• Senior Marketing Data Analyst

    Location US-NC-Durham, NC
    Job ID
    # Positions
    Position Type
    Business Group
    SolarWinds MSP
  • Overview

    SolarWinds MSP is the world’s leading SaaS based software developer for IT Service Management Platforms. We develop and operate a set of global SaaS solutions including; Remote Monitoring and Management Systems, Managed Security Solutions, Data Backup, and eMail Security. Our platform is available 24X7 and services thousands of customers worldwide. 

    Our continued success in the market has created the need for a Senior Marketing Data Analyst to support our world-wide marketing organization. 


    The successful candidate will need to:

    • Understand and map the flow of marketing systems, it’s data and relationships 
    • Measure, evaluate, and track key metrics around campaigns
    • Maintain database quality and accuracy 
    • Develop and implement processes and procedures for Marketing to ensure data quality 
    • Track performance against metrics within the year, quarter, month, and week and monitor campaign performance 
    • Utilize data to provide forecasting of key business performance indicators (revenue, trials, leads) 
    • Manage & drive actions with Key Stakeholders to achieve business results, maximize marketing/sales success, and resolve cross-functional issues. 
    • Maintain and reduce data quality issues, develop remediation plans and optimize systems for efficiency 
    • Utilize data analysis to provide insights and understanding of data within the marketing team 


    Experience should include:

    • Bachelor’s degree or equivalent work experience is required 
    • Experience working with Hadoop, R, Python
    • A minimum of 5 years in a marketing, data quality or a sales support role 
    • Strong computer skills with MS Excel, MS PowerPoint 
    • Strong understanding of marketing technology systems (Salesforce, Marketo, Tableau) 
    • Working knowledge of industry and channel practices, market and competitive analysis, financial modeling practices, and familiarity with product cost analysis 

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