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Key Responsibilities and Accountabilities
Marketing Insight & Revenue Generation
. Lead Revenue-Driven Site Initiatives: Analyze corporate website and mobile asset performance to identify gaps in the digital conversion funnel. Turn raw data into actionable revenue opportunities by recommending specific site-side optimizations to the marketing team.
. Web Marketing Optimization: Produce meaningful marketing KPI dashboards that track on-site user journeys campaign effectiveness and content ROI. Provide deep-dive analysis on customer acquisition costs and lifetime value to ensure investments in corporate website properties are driving profitable growth.
. Personalizing the Web Experience: Discover patterns of user behaviors within the corporate website to support the Marketing Digital Team in creating personalized experiences. Use data to troubleshoot UI/UX friction points, increase page engagement, and convert website leads into paying customers.
Strategic Coordination & Technical Bridge
. Cross-Functional Bridge: Act as the primary coordinator between the Analytics Implementation Team, the Digital Content Team, and Business Stakeholders. Translate business requirements into technical tagging specifications for the external team, and translate technical data limitations or opportunities into business language for stakeholders.
. Tagging & SDK Strategy Management: Oversee end-to-end tagging strategies and SDK integrations by leveraging deep expertise in mobile app analytics and Mobile Measurement Partners (e.g., AppsFlyer, Adjust, Branch) or platforms like Firebase act as a technical bridge to ensure the Analytics Implementation team captures high-fidelity marketing insights while empowering the Digital Content team to effectively utilize tracking data.
. Data Integrity & Implementation QA: Validate the data quality provided by external vendors before it reaches business reports. Ensure that tagging and SDKs are functioning correctly across all digital assets (pre-login, post-login, and mobile applications) to maintain trust in our data.
Operational & Enabler Functions
. Insight Creation & Visualization: Generate easy-to-understand data visualizations and narrative reports that explain why specific trends are happening and what the business should do about them.
. Project Management: Coordinate, review, and manage the delivery of web analytics and tagging projects, ensuring external vendors meet timelines and internal stakeholders receive timely insights.
Managerial (team/group responsibilities)
. Coordinate with a small sized team consisting of solution architect and developer to deliver insight analysis and tagging projects
. Implement process improvements for productivity and timeliness
Education/Qualification
. Degree in Business Analytics, Information Technology (Data Analytics), Data Science, Computer Science, Engineering, Marketing, Banking/Finance/Statistics or related disciplines.
. Proficient in Adobe Analytics, Google Analytics or related web analytics tools
Experience/Skills
. At least 7 years of experience in web data analytics with a specific focus on marketing performance and revenue optimization.
. Proven experience acting as a liaison between technical engineering/data teams and non-technical business/marketing teams.
Special Skills
. Analytics & Tagging: Strong knowledge of Adobe Analytics (AA), Google Analytics, and Tag Management Systems. Familiarity with SDK implementation for mobile apps is essential.
. Bridge/Communication Skills: Exceptional ability to translate complex technical concepts (tagging/SDKs) into clear business value for stakeholders. Excellent communication and collaboration skills to manage implementation partners and content teams.
. Revenue Mindset: A strong portfolio demonstrating how data insights were used to drive revenue or improve marketing ROI.
. Problem-Solving: Proven ability to troubleshoot data discrepancies between technical implementations and business reporting.
. Certifications: Relevant certifications such as Adobe Analytics, Adobe Customer Journey Analytics (CJA), or Google Analytics are preferred.
Job ID: 145003537