Okay, I've searched for Business Analyst roles in Oklahoma City, OK that focus on data warehouse projects, require 3-5 years of experience, a Bachelor's degree, and offer vision insurance benefits. I have found 57 positions for you.

Sure. Here's the analysis:

Job Analysis:

This Business Analyst role is fundamentally designed to bridge the gap between business needs and technical delivery in a critical Enterprise Data Warehouse (EDW) project. The successful candidate will be the linchpin connecting diverse stakeholders including business users, technical teams, and data consumers, ensuring that data insights and quality are solid before the EDW development proceeds. Key responsibilities such as Data Current State & Profiling Analysis highlight the need for a deep understanding of data structures, quality issues, and the ability to translate complex data nuances into actionable documentation. Documenting data consumer needs suggests a strategic focus on user-centric delivery, emphasizing communication and stakeholder management. The role’s requirement of experience in both waterfall and agile environments and user story creation reflects the hybrid management of projects, demanding both flexibility and rigor. Working on mainframe data cleanup implies that legacy systems and their intricacies will present challenges requiring patience, collaboration, and strong problem-solving. Success in this role is measured not just by delivering documented requirements but by enabling smooth, error-free data flows that directly impact the quality and reliability of the enterprise’s data assets. A successful candidate is someone with a well-rounded mix of technical data literacy, process and requirements documentation expertise, strong interpersonal skills to manage cross-functional interactions, and the ability to anticipate and troubleshoot the often-messy realities of enterprise data governance.

Company Analysis:

Lensa operates at the cutting edge of career technology, leveraging machine learning and data science to radically improve job search and talent acquisition experiences. Positioned as an innovative and technology-driven company, Lensa prides itself on creating more intelligent, personalized matches between job seekers and employers. This orientation towards data and advanced analytics aligns well with the EDW Business Analyst role, which supports foundational data infrastructure indispensable to sustaining Lensa’s competitive edge. The company culture appears to emphasize inclusivity, authenticity, and continuous innovation, likely fostering an environment where collaboration and individual initiative are appreciated. With a relatively small but technically strong R&D team and multiple U.S. locations, the role sits at an intersection where clear, concise communication and cross-team collaboration are critical. For a candidate, understanding that this is a growth-driven, data-centric organization helps frame the analyst role as a strategic enabler of the company’s broader mission to simplify and humanize job search through technology. The successful candidate will thrive by appreciating the company’s mission-driven approach, working effectively in a tech-forward but user-centered environment, and contributing to robust, scalable data solutions that power intelligent decision-making.

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

• Behavioral: Tell me about a time when you had to analyze and document complex data from multiple legacy systems. How did you ensure accuracy and clarity?
• Behavioral: Describe a situation where you had to reconcile conflicting requirements from different stakeholders. How did you approach the resolution?
• Behavioral: Can you share an example of how you managed change when moving from a waterfall to an agile project environment?
• Behavioral: Give an example of when you identified a data quality issue that had significant business impact. How did you handle it?
• Technical: How do you approach profiling and documenting the current state of data in an enterprise data warehouse project?
• Technical: What strategies do you use to capture user requirements effectively, especially when different teams have varying needs?
• Technical: Describe your experience working with mainframe data systems and any methods you applied to clean and prepare that data.
• Technical: How would you balance the needs of QA testing with ongoing development in an EDW implementation?
• Situational: Imagine you discover discrepancies in data consumption patterns that are causing user dissatisfaction. What steps would you take to investigate and resolve this?
• Situational: You are given incomplete or ambiguous requirements from business users for the EDW project. How would you proceed to clarify and finalize these requirements?
• Situational: Suppose data curators are reluctant to clean data at the source due to resource constraints. How would you work with them to prioritize and address data quality?
• Company Fit: Why are you interested in contributing to Lensa, especially in a role focused on enterprise data infrastructure?
• Company Fit: Lensa emphasizes using machine learning to enhance job search. How do you see the role of a Business Analyst in supporting such an innovative environment?
• Company Fit: How do your work values and style align with a company that prioritizes inclusivity, authenticity, and data-driven decision-making?
• Candidate Questions to Ask Interviewer: How does this EDW project fit into Lensa’s overall data strategy and business goals?
• Candidate Questions to Ask Interviewer: What are the main challenges the current data warehouse faces, and how can this role make a significant impact?
• Candidate Questions to Ask Interviewer: Can you describe the collaboration dynamic between the business analysts, technical teams, and data curators during this project?