Senior Tagging Developer

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Join us as a Senior Tagging Developer at Barclays, where you'll work with marketing, data, and journey owners in ensuring high quality data is available across Barclays digital estates for the purpose of reporting, analysis, optimisation and targeting. You will be using various tracking tools and will support different teams using different frameworks. The shortlisted candidate is expected to own delivery of BAU Tagging demands leveraging existing standards and frameworks. You will be part of the Data Enablement team whose mission is to transform Barclays' data-driven capability - ensuring our capability in engaging customers with the right message, at the right time, using the appropriate channel.
To be successful as a Senior Tagging Developer you should have experience with:
  • At least one Tag Management System such as Tealium, Adobe Launch, Ensighten, etc
  • At least one Digital Analytics platform such as Adobe Analytics, Google Analytics etc.
  • Basic knowledge of Front-End Technologies such as HTML, CSS, JS, etc.
  • Server-side implementation of analytics data collection solution

Some Other Highly Valued Skills Includes

  • Prior experience/exposure in the following domains: Digital Marketing, Conversion Rate Optimization, Site/App Performance Analysis, Data Collection
  • Banking domain knowledge
  • Data Warehouse and SQL
  • Understanding of Agile ways of working methodologies
  • Digital Marketing Campaign Management.
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.This role is based out of Pune.

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities

  • Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
  • Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
  • Development of processing and analysis algorithms fit for the intended data complexity and volumes.
  • Collaboration with data scientist to build and deploy machine learning models.

Analyst Expectations

  • Will have an impact on the work of related teams within the area.
  • Partner with other functions and business areas.
  • Takes responsibility for end results of a team’s operational processing and activities.
  • Escalate breaches of policies / procedure appropriately.
  • Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
  • Advise and influence decision making within own area of expertise.
  • Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
  • Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
  • Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
  • Make evaluative judgements based on the analysis of factual information, paying attention to detail.
  • Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
  • Guide and persuade team members and communicate complex / sensitive information.
  • Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

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Barclays

Financial Services

London

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