Data Analyst

Emerge•Scottsdale, AZ

About The Position

Emerge is reinventing freight procurement with an award-winning Freight Procurement Platform that helps shippers and carriers make more strategic decisions through real-time connectivity and AI-driven decision-making. Founded in 2017 and located in Scottsdale, Arizona, Emerge is one of the fastest-growing technology startups in the U.S. The Data Analyst extracts, analyzes, and presents data to support informed decision-making and business growth. The role collaborates with various departments, develops reports and dashboards, and contributes to AI-powered data products. It is suited to someone who wants to master analytics fundamentals and expand their impact as their skills and interests grow.

Requirements

  • Strong knowledge of SQL and advanced query writing.
  • Strong understanding of relational and non-relational databases.
  • Firm understanding of data warehouses, ETL processes, and the methodologies behind them.
  • Intermediate-level skill with Excel and Google Sheets.
  • Comfort using AI tools in an analytics workflow, with the judgment to validate AI-generated output against source data and business logic.
  • At least 2 years of professional experience in technical products, preferably with a background in data analytics.
  • Demonstrated ability to create and manage clear documentation.
  • Bachelor’s degree or higher in data science, engineering, computer science, or another related field.

Nice To Haves

  • Experience in the logistics or transportation industry.
  • Experience working with Sigma and Snowflake.

Responsibilities

  • Design and develop reports, dashboards, and visualizations that communicate data-driven insights to executives, department heads, and operational teams.
  • Collect, organize, and analyze large datasets from multiple sources to identify trends, patterns, and key performance indicators.
  • Use data manipulation and visualization techniques to derive meaningful insights.
  • Conduct ad-hoc analyses to answer business questions and support strategic initiatives as requested by management.
  • Create clear, engaging data visualizations using tools such as Sigma or other data visualization platforms.
  • Identify opportunities to automate and streamline reporting processes to reduce manual effort and improve efficiency.
  • Contribute to data quality, data modeling, and documentation efforts that make company data trustworthy and accessible.
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