Data Analyst I

Neogen Corporation•Lincoln, NE

1d•Onsite

About The Position

The Data Analyst I plays a key role in supporting the generation, integrity, and delivery of genotypic data. This position collaborates with teams to ensure accurate data transmission to customers via LIMS and FTP platforms, assists in data formatting for downstream analysis, and performs quality control reviews. This role also contributes to process improvement initiatives, supports departmental objectives, and adheres to established Standard Operating Procedures and ISO 17025 standards. Success in this role requires strong attention to detail, effective task prioritization, and a proactive approach to learning and adapting to new tools and workflows.

Requirements

Strong attention to detail
Effective task prioritization
Proactive approach to learning and adapting to new tools and workflows
Familiarity with molecular biology techniques and/or relevant technology platforms

Nice To Haves

Associate’s degree (or higher) in genetics, molecular biology, biology, or a related field preferred.
At least 1 year of laboratory operations experience related to genomics.
Capable of writing routine reports and correspondence and effectively presenting information to supervisors and cross-functional teams.
Familiarity with tools for managing large datasets, quality standards, and network/browser-based applications; intermediate Microsoft Office proficiency.
Skilled in solving practical problems and interpreting standardized instructions delivered in various formats (written, oral, diagrammatic, or scheduled).
Strong attention to detail, ability to prioritize tasks effectively, work collaboratively in a team environment, and demonstrate a willingness to learn and adapt to evolving tools and technologies.

Responsibilities

Ensure the generation, quality, and accuracy of genotypic data.
Collaborate with operations to facilitate data transmission to customers via LIMS and FTP sites.
Partners with internal teams to reformat and structure data for further analysis.
Compile and organize genotypic data sets to support customer reporting and other applicable downstream applications.
Perform data analysis to identify trends, anomalies, or inconsistencies.
Conduct quality control reviews, identify data quality issues, and escalate for troubleshooting.
Maintain advanced knowledge of genotyping analysis software for a single platform.
Understand customer requirements as communicated by management to manage daily workload and data delivery.
Provide input and support to laboratory technicians as needed.
Demonstrate familiarity with molecular biology techniques and/or relevant technology platforms.
Contribute to cost reduction efforts and workflow efficiency improvements.
Follow Standard Operating Procedures and ISO 17025 Quality Standards.
Other duties as assigned by management.