Job
Description
Job Description If you have a passion for analytics and a desire to leverage product data to shape the product roadmap, this role is for you. As a product analyst, youll collaborate with Product & Engineering, along with a few cross-functional teams, to provide data-led decision-making support for the product. The ideal candidate should feel comfortable working with complex data, understand product implementation, confidently navigate ambiguity in business processes, and have hands-on experience in data analysis. Moreover, the ability to translate data into practical insights to assist Product Management with a strategic lens is essential. Familiarity with basic product metrics will be key. NOTE: This is an individual contributor role with a career path to grow into a SME. Take ownership of end-to-end product analytics autonomously. Act as a Product Owner to drive instrumentation goals, ensuring constant updating of product telemetry. Demonstrate the ability to comprehend complex data and product landscapes, and a willingness to navigate ambiguity, simplifying them for product management. Collaborate daily with Product Managers, Engineering, TPM, and Operations. Engage in cross-functional interactions with Marketing, Customer-facing teams, and senior leadership on product-centric, cross-functional business requests as needed. Apply strong database skills to extract insights from large, intricate datasets. Filter and refine unstructured (or ambiguous) data into usable datasets, which can be analyzed to extract insights and enhance business processes and product decisions. Extract value from existing analytics frameworks and step in to construct new ones as required by the business. Provide reports on product health and feature benchmarking. Identify optimization/at-risk areas for customers using product telemetry, incorporating a blend of heuristics and predictive models. Monitor product adoption KPIs and connect them with adjacent business data models to uncover expansion and retention opportunities. Communicate findings to stakeholders and spearhead initiatives aimed at improving business performance. Qualifications Sound knowledge of standard descriptive statistical techniques and proficiency in using predictive analytical models when necessary. Excellent communication skills, including the ability to storyboard and present insights concisely. Hands-on experience with DBMS systems and proficiency in framing SQL queries for complex data manipulation. Expertise in creating and automating data workflows. Proficiency in Python and R for building predictive and exploratory analytical models. Ability to craft compelling narratives with data using appropriate visuals and hands-on experience in building and maintaining dashboards using tools such as Power BI, Looker, Tableau, Sisense, etc. Proven track record of collaborating with stakeholders and delivering analytics projects with measurable impact. Ability to act as a Product Owner, driving instrumentation and telemetry for new features. Experience with text mining, recommender systems, and social media analytics is an added advantage.
