Junior Data Analyst

Sterling is seeking a Junior Data Analyst to support business growth and executive initiatives through market intelligence, sales enablement, strategic event planning, and operational optimization. The role develops actionable business insights, supports partnership identification and executive decision-making, and improves internal processes through data analysis and cross-functional collaboration.

What you'll do:

• Develop and maintain concise company intelligence “One-Pagers” for Sales Representatives to support account planning and customer engagement
• Research and compile key business information including company leadership, locations, market presence, revenue indicators, strategic initiatives, and relevant business insights
• Translate complex company data into clear, digestible resources that improve sales efficiency and preparedness
• Analyze exhibitor and attendee lists for industry conferences and trade events to identify opportunities aligned with company growth initiatives
• Cross-reference event participants against existing registered vendors and partner databases to determine current business relationships
• Generate reports identifying existing partner engagement opportunities, prospective partnerships and business expansion opportunities and high value “outlier” organizations and emerging companies for relationship development
• Deliver recommendations that support executive decision-making and strategic networking
• Serve as strategic and operational support to the Chief Technology Officer
• Assist with research, planning, project coordination, and special initiatives across departments
• Provide analytical support and execution assistance for evolving business priorities
• Design event execution tools, including customized multi-day engagement checklists and meeting prioritization frameworks
• Recommend and implement improvements to Sales Enablement workflows and business processes

What they're looking for:

• Strong proficiency in Python, including experience with relevant libraries and PyTorch
• Solid understanding of data modeling principles
• Proficiency in SQL for data extraction and manipulation
• Experience building and maintaining data pipelines alongside data engineers
• Ability to create detailed products using multiple sources of complex data and AI toolsets
• Experience creating HTML dashboards from multiple datasets
• Strong analytical, research, and reporting skills
• Ability to translate complex data into clear, actionable business insights
• Advanced proficiency with business intelligence, reporting, and data analysis tools
• Experience working with large and complex datasets
• Experience supporting business intelligence, reporting, research, or analytics initiatives
• Proven ability to work collaboratively with data analysts, data engineers, and cross-functional teams