Data Analyst

Emerge is reinventing freight procurement. Transforming the $800 billion trucking industry, Emerge empowers meaningful logistics relationships through its award-winning Freight Procurement Platform.

Built by freight professionals for freight professionals, Emerge is evolving the procurement process by offering solutions that enable shippers and carriers to make more empowered, strategic decisions that are backed by 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.

As a Data Analyst, you will play a critical role in extracting, analyzing, and presenting data to support informed decision-making and drive business growth. This position requires a strong analytical mindset, advanced technical skills, and the ability to translate complex data into actionable insights. The successful candidate will collaborate closely with various departments, contribute to the development of reports and dashboards, and produce AI-powered data products. This role is a strong fit for someone who wants to master the fundamentals and then expand their impact as their skills and interests grow.

• Design and develop reports, dashboards, and visualizations that effectively communicate data-driven insights to stakeholders, including executives, department heads, and operational teams

• Collect, organize, and analyze large datasets from multiple sources to identify trends, patterns, and key performance indicators (KPIs). Utilize advanced data manipulation and visualization techniques to extract meaningful insights

• Conduct ad-hoc analyses to answer specific business questions or support strategic initiatives as requested by management

• Create visually engaging and informative data visualizations using modern tools like Sigma or other data visualization platforms

• Continuously seek opportunities to automate and streamline reporting processes, reducing manual effort and improving efficiency

• Contribute to data quality, data modeling, and documentation efforts that make data trustworthy and accessible across the company

• 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 working with Excel and Google Sheets

• Comfort using AI tools in an analytics workflow, with the judgment to validate all AI-generated output against source data and business logic

• 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

• Experience in the logistics/transportation industry

• Experience working with Sigma and Snowflake