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Job Location: St Louis, MO
About Benson Hill
Benson Hill empowers innovators to develop more healthy, tasty and sustainable food by unlocking the natural genetic diversity of plants. Benson Hill’s CropOS™ platform combines machine learning and big data with breeding techniques and plant biology to drastically accelerate and simplify the product development process. This platform allows for cost-effective and more efficient ways for companies to analyze and make improvements in plant genetics. Benson Hill brings a unique and holistic approach to our product and platform development, as we span a broader workflow involving trait and seed development, genome editing, and breeding all the way to creating better ingredients and varieties that tap a strong consumer demand for more flavorful and nutritious fruits and vegetables. More information can be found online at www.bensonhill.com. Follow us on Twitter at @BensonHillInc.
Our Purpose and Core Values
Our Core Values are a set of common principles we share that are fundamental to our company’s identity.
- Be Bold! We redefine boundaries by providing new solutions to difficult problems. Together we are driven to transform the future and will not allow the fear of failure to prevent us from innovating. We voice our opinions, embrace change, and challenge each other to think creatively.
- Be Inspired! We redefine boundaries by providing new solutions to difficult problems. Together we are driven to transform the future and will not allow the fear of failure to prevent us from innovating. We voice our opinions, embrace change, and challenge each other to think creatively.
- Be Real! We understand who we are, what we want to achieve, and what it takes to get there. We hold each other accountable through timely, candid, and well-intentioned feedback. Together we engage in honest communication and healthy debate that leads to success through true alignment.
Department Overview
Benson Hill is looking for a passionate and proven Data Analysis Intern to be part of our Tech Acceleration team. This position will work with R&D and Technology Acceleration team members to understand end-to-end process workflows, and drive and contribute to data analytics work products in order to scale product development.
Position Summary
This role will be responsible for data analytics and pipeline modeling and will work collaboratively with the Technology teams to translate business needs into the development of data and analytical work products to support Benson Hill R&D activities.
You will be responsible for: (Essential Duties and Responsibilities)
- Identify gaps and opportunities for development of new technology, systems, and approaches to enable data acquisition and integration to accelerate R&D activities
- Work directly with key data pipelines and datasets to validate quality and process. Develop interpersonal relationships to effectively push on Business Functions to drive improvement and change as needed
- Collaborate with cross-functional partners to develop clear and measurable business metrics, track and analyze trends in the KPIs.
- Designing, implementing, and maintaining custom reporting and visualizations using BI tools (Quicksight, etc.)
- Execute SQL queries or Python Scripts to extract data from data warehouse and business applications to support reporting and analytics.
- Provide ad-hoc analysis and reporting to other departments
- Communicate data insights and findings with other cross-functional teams
- Model BH product pipelines, to ensure transparency of the product pipelines and enable then to running efficiently and be fully optimized
- Work closely with other departments to gather new data and leverage existing data to make our CropOS product better for us and our customers
You Have:
(Competencies And Qualifications)
- B.S. in life science, data science, computer science, or other technical field
Experience
- Experience analyzing processes, data, or systems to identify opportunities for scale, analytic lift, or automation.
- Experience examining data objects and modeling their implications for on biological & pipeline factors
- Experience with BI reporting tools (Quicksight, Tableau, Spotfire)
- Scripting experience in (Python, R)
- SQL experience and experience using to derive insights on performance or operations data
- Proficiency in data analysis and research methods
- Experience with relational databases or NoSql
Preferred Qualifications
- Practical knowledge of data in various forms (data warehouses, SQL, unstructured data environments, HIVE)
- Experience working in a cloud deployment such as AWS is a plus
- Excellent communication skills including the ability to identify and communicate data driven insights
- Experience with working with data teams directly or through external organizations is a plus
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