Data Acquisition QC Specialist - *TEMP TO PERM*

As a Data Acquisition QC Specialist at MedPro, your primary responsibilities will include participating in the testing and monitoring of data extraction processes, managing execution, evaluating these processes for necessary updates, and troubleshooting using your analytical skills. You'll collaborate closely with both project leaders and developers to understand business needs and facilitate enhancements, ensuring that the extraction processes run smoothly.

To apply for the Data Acquisition QC Specialist position at MedPro, candidates are required to have a Bachelor’s Degree in Computer Science or a related field. It's an entry-level role, which means no prior coding experience is necessary, though knowledge of Oracle SQL and PL/SQL is preferred. Candidates should also possess strong analytical and problem-solving skills, along with excellent communication abilities to work effectively both independently and in a team.

The career path for a Data Acquisition QC Specialist at MedPro is enriching. Starting in this role allows you to gain hands-on experience with data quality and extraction processes. With the opportunity for permanent placement after the temp period and access to professional development programs, you can grow your career while developing key coding and analytical skills that can lead to advanced roles in data quality assurance or software development within our organization.

As a Data Acquisition QC Specialist at MedPro, you can expect a competitive benefits package that includes medical, dental, and vision coverage, a health savings account, generous paid parental leave, and both short-term and long-term disability options. Additionally, you'll have access to a 401(k) plan with profit sharing, 11 paid holidays, a generous PTO policy, and opportunities for professional development, all aimed to support your personal and work-life balance.

For the role of Data Acquisition QC Specialist at MedPro, key skills include a passion for data quality, analytical thinking, effective problem-solving, and strong written and verbal communication. While no coding background is required, familiarity with Oracle SQL, scripting languages, and tools like Jira and Slack will enhance your effectiveness in the role. Being self-motivated and able to manage multiple tasks is also critical for success in this fast-paced environment.

When asked about a project related to data quality, highlight specific instances where you identified quality issues, the steps you took to resolve them, and how this impacted the overall project success. Emphasize your analytical skills and teamwork during this process.

Be prepared to discuss your experience with tools and technologies such as Oracle SQL, PL/SQL, and any other relevant software like Jira or Confluence. If you don't have direct experience, express your willingness and capability to learn them quickly.

Discuss a systematic approach to prioritization, such as using tools for task management or setting clear deadlines for yourself. Employers value candidates who can manage their time effectively and maintain focus on crucial tasks while being adaptive to change.

Speak to your knowledge of how data extraction works, including the steps involved, common challenges, and quality assurance practices. Even if you lack direct experience, showing a foundational understanding and eagerness to learn more will reflect well.

Express that you view feedback as a critical tool for growth and improvement. Share an example of a time when feedback helped you enhance your skills or project outcome, demonstrating your adaptability and commitment to learning.

Discuss your passion for data quality and how it affects overall business success. You can mention your commitment to delivering accurate and reliable data, which drives organizational decisions, as a motivational factor.

Outline a structured decision-making process involving data analysis, weighing options, and considering team input. Highlight any specific methods or tools you use to facilitate this process, showing that you approach decision-making logically and effectively.

Mention specific resources you utilize, such as industry publications, online courses, or professional networks. Indicate your commitment to continuous learning and how you apply new knowledge to your work as a Data Acquisition QC Specialist.

Provide a concrete example of a technical issue you faced and the steps you took to diagnose and fix it. This shows your problem-solving skills and ability to think critically under pressure.

Share your aspirations regarding advancing within the field of data quality and your desire to build expertise in related areas. This communicates motivation and ambition, demonstrating that you view the role as a stepping stone for growth.