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3 results for Marketing Analytics Manager in Cincinnati, OH

Data Visualization Specialist
  • Cincinnati, OH
  • onsite
  • Permanent
  • 38000 - 44000 USD / Yearly
  • We are looking for a Data Visualization Specialist to join our team in Cincinnati, Ohio. In this role, you will leverage your expertise in business systems analysis to transform complex data into actionable insights through effective visualization techniques. The ideal candidate will have a passion for understanding business processes and applying technical skills to create impactful data solutions.<br><br>Responsibilities:<br>• Collaborate with stakeholders to analyze business processes and identify data visualization needs.<br>• Design and develop interactive dashboards and reports using tools such as Power BI, Tableau, and Qlik.<br>• Apply best practices in data visualization to ensure clear and accurate representation of data.<br>• Utilize data modeling techniques to enhance reporting capabilities and support business decision-making.<br>• Perform data analysis to identify opportunities for enrichment and aggregation, utilizing tools like Excel.<br>• Work with on-premises or cloud-based data platforms to ensure seamless integration and accessibility of data.<br>• Provide technical expertise and guidance on visualization tools and techniques to team members and clients.<br>• Stay updated on industry trends and advancements in data visualization technologies.
  • 2026-04-17T00:00:00Z
Sales Manager
  • Cincinnati, OH
  • onsite
  • Permanent
  • 80000 - 100000 USD / Yearly
  • We are looking for a dynamic Sales Manager to drive revenue growth and lead sales efforts for our service-based organization in Springdale, Ohio. This role combines strategic planning, customer relationship management, and team leadership to achieve ambitious sales targets. The ideal candidate will have a proven track record in B2B sales and the ability to manage both new business development and existing client portfolios.<br><br>Responsibilities:<br>• Develop and implement effective sales strategies to maximize revenue from new and existing customers.<br>• Actively prospect and qualify leads to identify new business opportunities and close deals.<br>• Manage a portfolio of key accounts, ensuring repeat business, renewals, upselling, and cross-selling opportunities.<br>• Build and maintain strong relationships with customers, acting as a trusted advisor and understanding their unique needs.<br>• Collaborate with technical presales teams to deliver tailored solutions and compelling presentations.<br>• Oversee contract negotiations and pricing discussions to secure profitable agreements.<br>• Provide guidance, coaching, and support to sales team members, fostering a high-performance culture.<br>• Coordinate with sales administration to ensure accurate quotations, order processing, and reporting.<br>• Track and analyze sales performance metrics, market trends, and customer feedback to refine strategies.<br>• Report pipeline activity and sales forecasts to management, ensuring transparency and alignment with organizational goals.
  • 2026-04-17T00:00:00Z
Data Scientist
  • Cincinnati, OH
  • onsite
  • Temporary
  • 57.95 - 67.1 USD / Hourly
  • <p>We are looking for a skilled Data Scientist to join our team on a long-term contract basis. This role involves designing innovative data models, ensuring data quality, and integrating diverse data ecosystems to support advanced audience insights and campaign management. If you have a passion for leveraging big data technologies to drive impactful results, we encourage you to apply.</p><p><br></p><p>Responsibilities:</p><p>• Develop scalable data architectures and pipelines to support real-time audience data processing and activation.</p><p>• Design and optimize graph models for representing complex relationships between individuals, devices, and households.</p><p>• Integrate data from various platforms, including DSPs, SSPs, DMPs, CDPs, and clean rooms, to enable audience onboarding and campaign measurement.</p><p>• Establish and maintain data validation, deduplication, and matching pipelines to ensure data accuracy and compliance with privacy regulations.</p><p>• Collaborate with cross-functional teams, including Data Science, Product, and Ad Operations, to operationalize audience data within workflows and optimization platforms.</p><p>• Build dashboards and monitoring tools to track performance metrics such as data quality, match rates, and audience graph efficiency.</p><p>• Create and maintain data models and pipelines to support household graph development and campaign lifecycle management.</p><p>• Integrate identity provider data with first-party data to enhance audience insights.</p><p>• Ensure data systems are optimized for scalability and performance, managing billions of identifiers across millions of households.</p>
  • 2026-04-17T00:00:00Z