Join us as a Campaign Execution Analyst at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.

You may be assessed on the key critical skills relevant for success in role, such as experience with, skills to meet business requirement as well as job-specific skillsets.

To be successful as a Campaign Execution Analyst, you should have experience with:

Basic/ Essential Qualifications

Good understanding of financial services, preferably UK retail banking marketplace, risk and compliance processes.
Extensive experience in marketing analytics and digital Marketing.
Any background of campaign analytics.
Excellent written and verbal communication skills with the ability to communicate technical information in a clear way.
Strong in SQL (Teradata , Databricks)
Strong in Conceptual Design, Abstract Thinking, User and Internal Communication
Strong Data warehousing Concept
Minimum of 5 years and maximum of 10 years experience
Campaign Management & Audience Targeting
Strong understanding of campaign lifecycle, audience selection, segmentation, suppression, and customer contact strategies.
Data Analysis & Problem Solving: Ability to investigate data issues, perform root cause analysis, validate outputs, and provide data-driven recommendations.
Stakeholder Management :Experience working with business stakeholders, technology teams, data engineering teams, and compliance/governance functions.
Minimum Qualification – bachelor's degree.

Desirable Skillsets/ Good To Have

Marketing Technologies Tool related to campaigns
Knowledge in Teradata , Databricks ,TWS /Tivoli and Unix /Linux
Experience in campaign delivery
Knowledge of customer contact policies and marketing consent frameworks.
Understanding of data lineage, data governance, and metadata management.
Experience supporting production incidents and BAU campaign operations

This role will be based out of Chennai.

Purpose of the role

To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.

Accountabilities

Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement.
Designing and building data pipelines to automate data movement and processing.
Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs.

Analyst Expectations

To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
Requires in-depth technical knowledge and experience in their assigned area of expertise
Thorough understanding of the underlying principles and concepts within the area of expertise
They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
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.