9 дней назад
Data Analytics Intern (Biotechnology)
25$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analytics Intern (Biotechnology): Building data pipelines, Power BI dashboards, reporting solutions, and automation for production, sales, pricing, quoting, and financial data with an accent on data engineering, business intelligence, and actionable analysis. Focus on validating and transforming complex datasets, identifying business trends, and developing analytics solutions that improve processes and support business decisions.
Location: Logan, Utah, United States; the role is on-site, with a remote work arrangement also described as available for eligible roles.
Salary: $25.00 per hour
Company
is a life sciences, diagnostics, and biotechnology organization operating through companies including Cytiva, which develops solutions for biological research, vaccines, medicines, and cell and gene therapies.
What you will do
- Work with Product Managers, Quoters, Core Account Managers, and other stakeholders to solve business problems through data and analytics.
- Build and maintain data pipelines, reporting solutions, and business intelligence tools.
- Develop Power BI dashboards and transform raw data into reliable, actionable information.
- Own analytics projects from concept through implementation.
- Analyze production, sales, pricing, quoting, and financial data to identify opportunities and improve business results.
Requirements
- On-site work in Logan, Utah, United States is required for the role.
- Pursuing a degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Finance, Engineering, or a related field.
- Ability to analyze complex data, think critically, and translate findings into actionable recommendations.
- Strong organizational skills, self-motivation, and willingness to own projects through implementation.
- Interest in data engineering, automation, business intelligence, and analytics.
Nice to have
- Experience with Power BI development, data modeling, and dashboard design.
- Experience with SQL, Python, automation, or data engineering projects involving large datasets.
- Experience building data pipelines, data validation processes, or reporting infrastructure.
- Experience working with operational, financial, sales, pricing, or production data.
Culture & Benefits
- Culture focused on belonging, continuous improvement, and tangible impact in life sciences.
- Paid time off and medical, dental, and vision insurance for eligible employees.
- 401(k) benefits for eligible employees.
- Flexible and remote work arrangements may be available for eligible roles.
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