Data Specialist

As a Data Specialist at VIA, your main responsibilities will include translating customer knowledge into data infrastructure requirements, designing data ingestion and cleaning processes, and ensuring high-quality data for our solutions. You'll also engage in data visualization to turn raw data into meaningful insights and work collaboratively with other team members on the Agile product delivery team.

To be considered for the Data Specialist role at VIA, you should have at least 2 years of experience in a data-driven position or related research projects. A Bachelor's or Master's degree in science, mathematics, engineering, or a data-centric field is essential. Familiarity with database technologies like SQL or programming languages such as Python/R with data science libraries is required.

The Data Specialist plays a pivotal role in supporting VIA's mission by refining data processes and ensuring accurate data that feeds into various solutions aimed at making communities cleaner and safer. By transforming raw data into actionable insights, you will help the company overcome challenges in data quality and identity protection.

Candidates for the Data Specialist position at VIA should have familiarity with database technologies like SQL and PostgreSQL. Additionally, knowledge of programming languages such as Python and experience with data visualization tools like Plotly or ggplot will be highly beneficial. Experience with data dashboarding tools and data pipelining tools is a plus.

As a Data Specialist at VIA, you can expect a competitive salary ranging between $80,000 and $110,000 annually, depending on your experience and qualifications. This compensation reflects the value we place on data expertise in driving our solutions.

When answering this question, detail specific examples of data ingestion processes you have designed or refined in past roles. Emphasize your understanding of the importance of accurate data entry and various methods you utilized to automate these processes.

Discuss tools and techniques you’ve used for quality control, such as automated testing and manual checks. Emphasize your attention to detail and systematic approach to identifying discrepancies in data products.

This is an opportunity to showcase your technical skills. Mention the specific database technologies, programming languages like Python or R, and any data visualization tools you are skilled in, providing examples of how you've applied them effectively in previous roles.

Use the STAR method (Situation, Task, Action, Result) to outline the challenge, the specific actions you took to resolve it, and the positive outcome. Focus on your problem-solving skills and adaptability.

Share your strategies for continuing education, such as online courses, webinars, or reading industry publications. Demonstrating a proactive approach to learning will show your genuine interest in the field.

Highlight any experiences you had in Agile settings, discussing the dynamics of teamwork and collaboration. Explain how Agile principles influenced your work and contributed to your project's success.

Discuss the process of creating the visualization, the tools you used, and how it effectively communicated insights to stakeholders. Be specific about the outcomes or decisions that were influenced by your visualization.

Talk about your communication and analytical skills, providing examples of how you've collaborated with clients to clarify requirements and align data solutions with their goals.

Describe the techniques you’ve used to automate data cleaning procedures, mentioning specific tools or scripts you've implemented. Highlight how these methods improved efficiency while maintaining high data standards.

Here, convey your passion for data and how it aligns with VIA's mission. Discuss what excites you about the role and the company, emphasizing your desire to contribute to making communities safer and more equitable.