Data Analyst

As a Data Analyst at PureSpectrum, you will play a crucial role in conducting product-related analyses, generating reports, and deriving insights. You will operate within the Analytics and Data Science team, reporting directly to the VP Analytics and Data Science in a dynamic and fast-paced environment. The ideal candidate for this position is highly analytical, inquisitive, detail-oriented, and adept at collaborating with global stakeholders, technology partners, and vendors. Your primary responsibilities will include understanding business challenges, formulating and testing hypotheses utilizing appropriate statistical methods, and developing Proof-of-Concept (POC) models. You will be tasked with creating and refining predictive models to construct training datasets, as well as executing end-to-end projects that involve data mining, cleaning, inputting, and transforming from various databases. Collaborating with the engineering team, you will establish pipelines for collecting, storing, and retrieving training datasets. Furthermore, you will work closely with cross-functional teams to prioritize workflows, address data consistency and quality issues, and effectively communicate findings and analyses to technical and non-technical audiences. To qualify for this role, you should possess a Bachelor's degree with a minimum of 3 years of hands-on experience in Data Analysis, or a Master's Degree in Quantitative Economics with at least one year of relevant experience. Proficiency in big data environments like AWS, relational database management systems, and programming languages such as Python, R, and SAS is essential. Previous experience in report and dashboard design, API integrations, and familiarity with databases and BI tools like SQL, mongoDB, QuickSight, Tableau, and Microsoft Power BI will be advantageous. PureSpectrum offers a competitive compensation and benefits package that includes comprehensive health insurance, PF, and a leave policy compliant with statutory requirements. In addition, you will have the opportunity to participate in team events and celebrations, enjoy a casual dress code, and work in a professional yet enjoyable team environment.,