Okay, I've searched for Data Analyst roles in Pittsburgh, PA, including remote positions, that require 1-3 years of experience and skills in SQL and data visualization tools. I have found 112 positions for you.

Sure. Here's the analysis:

Job Analysis:

The role of Data Analyst/Data Developer at Lensa is fundamentally about harnessing data for actionable insights that drive decision-making within the company. This position is ideal for individuals early in their careers who are eager to dive into the intricacies of data handling and analytics. Key responsibilities include maintaining and enhancing the self-service BI platform, which necessitates iterative improvements to reports and data pipelines. Collaboration with stakeholders to troubleshoot and deliver effective data solutions is central to this role, emphasizing the need for strong communication and a customer-centric approach. Success in this position not only means technical proficiency in SQL, Excel, and data governance but also a proactive attitude towards continuous learning and adapting to the fast-evolving tech landscape. The candidate will likely face challenges related to data accuracy and the integration of multiple data sources. Achieving a smooth functionality of data processes and delivering insightful reports will be crucial in measuring performance in the first six to twelve months.

Company Analysis:

Lensa operates within the rapidly evolving technology-driven hiring ecosystem, positioning itself as a pioneer in leveraging machine learning for job matching. This industry positioning indicates a dynamic work environment that is likely fast-paced and innovation-oriented. The culture at Lensa values integrity, innovation, and customer empowerment, which aligns well with the attributes sought in the Data Analyst role. The candidate will fit within a collaborative team that emphasizes cross-functional cooperation, as the role involves integrating with various stakeholders. Given Lensa's emphasis on rapid technological advancement and quality outcomes, this Data Analyst role will need to support data-driven strategies aimed at optimizing customer experience and operational efficiency. As one of the premier career platforms, Lensa's commitment to a people-first culture suggests a supportive atmosphere conducive to professional development, signifying that the role is not just about skills but also about growth and adaptability within a larger strategic framework.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you tackled a data discrepancy and how you resolved it.
• Can you describe a project where you worked with stakeholders to gather requirements for a reporting solution? How did you ensure their needs were met?
• How have you used SQL to solve a complex problem? Can you walk us through your approach?
• Describe a situation where you automated a process. What tools did you use, and what was the outcome?
• What steps would you take to ensure the integrity and quality of data in an analytical system?
• How would you utilize Power BI to create a dashboard for tracking KPIs in real estate transactions?
• If you were faced with slow data processing times due to large data files, how would you identify and implement improvements?
• Imagine you encounter conflicting requirements from two departments regarding a data report. How would you handle this to ensure both needs are addressed?
• Why are you interested in working for Lensa, and how do you see yourself contributing to its mission?
• What aspects of our company culture resonate with you the most, and why?
• How do you stay current with emerging trends and tools in data analytics?
• What is your understanding of data governance, and how have you applied it in your previous work?
• What questions do you have about our current data analytics tools and technologies?