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Digital Analytics Senior Manager - New York New York

Company: Sotheby's
Location: New York, New York
Posted On: 09/03/2024

As the Digital Analytics Senior Manager, you are responsible for leading the Digital Campaign Reporting as part of the Growth Marketing Team. You will work with the other members of the Growth Marketing Team, particularly the CRM Analyst, to bubble up insights and report on the performance of various marketing campaigns across all paid and organic media channels, as well as the performance of Sothebys.com in relation to those campaigns. You will work closely with cross-functional teams to help inform campaign forecasts, utilize various attribution tools for measuring short-term and long-term incremental impact of marketing investments, provide input on targeting and audience strategies, as well as drive improvements in internal analytics tools.Responsibilities:

  • Being a SME on campaign performance, its effectiveness, key drivers and associated insights while using various tools/solutions, particularly Adobe Analytics, Segment, and Tableau.
  • Provide operational support for Adobe Analytics, ensuring the data going into and out of AA is clean, working with other cross-functional partners to do regular maintenance on the capture of events as well as observing the health of the tool.
  • Provide strategic guidance and actionable insights to optimize marketing campaigns, optimize site landing pages, improve ROI, and drive business growth.
  • Present findings and recommendations to the SVP of Growth and other senior leaders within marketing, effectively communicating complex concepts in a clear and concise manner.
  • Conduct in-depth analysis to identify trends, patterns, and opportunities for optimization of marketing investments and site enhancements.
  • Consult with senior leadership/business partners to understand overall goals/functional objectives, decipher key business challenges, identify tactics to anticipate and mitigate business challenges/issues and develop potential success criteria.
  • Build & maintain strong working relationships across departments or teams based on trust and mutual respect. Communicate with senior stakeholders to balance stakeholder and analytics perspectives.
  • Communicate technical material clearly to a range of audiences and build narratives that provide insight into the factors impacting business performance.
  • Focus efforts on items that have maximum impact on the business.You'll sweep us off our feet if:
    • You have strong working knowledge of Marketing Mix Models, Multi-Touch Attribution Models, Customer Segmentation, and incrementality measurement approaches.
    • You can use SQL and are proficient in R.
    • You consider yourself a power user of Microsoft PowerPoint adept at creating visually appealing and insightful slide decks to effectively communicate complex concepts and analytical findings.
    • You can collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
    • You can partner effectively with internal stakeholders, including data scientists and data engineers.
    • You are curious, proactive, and comfortable working in unstructured environments.
    • You have a passion for working in a fast-paced, agile environment.Qualifications:
      • Bachelor's degree in Engineering, Business, Finance, Accounting, Statistics, or related field and 6 years' experience in data analytics or related field.
      • Expert at SQL and Excel - ability to manipulate large quantities of data to drive business decisions is a must.
      • Strong organizational skills, a strong sense of ownership and accountability, and the ability to lead projects, communicate effectively, and be a self-starter.The proposed base salary for this position ranges from $100,000-$140,000. In addition to base salary, successful candidates are eligible to receive a discretionary bonus, as well as a competitive benefits package. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered.
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