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Business Analyst Intern

Job Title: Business Analyst Intern

Location: 333 S Rio Grande St, SLC UT

Start Date: Immediate

Company: Kolosis BIO

About Us: Kolosis BIO is a global pure-play biologics company that represents and commercializes allograft technologies from MTF Biologics, Evergen and Organogenesis. Our promise is to provide best-in-class technologies to patients while delivering relentless responsiveness to our sales and clinical partners.

Job Description: We are seeking a motivated Business Analyst Intern to join our dynamic team. This internship offers an opportunity to work on real-world projects, gain hands-on experience in data analysis and business analytics, and contribute to our data-driven decision-making process.

Key Responsibilities:

  • Assist in collecting, cleaning, and analyzing large datasets to uncover insights.
  • Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
  • Participate in the development and enhancement of data pipelines and data warehousing solutions.
  • Help visualize data findings for presentations to stakeholders.
  • Contribute to the documentation of processes and results for reproducibility and knowledge sharing.

Qualifications:

  • Currently pursuing or recently graduated with a degree in Computer Science, Statistics, Mathematics, Data Science, or related fields.
  • Experience with programming languages like Python or Go.
  • Familiarity with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
  • Basic understanding of machine learning algorithms and data visualization tools (e.g., matplotlib, seaborn, Tableau, Plotly).
  • Strong analytical skills with attention to detail.
  • Good communication skills; ability to explain complex data concepts to non-technical team members.
  • Eagerness to learn and contribute in a fast-paced environment.

Preferred Skills:

  • Experience with big data technologies like Hadoop, Spark, or SQL databases.
  • Knowledge of cloud services (AWS, Google Cloud, Azure).
  • Previous internships or projects in data science or analytics.
  • Beginner/Intermediate Python Experience
  • Experience with REST API Frameworks (Flask, FastAPI, Django, etc.)

What We Offer:

  • A collaborative work environment where innovation is encouraged.
  • Mentorship from experienced data scientists and professionals in the field.
  • Opportunities to attend workshops, seminars, and other learning events.
  • Exposure to cutting-edge technologies and methodologies.
  • Competitive hourly wages, part-time position with potential to advance to full-time