Okay, I've searched for Data Solutions Engineer roles in New York within the finance industry, requiring a minimum of 5 years of experience and expertise in SQL and ETL processes. I found 112 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Data Solutions Engineer role at Preql is primarily focused on enabling enterprise customers to leverage their financial and operational data for insightful decision-making. This position is crucial in bridging the gap between technical data capabilities and practical business needs, translating complex data requirements into tangible solutions without requiring extensive engineering involvement. Key responsibilities include understanding customer data needs, onboarding users to the Preql platform, and collaborating with cross-functional teams (engineering, product, design) to ensure seamless integration and data quality. The ideal candidate will showcase a blend of technical prowess, particularly in ETL processes, data integration, and proficiency in SQL, alongside strong interpersonal skills to effectively communicate with business stakeholders. Success in this role means not only helping clients realize the full potential of their data but also contributing to the overall vision of Preql amidst its rapid growth phase, thus making an impactful difference in how businesses handle their data.

Company Analysis:

Preql operates at the intersection of finance and technology, providing a streamlined, AI-powered data platform specifically designed for finance teams. Given its focus on unifying data and automating processes, Preql occupies a growing niche that's essential for modern businesses—particularly during a time when data-driven decision-making is paramount. The company is on a trajectory of rapid scaling, back by well-known venture firms and seasoned industry founders, which suggests a dynamic and innovative environment. The culture likely emphasizes agility, collaboration, and a strong customer-centric approach, ideal for candidates who thrive in fast-paced settings. The Data Solutions Engineer role will offer substantial visibility and influence as part of a cross-functional team tasked with shaping data integration strategies, thus aligning with Preql’s mission to simplify data accessibility for non-technical users. The company's growth aspirations mean that the right candidate will not only contribute to current projects but also play a role in shaping future developments, aligning closely with Preql’s strategic vision of transforming how finance teams manage and utilize data.

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

• Tell me about a time when you had to translate technical data requirements to non-technical stakeholders. How did you ensure clarity?
• Describe an experience where you built an ETL pipeline from scratch. What challenges did you face and how did you overcome them?
• Can you give an example of a situation where you had to collaborate with engineering and product teams to solve a complex data issue?
• How do you prioritize data tasks when supporting multiple customers with varying needs?
• Explain how you would approach onboarding a new customer to the Preql platform. What steps would you take to ensure their success?
• What metrics would you consider when evaluating the effectiveness of a data integration solution?
• How would you handle a customer who is facing challenges in adopting the Preql product effectively?
• Imagine you discover a significant discrepancy in the data after implementing a new ETL pipeline. How would you address this issue?
• Given a scenario where a finance team requests a new reporting feature, what steps would you take to gather and analyze their requirements?
• Why are you interested in working at Preql specifically, and how do you see your skills contributing to our goals?
• How do your values align with Preql's mission to empower companies through accessible data solutions?
• What do you think makes a successful data solutions engineer, particularly in a company like Preql?