Senior Business Analytics Analyst

Req ID -

• Conduct in-depth data analysis to identify opportunities for revenue and subscriber growth, churn reduction, product portfolio optimization, and improved profit margins.
• Use innovative and efficient ways to extract and analyze relevant data and metrics from across the organization, and deliver insights that enable decision making, enhance customer experience, and drive better business outcomes.
• Design and develop advanced analytical models and interactive dashboards or tools to identify trends, build forecasts and provide insights for optimizing performance.
• Utilize data visualization tools to communicate complex data insights in a clear and concise manner to both technical and non-technical audiences.
• Develop and maintain strong relationships with IT, finance, and other departments to ensure smooth data access and integration, as well as to build an overall story of what the data is telling about the business.

• Bachelor s degree in a technical field with 5-7 years of Analytics related work experience (or relevant Masters degree/MBA with 3-5 years experience).

• Experience with analytics tools and methods (e.g., using BI tools and coding techniques to extract insights, experimentation frameworks like A/B testing, attribution models, measuring incrementality of business actions, statistical approaches for segmentation, classification, and prediction etc.). Prior experience with Gen AI tools will also be desirable.
• Proficiency with Advanced Excel is important. Proficiency in SQL, Apache Spark, Python, R (multiple preferred) is an important pre-requisite to query, transform/compute and analyze the data.
• Ability to effectively influence, communicate and present cross-functionally with colleagues and leaders globally. Concise and engaging storytelling skills with Data visualization (Charts/Graphs) and PowerPoint.
• Ability to speak with confidence and credibility to business decision-makers about the value of analytics without being too technical, with data scientists and other analysts globally about analytics methodologies to answer questions, and with the Data Engineering/IT side of the organization about data access integration.
• Strategic approach to solve problems, with proven demonstration of depth and breadth on multiple topics of interest in the business. The execution should be agile efficient.
• Experience working in global multinational organizations is desirable. Prior exposure to the B2B Software-as-a-service (SaaS) subscription-based business model is a plus. Developing awareness and understanding of the Barracuda business strategy and wider industry landscape is expected as part of working in this role.

• Prior experience with Databricks, PowerBI and Salesforce will be desirable but not mandatory. Experience with data visualization applications such as Tableau, R Shiny, Alteryx or QlikView etc. is also relevant.