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Job Analysis:
The position of Jr. Business/Data Analyst at Lensa primarily involves supporting the Location Lifecycle Management team within Customer Operations, an initiative focused on enhancing telecommunications services in rural areas through the RDOF program. The core responsibility of this role will be to extract and analyze data related to customer addresses, ensuring accuracy and identifying discrepancies across various data sources. This entails extensive work with stakeholders to gather business requirements, communicate findings, and present data analyses effectively. In this context, the role requires a blend of technical skills—including proficiency in Excel for data manipulation, and experience with tools such as Tableau for reporting—along with strong soft skills like communication and collaboration. Candidates will likely face challenges in managing cross-functional stakeholder expectations and ensuring data integrity in a fast-paced environment. Success in this role will be marked by one's ability to not only analyze data but also to interpret it for diverse audiences, thus driving informed decision-making within the team.
Company Analysis:
Lensa positions itself as a cutting-edge player in the career technology space, utilizing machine learning to match candidates with job opportunities while streamlining the hiring process for companies. The company's commitment to innovation is reflected in its use of complex algorithms to identify necessary skills and improve job matching, creating a forward-thinking environment that encourages adaptability. Given that Lensa emphasizes inclusion and diversity, candidates who align with these values will thrive more effectively within the company culture. The Jr. Business/Data Analyst position likely places the individual within a collaborative team framework, enhancing the significance of cross-functional communication. As the company is experiencing growth as indicated by the expansion of its user base, the role is poised to contribute significantly to strategic initiatives like the RDOF, showcasing a clear link between data analysis efforts and broader organizational goals. Therefore, candidates should be prepared to adapt to a dynamic work setting, focusing on both team collaboration and individual contributions.