Adobe Analytics Developer

V2 Solutions; Hinoba-an; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

V2 Solutions in the Philippines seeks an experienced Digital Analytics Lead to drive web and mobile analytics, data governance, and attribution tools. You will own measurement frameworks across Adobe Analytics, Google Analytics, AppsFlyer, and tag management, delivering actionable insights.

This role requires 7+ years in high‑performance analytics, SQL/R/Python, Tableau, and strong storytelling to influence stakeholders.

Qualifications

• 7+ years of experience in digital analytics and data-driven environments.
• Experience on web and mobile analytics tooling (Adobe Analytics, GA, Appsflyer).
• Strong knowledge of GDPR/PDPA and consent management.
• Proficiency in SQL, R, Python; Tableau experience.
• Familiarity with Confluence and JIRA in enterprise Agile settings.

Responsibilities

• Hands-on work with core analytics tools to measure and optimize online journeys and campaigns.
• Build and maintain dashboards and reports; support performance dashboards.
• Collaborate with analytics teams to develop predictive insights and models.
• Prepare BRD and user stories; ensure sign-off with stakeholders; guide implementation timelines.
• Communicate priorities and drive action through data storytelling.

Skills

Adobe Analytics

Google Analytics

AppsFlyer

Tag Management

Adobe Launch

Tableau

R

Python

SQL

Confluence

JIRA

Analytics storytelling

Stakeholder communication

Education

Bachelor's or Master’s degree in a relevant field

Tools

ObservePoint

Analytics Health Dashboard

AEP SDK

Consent Management Tool

Job description

Job Requirements*

4 to 8 + Years of experience. Experience handling and managing Digital Analytics tools like Adobe analytics, Google analytics, AppsFlyer (or similar Mobile attribution tool), etc and Tag management tools like Adobe Launch. Experience in implementation AEP SDK (end to end) with Adobe SaaS integration. Experience in auditing and command on Tag Monitoring tools ObservePoint, Analytics Health Dashboard. Experience is Data Compliances like GDPR, PDPA, and Consent Management Tool. Bachelors / Masters degree holder. Overall experience of 7+ ( depends of job band it can vary ) years of experience in core and relevant field of setting up or working in high performance Digital analytics environment is a must Proficiency in statistical and database concepts. Experience with visualisation tools like Tableau Experience in technologies like R, Python, SQL is an added advantage Good knowledge of Confluence and JIRA to conduct above activities in enterprise agile environment Strong presentation and communication skills to deal with a broad set of stakeholders, ability to tell a story through data, identify opportunities and drive action plans

Key Responsibilities*

Hands on experience in Digital analytics tools like Adobe analytics, Google Analytics, Appsflyer is required with focus on following Web & Mobile analytics: To drive better understanding of customer journey, CTAs, events, marketing channel rules, integrations Measurement & Reporting: Manage proper measurement, reporting, analysis and optimisation of online journeys and campaigns. Support build out of performance reporting dashboards. Experience building external dashboards using Tableau is an added advantage. Analytics & Insights: Help analytics processes to drive insights. Collaborate with Retail analytics teams to build predictive models that drive optimisation of Digital & Omni channel journey's Will be responsible for business requirements, functional design, configuration, testing, training and implementation of Digital analytics and Mobile attribution tools using tag management platform Ensuring deliverables are of the desired quality and have appropriate endorsements/ sign-offs Clearly communicating priorities, objectives/goals, mission and acceptance criteria to the Agile Delivery Team Prepare BRD and User stories and get them signed-off with country stakeholders. Walkthrough of user stories with implementation teams and agree on implementation timelines. Validate deliveries through success metrics, after deployment to ensure they meet all operational and business requirements and drive maintenance and problem resolution, as required.