Marketing Data Analyst

Argon Medical Devices IncPlano, TX

About The Position

The Marketing Data Analyst is responsible for collecting, analyzing, and interpreting marketing data to support informed decision‑making and drive business objectives. This role transforms large, complex datasets into meaningful insights and visualizations related to market trends, customer behavior, and marketing performance. The position partners closely with marketing, product development, and other cross‑functional teams to deliver clear, data‑driven insights using advanced analytics and business intelligence tools.

Requirements

  • Bachelor’s degree in Marketing, Analytics, Data Science, Statistics, Business, or a related field required.
  • 2-3 years of experience analyzing marketing, customer, or business data.
  • Experience working with large datasets, multiple data sources, and data transformation techniques.
  • Proven ability to translate complex data into meaningful insights and visualizations for business stakeholders.
  • Business intelligence and data visualization.
  • Proficiency with Power BI, Tableau, and Microsoft Excel.
  • Large dataset manipulation and consolidation.
  • Analytical and critical thinking.
  • Attention to detail and data integrity.
  • Clear written and verbal communication.

Responsibilities

  • Analyze large and complex marketing datasets to support strategic planning, campaign evaluation, and business decision‑making.
  • Manipulate, clean, and consolidate large datasets from multiple sources to ensure accuracy, consistency, and usability.
  • Develop, maintain, and enhance reports, dashboards, and data visualizations using Power BI, Tableau, and Excel to clearly communicate insights to stakeholders.
  • Translate complex quantitative and qualitative data into clear, actionable insights and visual summaries that support marketing and product strategies.
  • Identify market trends, customer behavior patterns, and performance drivers through structured analysis and data exploration.
  • Apply statistical techniques and analytical methodologies to interpret structured and unstructured data.
  • Ensure all data collection, analysis, and reporting activities comply with data integrity standards, internal policies, and applicable privacy or regulatory requirements.
  • Collaborate cross‑functionally with marketing, product, and commercial teams to align analytical insights with business objectives.
  • Continuously improve data processes, reporting tools, and analytical methodologies to increase efficiency and impact.
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