Data Analyst - Sales & Technical Support

Aviagen•Huntsville, AL

1d•Onsite

About The Position

The Sales & Technical Data Analyst transforms raw data into clear, actionable insights that strengthen customer relationships, improve internal decision-making, and elevate the effectiveness of our Sales and Technical Services teams. This role bridges the gap between complex datasets and practical business applications, delivering visual analytics and reporting that enhance both internal strategy and customer-facing presentations.

Requirements

Bachelor’s degree in Data Analytics, Business Analytics, Statistics, Agricultural Economics, Animal Science, Business Administration, or related field
2+ years of experience in data analysis, business intelligence, or analytics roles
Demonstrated experience supporting commercial, technical, or customer-facing teams in data-heavy environments
Proven track record of translating complex data into actionable business insights
Advanced proficiency in Microsoft Excel (pivot tables, advanced formulas, data modeling)
Strong competency in at least one data visualization platform (Power BI, Tableau, or equivalent)
Experience creating dashboards, reports, and visual presentations for diverse audiences
Comfortable working with large datasets and multiple data sources
Exceptional communication skills with the ability to explain technical concepts in simple, accessible terms to non-technical stakeholders
Strong attention to detail with commitment to accuracy and data integrity
Excellent organizational skills and ability to manage multiple priorities simultaneously
Self-motivated with ability to work independently and collaboratively
Customer-focused mindset with understanding of how analytics support business objectives

Nice To Haves

Experience in agriculture, poultry, animal production, or related industries
Background working with Sales teams, Technical Services, or customer success functions
Knowledge of key performance indicator (KPI) development and commercial metrics
Experience with SQL, Python, R, or other data analysis programming languages
Familiarity with CRM systems (Salesforce, Dynamics, etc.) or ERP systems

Responsibilities

Design and develop clean, intuitive data visualizations from complex spreadsheets and datasets for both internal stakeholders and customer presentations
Build and maintain interactive dashboards, charts, templates, and recurring reports tailored to Sales, Technical Services, and leadership requirements
Translate performance metrics, trends, and patterns into straightforward insights for non-technical audiences
Standardize reporting formats to ensure consistency and professionalism across the organization
Prepare customer-ready analytics packages for field visits, quarterly business reviews, and technical presentations
Collaborate directly with Technical Managers and Sales Managers to refine data narratives, highlight value-creation opportunities, and deliver insights that resonate with customer priorities
Develop compelling visual presentations that position Aviagen as a strategic partner and trusted advisor
Ensure all customer-facing materials meet brand standards and communicate complex information clearly
Partner cross-functionally with Sales & Tech, Marketing, Finance, and leadership to identify data needs and close information gaps
Support strategic initiatives, including Joint Business Development Programs (JBDP), commercialization projects, technical programs, and market analysis
Facilitate data-driven decision-making by providing timely, accurate analytics for business planning and performance evaluation
Serve as a resource for data interpretation and analytical best practices across departments
Maintain clean, accurate, and well-organized data sources with consistent processes for updating and validation
Proactively identify data quality issues, anomalies, or improvement opportunities within production, performance, financial, and customer datasets
Document data sources, methodologies, and reporting processes to ensure continuity and scalability
Recommend improvements to data collection and management practices