Data Analyst (Mid)

Key Tasks Responsibilities

Migrate data from various data systems to Cloud environments, organize data and establish or maintain links between datasets to facilitate future data mining

Perform data wrangling and data mining to establish best practices

Analyze data to extract key insights from various data sources for decision making and recommendations

Conduct data analysis with advanced metagenomic assembly and annotation methods

Use DevOps and Agile software development techniques to deliver on our mission to provide high-quality, complete, cloud-based datasets

Collaborate with stakeholders to achieve broader project goals

Qualification Competencies

PhD degree in Microbiology, Genomics, Bioinformatics, Computational Biology, Ecology or related quantitative disciplines,

Fully proficiency with Python, SQL and Linux and shell programming with 3+ years' experience

Experience working on AWS and Azure

Understanding of Database systems and management of large data sets

Knowledge of metagenomic methods and software

Great file organization and documentation skills

Experience and skill in communicating insights derived from data to both technical and non-technical personnel.

Ability to work independently with minimal technical supervision.

Preferred skills/Experience

Knowledge of GitHub for version control

Experience with PostgreSQL, Oracle SQL, and/or other relational database technologies

Basic data management and governance concepts

Experience developing interactive data visualization tool.

Execute responsibilities with knowledge, integrity, commitment, and excellence.