Junior Data Analyst

As a Junior Data Analyst at Arkana Laboratories, you will handle a variety of responsibilities including data collection, interpretation, and analysis using statistical techniques. You will conduct full lifecycle data analysis, collaborate with clinical trial teams, develop reports and dashboards, and ensure all data-driven insights align with organizational goals. Additionally, you will support data extraction processes for clinical trials and work closely with stakeholders for effective reporting.

To qualify for the Junior Data Analyst position at Arkana Laboratories, you need to have a Bachelor’s degree from a four-year college or university along with 2-3 years of business intelligence or analytics experience. Relevant certifications are desirable, and proficiency in MS Office and strong Excel skills are essential for performing your duties effectively within the role.

In the Junior Data Analyst role at Arkana Laboratories, you will utilize a variety of analytics tools and technologies including SSRS, Power BI, Alteryx, and Tableau to visualize and report on data. Familiarity with electronic case report forms (eCRFs), statistical programming, and database management tools can also be beneficial in this role.

The Junior Data Analyst at Arkana Laboratories plays a crucial role in supporting clinical trials by assisting with data extraction, management, and reporting. You will help in building databases, designing reports, and ensuring data quality, all of which contribute to the overall success and accuracy of trial outcomes, making your role vital for clinical research.

The pay range for the Junior Data Analyst position at Arkana Laboratories in Little Rock, Arkansas is between $58,000 and $73,000 USD. The exact salary will depend on qualifications and relevant experience, along with an array of competitive benefits offered to full-time employees.

When answering this question, you should highlight specific statistical techniques relevant to data analysis, such as regression analysis, hypothesis testing, or ANOVA. Discuss how these methods apply to real-world scenarios, especially in clinical data management contexts.

In your response, discuss specific projects where you utilized tools like Power BI or Tableau. Explain how you transformed complex data into easy-to-understand visuals and how those visuals impacted decision-making.

Effective responses will highlight your strategies for validating and cleaning data, such as implementing validation rules, performing checks, or using automated tools. Illustrate your methodical approach to maintaining data integrity.

Discuss how you prioritize communication in your collaborations, including how you gather requirements from team members and present your findings. Provide examples of how successful teamwork has led to insightful decisions.

Tell a story about a specific challenge you've faced, detailing the steps you took to resolve it and what you learned from the experience. This showcases your problem-solving skills and resilience in data-centric environments.

Explain your organizational skills and any tools or frameworks you use to prioritize tasks and ensure timely completion. Emphasize your ability to handle deadlines while maintaining quality analysis.

Share how you value feedback from stakeholders and team members. Explain how you incorporate constructive criticism to refine your work and improve future analyses.

Discuss the resources you utilize to stay informed, whether through industry blogs, online courses, networking events, or webinars. Show your commitment to continuous learning and professional development.

Detail your familiarity with database management systems and your approach to designing and maintaining databases. Highlight a project where your database skills made a significant impact.

This is your chance to express a genuine interest in Arkana's mission. Talk about how your values align with their commitment to improving patient care and how you see yourself contributing to that goal.