IT Data Analyst at Aviagen

Huntsville, Alabama, United States -

Full Time

Start Date

Immediate

Expiry Date

28 Feb, 26

Salary

0.0

Posted On

30 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Data Visualization, SQL, Python, ETL Processes, Qlik Sense, Data Cleaning, Data Exploration, Analytics Software, Business Intelligence, Communication Skills, Time Management, Problem Solving, Documentation, Debugging, Data Validation

Industry

Food and Beverage Manufacturing

Description

Job Description Summary: Aviagen® stands at the forefront of poultry genetics, pioneering research, and innovation on a global scale. Our broiler breeder brands are among the most recognized and respected in the industry, and each has a proven record of success in addition to a large and loyal global customer base. We seek a qualified IT Data Analyst to use analytical skills and experience to develop enterprise reporting solutions that deliver actionable insights to our global customers. You will work closely with internal stakeholders to understand their questions and needs and then explore their needs for integrated business intelligence. Key tasks will include developing ETL processes, data visualizations, algorithms, and systems, and using your skills to turn disparate datasets into objective answers that help our stakeholders make informed decisions. At the end of the day, you will help our users better understand their data and how it can be used to drive day-to-day business decisions. This position is on-site at our corporate offices in Huntsville, Alabama. Job Description: Responsibilities: Design and develop ETL and data models utilizing multiple sources. Create Qlik dashboards with front-end visualizations that effectively communicate complex data. Use Python to integrate with Qlik Sense through server-side extensions Provide ad hoc analytical support for and participate in solution design sessions with sales, production, logistics, quality, veterinary, and finance teams. Create and maintain documentation of data and reporting sources, process, structure, and metric definition. Job Qualifications: 2+ years of experience with data exploration, data cleaning, data analysis, data visualization 2+ years of experience analyzing structured data sources 2+ years of experience using SQL and analytics software or BI platforms (Qlik, Power BI, Tableau, etc.) Experience debugging, performing data validation, and troubleshooting issues Effective time management and communication skills Capable of holding sessions with stakeholders and team members to solve complex problems Bachelor’s degree in a relevant field Experience with SCRUM, leveraging Python, and/or T-SQL (SQL Server) a plus Experience with Qlik Sense QVD architecture and/or managing Qlik Sense QMC task reload chains a plus Poultry or agriculture industry knowledge a plus Master's degree in Data Science, Computer Science, or other Science, Technology, Engineering, or Mathematics field a plus. Work Authorization: Applicants must be a U.S. citizen or currently authorized to work in the U.S. at the time of hire and must maintain authorization to work in the U.S. throughout their employment with our company. EEOC Statement: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. We play a leading role in feeding the world's future generations. We bring smart, passionate people together and watch amazing things happen! Working at Aviagen presents career opportunities that impact an industry. We encourage people to bring their experience and knowledge and help work on complex issues that will shape the future of the poultry industry. In an environment that promotes innovation and progressive approaches to problem solving, Aviagen is working today to be ready for what tomorrow may bring. Are you ready for the adventure?

Responsibilities

Design and develop ETL and data models utilizing multiple sources. Create Qlik dashboards with front-end visualizations that effectively communicate complex data.