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Job Analysis:
The Senior Reporting Analyst role at MathWorks is fundamentally aimed at enabling data-driven decision-making through enhanced reporting capabilities using Power BI and Snowflake. The primary responsibilities include overseeing the full reporting lifecycle—from requirements gathering to deployment—and creating innovative solutions that bridge data gaps. Given the complex ecosystem of HRIS and recruiting data, the ideal candidate will need to translate historical data into insightful analytics that can guide business leaders. Key skills such as a solid understanding of people data, experience with Snowflake, and proficiency in SQL and Power BI are essential for success in this role. However, beyond technical know-how, the position demands strong problem-solving abilities and creative thinking to integrate multifaceted data sources into cohesive reports. Candidates will also face the challenge of collaboration, as they need to work not only independently on projects but also effectively partner with various teams across data engineering and HR processes. Success in the first 6–12 months will likely involve not just executing existing reporting tasks, but also innovatively improving the reporting framework to better predict business outcomes.
Company Analysis:
MathWorks occupies a significant position in the technology sector, providing essential software tools for engineers and scientists. This company is characterized by a strong focus on innovation and a culture that nurtures growth and teamwork, aligning with its mission to transform data into actionable insights. The hybrid work model suggests an emphasis on flexibility and work-life balance, important traits in today's work environments. For the Senior Reporting Analyst role, this means the individual will likely be expected to exhibit autonomy while remaining engaged with colleagues to reinforce collaboration. The company’s values, including diversity and continuous improvement, will shape the expectations for how the analyst contributes to team dynamics and project success. This role is strategically important; it serves as a growth-focused position designed to elevate the company's analytics capabilities and directly supports its overarching goals for data-driven decision-making.