Staff Product Analyst
Freshworks
Bengaluru, Karnataka, India
Job Description About the role: Working as a part of Product Analytics, the role requires you to work closely with senior leadership, product, and customer-facing functions, for helping them make data-driven decisions. Responsibilities ● Lead product analytics charter for one vertical independently ● Lead and execute data analytics projects end-to-end. ● Influencing business decision making by providing quantitative/qualitative data analysis, which brings out insights and trends pertaining to business performance. ● Utilize strong database skills to work with large, complex data sets to extract insights. ● Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes. ● Using advanced analytics and metrics to improve processes and provide data-driven forecasts of potential costs, revenues, and risks of business initiatives. ● Communicating findings to stakeholders and taking initiatives for improving business performance. ● Ensure that data and analysis is presented in a format that is appropriate for a varied audience using data visualization, dashboards, or other methods. ● Collaborate with cross-functional team members to come up with actionable, high-impact insights across product lines and functions. Requirements ● Education and experience: Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over 8 years. ● A passion in helping organizations understand how to solve problems through analytics, with a proven track record of delivering on such projects and bringing business impact. ● Ability to manage simultaneous tasks in a fast-paced, technology-oriented environment often dealing with ambiguity. ● Prior project experience in one or more of the following areas are preferred, but not absolutely required. ● Sound statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, Experimental Design, etc. ● Familiarity with database technologies and tools (SQL/R/Python etc.), data transformation and processing. Work experience with real data for customer insights, business and market analysis will be advantageous. ● Experience with a visualization tool such as Tableau, Power BI, Sisense, Looker, etc. ● Experience with text analytics, data mining and social media analytics is an added advantage. Qualifications 8+ years of experience in product analytics 4+ years of experience in leading analytics projects independently 2+ years of experience in leading/ mentoring junior analysts