Google Analytics/web Analytics

**Company Description**
WNS Global Services manages, operates and transforms business processes for more than 350 leading global organizations across 9 industry verticals (Insurance, Banking & Financial Services, Travel & Leisure, Shipping & Logistics, Utilities & Energy, Healthcare, Retail & CPG, Manufacturing and Consulting & Professional Services) and 4 cross-industry horizontals (Finance & Accounting, Research & Analytics, Procurement and Risk Management Services), delivered through a global operating model that spans 12 countries across 57 delivery centres.

The Smart Cube, a WNS company, is a trusted partner for high performing intelligence that answers critical business questions. And we work with our clients to figure out how to implement the answers, faster.

This role will support the designing and delivering analytics data collection strategies to enable analysis of customer acquisition through marketing and advertising platforms, customer behavior, conversion, and commercial performance, as well as supporting MarTech personalization objectives and data science use cases.

**Responsibilities**
- Ownership of the development and maintenance of our digital data collection methodologies
- Be the technical bridge between non-technical stakeholders and technical teams, eliciting and interpreting business objectives into analytical requirements and technical designs.
- Design and deploy scripts and tags on web, native apps and adaptive app pages via tag management systems, or by working with development partners.
- Create automated testing methodologies to ensure data is captured consistently, is always present and accurate, and we are alerted to changes before they become significant or lengthy issues.
- Hand over solutions back to analytics team members and wider digital analytics users to ensure Company gets value from the created data.
- Collaborate with a wider team, including external partners, to coordinate delivery of work.

**NEED TO HAVE**
- Expertise in setting up and managing Google Analytics 4, including event tracking, custom dimensions, and data import.
- Proficiency in Google Analytics setup, including tracking code implementation, goal and funnel configuration, and data filtering.
- Expertise in creating custom dimensions, metrics, and event tracking to capture unique data points.
- Advanced knowledge of Google Analytics reporting, including creating and customizing dashboards and reports.
- Experience with Google Tag Manager for streamlined tag implementation and management.
- Familiarity with other Google tools, such as Google Search Console and Google Data Studio for a holistic view of website performance.
- Understanding of data privacy regulations, such as GDPR and CCPA, and their impact on data collection and reporting.
- Ensure that the existing aggregate tables (data mart) are able to support a new set of granular funnel reports (across app and web), and user engagement reports for key site areas: PDP, PLP, Checkout, MyAccount
- Construct additional reporting tables on top of the data mart to facilitate these new reports
- Build or collaborate with the reporting team to build out the reports mentioned above.Provide insight from reports

**Qualifications**
- 8+ years’ experience working with Digital Analytics tools and associated data collection, such as Google Analytics, Adobe Analytics, Amplitude.
- 3+ years’ experience deploying marketing and advertising tags, such as Google Ads, Meta, AWIN, Criteo
- 3+ years’ front end development experience working in JavaScript, HTML, CSS.
- Experience designing data collection methodologies for client and server-side data collection, data layer designs, working on both web and mobile apps - adaptive and native - and virtual pages.
- Familiarity with agile workflows through JIRA or Azure DevOps.
- A curious problem solver, eager to continuously develop skills.
- Able to communicate effectively across varying levels of data literacy and seniority.

**Additional Information** Good to Have**
- Experience with Digital Experience Platforms.
- Experience with CDPs.
- Experience with Cloud and Data Lakehouse architectures e.g. GCP, Azure, Databricks.
- Experience with Agile or Scaled Agile Frameworks (SAFe).