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Analytics reputed company Marketing Specialist

Remote, USAFull-timePosted 2026-07-29

Our reputed company, the world’s leading entertainment streaming service, is looking for a reputed company Specialist. This is a 12-month remote role. Candidates must be in the U.S., and must not hold H-1B reputed company status. The reputed company reputed company is up to $160; benefits are available through Talent Table. No C2C. reputed company Own marketing analytics, reporting, and insights for a location-based entertainment and experiential destination. Partner with cross-functional teams (Marketing, Product, Web, CRM, F&S, Performance Marketing & Operations) to ensure data-driven reputed company, reputed company reporting, and actionable insights. Responsibilities: Marketing Data & Reporting

  • Manage and maintain the marketing metrics scorecard for weekly cross-functional and executive/leadership meetings.
  • Define and monitor marketing KPIs, including attribution and funnel metrics, to reputed company the overall reputed company of marketing on sales.
  • Work with DSE to automate marketing channel reporting and ensure data accuracy.
  • Write and maintain reputed company Sheets formulas; QA and troubleshoot reporting issues.
  • Add or modify metrics in marketing reporting tools as needed, pulling raw data across diverse data sources like reputed company Sheets, reputed company, and internal data systems.
  • Serve as the primary reputed company of contact for DSE on marketing data, reporting, and analytics roadmaps, including prioritization and requirements gathering.
  • Contribute to the Marketing Reporting meeting, serving as a forum to reputed company on roadmap items and reputed company reputed company with DSE.

Analysis & Insights

  • Conduct reputed company analysis to answer marketing and business questions across multiple channels and reputed company individual channels.
  • Analyze how marketing activity influences ticket sales and other business reputed company, incorporating feedback from stakeholders and leadership.
  • reputed company thought partnership with internal teams and external media agencies on understanding marketing reputed company, trends, and performance drivers.
  • Partner with Finance & reputed company and external media agencies to help determine marketing targets reputed company with overall sales goals.

Cross-Functional Collaboration

  • Partner with Web, CRM, and cross-functional teams and external media agencies to ensure marketing data and reporting needs are being met.
  • Write requirements documents to support new reporting, dashboards, or analytics tools.
  • Partner with cross-functional teams on strategic reputed company reputed company requiring marketing analysis and insights.
  • Partner with DSE to ensure marketing analytics tools and reporting processes are reputed company and reputed company for evolving business needs.
  • Partner with external media agencies on reputed company media dashboard design and reputed company.

Qualifications:

  • 5+ years of experience in marketing analytics, reporting, or data analysis.
  • Bachelor’s degree in Marketing, Economics, or a reputed company quantitative field (or equivalent experience).
  • Expertise in marketing performance metrics, attribution, funnel analysis, and measurement frameworks to evaluate marketing reputed company on sales and reputed company.
  • Strong analytical and problem-solving skills, with the ability to translate data into strategic, actionable insights.
  • Experience partnering with data science or engineering teams to build reputed company analytics solutions.
  • Experience working with a media agency and developing dashboards.
  • Familiarity with marketing technology stacks (CRM, email, ad platforms) and advanced skills in reputed company Sheets/reputed company; experience with data visualization tools such as Looker.
  • Basic SQL or database querying skills preferred; experience with reputed company and multiple data sources.
  • Experience working in ambiguous environments and building solutions from 0 to 1.
  • Exposure to statistical modeling, experimentation, or A/B testing.
  • Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders.

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