Senior Data Analyst (Retention Analytics Team)
Responder al anuncioSenior Data Analyst (Retention Analytics Team)Analyticslocation_onSpainHi there!We are Semrush, a global IT company developing our own product – a platform for digital marketers. New stars are born here, so don’t miss your chance. This is our Senior Data Analyst role for those who strive to implement functional processes and drive them to full completion. Responsibilities:Supports the development, implementation, and deployment of advanced analytics on Retention division data focused on tools, products, and customer insights. Connect qualitative and quantitative research and analysis to data systems developing analytics for Retention stakeholders. Conduct scenario analysis of product insights and customer behavior to identify data-driven opportunities for improvement of customer retention and profitable growth. Analyze, report, and track information to identify data patterns and customer pain points using multiple sources of data including structured and unstructured customer data, benchmarks, and operational data working closely with the Voice of the Customer Program Manager. Analyze customer segments and product experiences to create meaningful reports and insights to support hypotheses which will drive testing. Provide experienced analysis of existing data and data structures and satisfy ad-hoc reporting/analysis requests. Create reporting specifications for new reports/dashboards/analytical tools and perform testing/validation; ensure integrity, accessibility, and accuracy of reports/dashboards and data structures; review and approve userrequests for access to reporting data and tools. Consult with Retention division staff to identify new business reporting needs and provide guidance and interpretation of complex environments and data. Document data analysis efforts (data sources, reporting specifications, tools, issue/problem resolutions). Perform migration and conversion of data as needed in support of analysis efforts. Take full responsibility for our GCP environment and projects. Use data science principles to drive actionable insights for the business. Ensure UI/UX best practices are applied in dashboards or reports. #J-18808-Ljbffr
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