Product Operation Analyst at Databricks

P-1495At Databricks we are passionate about enabling Data and AI teams to solve the worlds toughest problems from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the worlds best Data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and customer obsessed we leap at every opportunity to solve technical challenges from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And were only getting started.Reporting to the Director Product Operations you will lead key projects collaborate cross-functionally with stakeholders in Engineering Data Science HR and Finance to ensure our systems deliver operational excellence while scaling with the company. This serves as the foundation for data-driven decision making that help drive growth for Databricks. Ideal candidates will have a strong background in business operations with a deep understanding of data management principles and practices.In this role you will be leading and supporting Serverless Networking platform projects where you will work across teams to drive launch of external customer-facing networking features and enhance the underlying networking infrastructure that supports our internal product teamsKey Responsibilities:Build reports and dashboards for monthly quarterly and executive-level reportingOrchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliationsEstablish coding data management and documentation standards and best practicesAct as the connective tissue between Support Product Engineering and Analytics to drive operational alignment product readiness and continuous improvement across support workflowsLead and execute strategic initiatives to scale global Support operations including coverage models KPI frameworks and support process enhancements.Build and maintain dashboards that measure support effectiveness surface product-driven case trends and track customer experience across support channels.Support quarterly and annual planning cycles including headcount capacity modeling and budget alignment in partnership with Finance and Workforce Management.Influence senior stakeholders by turning support and operational insights into clear data-driven narratives that inform product and business decisions.What We Look For:4 years of experience in data and analytics ideally at a SaaS company or large tech companyComfort navigating large datasets using SQL-based tools and delivering dashboards and BI visualizationsAbility to translate complex data into actionable insights the communicate and action those insightsProven track record driving cross-functional initiatives and collaborating across different organizations such as Product Engineering Data Science GTM and Support teamsExcellent communication and stakeholder management skills with an ability to influence without authorityStrong process-orientation and systems thinker with bias for actionData-driven decision-makingExperience working in a high-growth fast-paced environment and managing multiple prioritiesNice to Have:Familiarity with Databricks tools especially for extract/transform/load functionsExperience working on Support Operations for SaaS based companies.Familiarity with tools like Salesforce Zendesk Jira Looker/Tableau and operational workflowsOperations Consulting or Strategy experienceRequired Experience:IC Key Skills Corrosion Inspection,Commerce,Customer Support,Facility Management,AC Maintenance,Asic Employment Type : Full Time Experience: years Vacancy: 1