Okay, I found Data Analyst roles in Houston, TX that match your criteria: 5+ years of experience, SQL and Python proficiency, skills in Tableau, and a background in the utilities industry. There are currently 45 positions available for you to review.

Sure. Here's the analysis:

Job Analysis:

The SQL Data Analyst role at a natural gas and utilities company is fundamentally aimed at harnessing data to support Electric Business Analytics, driving efficiency and informed decision-making. This means the candidate must be adept not only at technical data analysis—that is, cleansing and merging data, executing SQL queries, and pulling data from various sources—but also at effectively communicating insights to stakeholders. As this position also involves participation in daily stand-ups and weekly sprints, it's crucial for the candidate to embrace Agile methodologies, demonstrating flexibility and adaptability in a fast-paced environment. Success in this role will be gauged by the ability to merge diverse data into cohesive insights, thereby enhancing internal processes and ultimately improving customer experiences. The blend of responsibilities—60% data analytics and 40% reporting and visualization via tools like Tableau and PowerBI—indicates a clear expectation for the candidate to not only analyze data but to translate it into visually compelling formats that can be easily understood by non-technical stakeholders. This dual focus ensures that the individual will be a key player in bridging technical analytics and strategic business outcomes.

Company Analysis:

Lensa, a prominent career platform known for leveraging machine learning to enhance job matching for professionals, is positioned in a rapidly evolving intersection of technology and employment. This innovative approach suggests a culture that values adaptability, continuous learning, and technological prowess. As a candidate, understanding Lensa’s commitment to a user-centric model is critical. The company operates with a belief in inclusivity and the importance of authentic self-expression, which creates an enriched work environment. This cultural backdrop implies that the SQL Data Analyst will not only be contributing to the technical aspects of data analysis but will also embody the values of collaboration and diversity. Situated within the Enterprise Data Analytics organization, this role likely has significant visibility, and the candidate may interact regularly with upper management focusing on leveraging data to inform strategic decisions. Therefore, aligning with Lensa's vision for reducing the friction in job searches could inform how the Data Analyst approaches their analyses, ensuring that their recommendations are not just data-driven but also reflect a deep understanding of user needs and market dynamics. This role is not merely a technical position; it represents a strategic opportunity to contribute to the company's mission and to engage deeply with the analytics that influence both operational and customer insights.

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

• Can you describe a time when you had to cleanse and merge data from multiple sources? What challenges did you face and how did you overcome them?
• Tell me about a project where you used SQL to create meaningful insights from large datasets. What was the outcome?
• How do you ensure data accuracy and integrity while working with multiple data sources?
• Describe your experience working in an Agile environment. How do you prioritize tasks and deliverables during sprints?
• What strategies do you use to present complex data insights to stakeholders who may not have a technical background?
• How would you approach creating a report in Tableau that showcases key performance metrics for the Electric Business?
• What are some best practices you follow when using PowerBI for data visualization?
• If tasked with improving a current customer-facing process using data insights, what steps would you take to gather and analyze the needed data?
• Imagine you are faced with conflicting requests from different stakeholders regarding data priorities. How would you handle this situation?
• Why are you interested in the SQL Data Analyst position at our company specifically?
• How do you believe your previous experience aligns with Lensa's mission to enhance the job search experience?
• What attracts you to working within the natural gas and utilities sector, particularly in our analytics division?
• What do you think are the biggest trends affecting data analysis in the utilities industry right now?
• What questions do you have about the team's current projects and priorities?
• How do you see your role contributing to Lensa's vision of reducing the search time in job searching?