Marketing Data Specialist

Avenue5Phoenix, AZ
67d

About The Position

The marketing data specialist analyzes and summarizes data to create actionable business intelligence insights. This role leverages data to identify potential marketing service enhancements, monitor current performance, and evaluate best practices. The marketing data specialist works closely with internal marketing teams to review marketing metric-related data and package it for general review.

Requirements

  • Bachelor's degree in marketing, statistics, data analytics, digital marketing, or a related field is strongly preferred
  • Basic understanding of statistical concepts and methodologies is required
  • Three to five years of experience with managing online review sites, social media, reputation management practices, website presence, and lead management required
  • Strong analytical and problem-solving skills and a passion for data are required
  • Mastery in Microsoft Excel is required. Intermediate to advanced level knowledge of other Microsoft Office Suite, including Outlook, Word, and PowerPoint is required
  • Ability to work independently and prioritize effectively in a fast-paced environment is a must
  • Excellent written and verbal communication skills
  • Exceptional project management skills are required
  • Entrepreneurial mindset and go-getter attitude with proven ability to work independently as well as in a team setting
  • Ability to maintain a positive demeanor, voracious appetite to learn new things, and excellent professional judgment
  • Required to complete and successfully pass the Avenue5 Fair Housing and Preventing Discrimination and Harassment training and other courses if assigned
  • Required to maintain a regular schedule, which may also require working outside of the regular schedule, weekends, and non-traditional holidays
  • Exposure to an environment typically found in an office building

Nice To Haves

  • Experience in the Yardi Suite of products, RealPage, or other equivalent systems is a plus
  • Experience using AI and machine learning to drive data-driven insights that inform and optimize our market strategy
  • Some experience working in a digital, creative, and branding agency is a plus
  • Basic knowledge of project management software, such as Wrike, is preferred
  • Experience in Google Drive, Google Docs, Google Analytics, Google Search Console, Microsoft Clarity, and Google Ads is preferred

Responsibilities

  • Assist in gathering and organizing marketing data from various sources, including CRM systems, social media platforms, web analytics tools, internal business intelligence dashboards, and other tools
  • Ensure data accuracy and integrity through thorough validation and verification processes
  • Input data into relevant databases and systems, maintaining consistency and completeness
  • Support senior team members in analyzing marketing campaign performance metrics, such as click-through rates, conversion rates, engagement metrics, cost conversions, and ROI
  • Assist in segmenting customer data and creating internal reporting based on geographic, behavioral, and psychographic attributes
  • Learn and apply basic statistical techniques as well as Excel skills to identify trends and patterns in the data
  • Help prepare reports and presentations summarizing key marketing metrics and findings
  • Maintain documentation of data collection processes, methodologies, and results for future reference
  • Collaborate with team members to ensure clear communication of data insights and recommendations
  • Support A/B testing and experimentation initiatives under the guidance of senior team members
  • Assist in monitoring ongoing experiments and documenting results for analysis
  • Contribute ideas and suggestions for optimizing marketing campaigns based on data-driven insights
  • Actively engage in training sessions and educational opportunities to enhance skills in data analysis, statistical methods, and marketing principles
  • Stay updated on multi-family and basic marketing industry trends and best practices in marketing analytics and data science
  • Seek feedback from peers and supervisors to continuously improve performance and expertise
  • Perform other duties as assigned
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