation. Serve as a key analytics partner for one dedicated client account within a broader Marketing Science portfolio. Build, maintain, and improve dashboards, scorecards, recurring reports, and ad hoc analyses across media performance, website analytics, campaign activity, and business outcomes. Turn complex data into clear insights, recommendations, and client-ready stories. Analyze media and site performance to identify trends, explain changes, and recommend optimizations. Support measurement strategy, including KPI definition, reporting requirements, tagging needs, testing plans, and performance frameworks. Partner with media, strategy, creative, technology, UX, account, and project management teams to connect data to broader marketing decisions. Gather, validate, and QA data from analytics platforms, media platforms, dashboards, databases, and other relevant sources. Support website measurement and activation efforts, including tracking requirements, audience insights, personalization, and test measurement. Identify ways to improve reporting processes, automate repeatable work, and make analysis more useful. Present findings to internal teams and clients in a clear, confident, and approachable way. Provide guidance to analysts or associate analysts when needed, including feedback, quality checks, and support on deliverables. You have: 3-5+ years of experience in marketing analytics, digital analytics, media analytics, business intelligence, consulting, or a related field. Experience analyzing media performance, website behavior, campaign results, customer journeys, or digital marketing effectiveness. Strong data visualization and reporting experience, with the ability to build dashboards that are useful after the meeting ends. Experience with analytics and visualization tools such as Adobe Analytics, Google Analytics, Tableau, Power BI, Looker Studio, or similar platforms. Familiarity with media reporting platforms, tag management systems, testing platforms, CRM data, or data activation tools. Strong analytical skills, including the ability to identify trends, diagnose performance changes, and connect findings to business outcomes. The ability to turn ambiguous questions into structured analyses, clear recommendations, and practical next steps. Strong communication and storytelling skills, especially when explaining data to non-technical audiences. High attention to detail and a strong sense of ownership over data accuracy, deliverable quality, and deadlines. Experience working with SQL, Python, R, Excel, or other tools used to clean, query, analyze, or automate data. Curiosity, collaboration, problem-solving instincts, and the judgment to know when a number is meaningful versus simply loud.

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Company Intel

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