SeniorDataAnalyst

## Accountabilities In this role, you will design and implement end-to-end analytics frameworks that ensure accurate measurement across digital products, marketing channels, and customer journeys while enabling actionable insights for business and product teams. You will lead stakeholder discussions to translate business goals into structured data strategies, develop dashboards and reporting systems, and ensure data integrity across platforms. You will also play a key role in experimentation strategy, helping define hypotheses, analyze test outcomes, and recommend optimizations. In addition, you will contribute to AI-enabled analytics initiatives, helping identify opportunities to automate insights, enhance reporting, and improve analytical workflows. Design and implement digital measurement frameworks across web, mobile, CRM, and marketing platforms Conduct analytics audits, tagging reviews, and data quality assessments Build dashboards, reports, and self-service analytics tools using BI platforms Translate business objectives into tracking, KPI, and insight requirements Develop and analyze A/B tests, experimentation programs, and CRO initiatives Troubleshoot data pipeline, tracking, and integration issues across systems Apply AI-assisted tools for insight generation, anomaly detection, and reporting automation Partner with engineering and product teams to improve data architecture and instrumentation Requirements: This role requires deep expertise in digital analytics, data interpretation, and measurement strategy, ideally gained in consulting, agency, or enterprise environments. You should be comfortable working with large and complex datasets, building analytical models, and communicating insights to both technical and non-technical stakeholders. Strong hands-on experience with analytics platforms, SQL, and data visualization tools is essential, along with a solid understanding of experimentation and conversion optimization. Experience with AI-enabled analytics