Okay, I've searched for full-time Data Analyst roles in Washington, DC that require a Bachelor's degree, 4+ years of experience in data modeling, proficiency in Microsoft Suite, and skills in Oracle Business Intelligence or Tableau. I have found 72 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Analyst role at The Arcanum Group is fundamentally about transforming raw data into strategic insights through meticulous data modeling and analysis to support diverse business units. This professional is expected to bridge complex business requirements with technical data frameworks by designing scalable, optimized data models that drive robust analytics and reporting. The role demands not only hands-on expertise with conceptual, logical, and physical data modeling but also a strong grasp of enterprise-level tools such as Oracle BI, Tableau, and Power BI, emphasizing the need to make data accessible and meaningful. Collaboration is integral here: working alongside project managers, business analysts, and other data professionals mandates strong communication skills and the ability to distill technical details for varied audiences. Problem-solving involves identifying data discrepancies or performance issues and swiftly resolving them to maintain data integrity and analytics reliability. Success in this role looks like the seamless delivery of accurate, insightful reports that enable business teams to make informed decisions, alongside continual optimization of data architectures aligned with industry best practices. Additionally, familiarity with Agile and SDLC processes implies a dynamic environment where iterative improvements and responsiveness to evolving requirements are expected. The preference for SharePoint management skills hints at a wider responsibility for managing data workflows and collaboration platforms. Overall, this role is a strategic linchpin ensuring that data assets are well-structured, reliable, and serve as an actionable foundation across the organization.

Company Analysis:

Lensa operates at the intersection of career development and advanced machine learning technology, positioning itself as an innovative disruptor in the employment platform space. With rapid growth evidenced by over 10 million registered job seekers and a hybrid workforce spanning the U.S. and Europe, Lensa champions people-first, data-driven approaches to reduce friction in talent acquisition. This culture of innovation and technology-led transformation likely fosters a fast-paced, agile work environment that values problem solvers who can marry technical expertise with human-centric outcomes. For a Data Analyst joining The Arcanum Group (a client of Lensa), this means working within a forward-looking organization that expects not just competent data work, but contributions that elevate how data fuels career matching and analytics capabilities. Given the collaborative nature emphasized in the job description, the role likely interfaces across multiple teams, offering visibility into strategic initiatives and the chance to influence data standards and practices. The company’s mission to simplify and personalize job search aligns directly with the analyst’s responsibility to develop clear, scalable data models that underpin user-centric insights. Candidates thriving here will be comfortable in a tech-savvy, innovative culture that returns value by continuously enhancing data-driven decision-making and operational efficiency.

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

• Behavioral: Tell me about a time when you identified a data inconsistency that impacted business reporting. How did you approach resolving it?
• Behavioral: Describe an instance where you had to collaborate with non-technical stakeholders to understand their analytics needs. How did you ensure clarity and alignment?
• Behavioral: Can you share an experience where you had to manage multiple, competing data requests? How did you prioritize and deliver effectively?
• Behavioral: How do you maintain a positive working relationship with diverse team members, especially when facing tight deadlines or conflicting priorities?
• Technical: Walk me through your process for designing a data model that supports both performance optimization and business analytics needs.
• Technical: How have you utilized Oracle Business Intelligence tools in previous roles to enhance reporting capabilities?
• Technical: Describe your experience with data lifecycle management and how you apply this knowledge in maintaining data warehouse architectures.
• Technical: What strategies do you employ when migrating content and workflows to SharePoint, and how do you ensure continuity and user adoption?
• Situational: Imagine a key dashboard you maintain suddenly shows erratic data with no clear source of error. How would you investigate and fix the issue?
• Situational: A business unit requests a new data model that conflicts with existing standards or capabilities. How would you handle this request?
• Situational: You notice that certain data models are causing performance bottlenecks in report delivery. What steps would you take to optimize these models?
• Company Fit: Why are you interested in working with The Arcanum Group and Lensa specifically, given our focus on data-driven career solutions?
• Company Fit: How do you see your work as a Data Analyst contributing to a company that applies machine learning to improve talent acquisition?
• Company Fit: Lensa promotes a fast-paced and innovative culture. How do you adapt to such an environment while maintaining quality and accuracy?
• Questions for Interviewer: Can you describe the current data team's structure and how this role interacts with other departments?
• Questions for Interviewer: What are some of the biggest challenges your data team has faced recently, and what opportunities are there for this role to make an impact?
• Questions for Interviewer: How does The Arcanum Group support ongoing learning and professional growth for data analysts within the organization?