{"id":734432,"url":"https://alion.io/job/barclays-marketing-analytics-manager","title":"Marketing Analytics Manager","company":{"id":12541,"name":"Barclays","domain":"home.barclays","url":"https://alion.io/company/barclays-uk","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":93,"open_postings":212,"ghost_share":0.019,"stale_share":0.335,"repost_share":0.137,"time_to_fill_p50_days":17,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-09-11T10:35:46Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-29T10:40:15Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":47},"description":"Job Description\nPurpose of the role\nTo collect analyse, and interpret data through statistical and analytical analysis techniques to gain insights into customer behaviour, campaign performance and market trends to drive informed decision-making\nAccountabilities\nMarketing data collection and gathering from various sources, including external/internal datasets, surveys, and social media.\nMarketing data cleaning and preparation, ensuring accuracy, completeness, and consistency and developing marketing data models and predictive analytics.\nStatistical and analytical analysis techniques to explore data, includes the use of descriptive statistics, inferential statistics, data mining, and machine learning algorithms.\nA/B testing and other experimentation methodologies to refine marketing strategies.\nPresentation of findings and insights to stakeholders, providing actionable recommendations for continuous improvement, using various data visualisation, such as charts, graphs, and dashboards to explain complex data in a manner fit for the required audiences.\nAssistant Vice President Expectations\nTo advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.\nLead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes\nIf 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.\nOR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.\nConsult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.\nIdentify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.\nTake ownership for managing risk and strengthening controls in relation to the work done.\nPerform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.\nCollaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.\nEngage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.\nCommunicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.\nInfluence or convince stakeholders to achieve outcomes.\nAll 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.\nJoin us as a \" Marketing Analytics Manager \" 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.\nYou may be assessed on the key critical skills relevant for success in role, such as experience with customer insights, campaign analytics, targeting strategies, and performance measurement across acquiring and issuing portfolios. The role will partner closely with Marketing, Coverage, Data Product, and MarTech engineering teams to identify opportunities, optimize customer communications, and drive commercial outcomes through data-driven decision making, as well as job-specific skillsets.\nTo be successful as a \" Marketing Analytics Manager\", you should have experience with:\nBasic/ Essential Qualifications:\nDegree in Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline.\nStrong hands-on experience in customer analytics, campaign analytics, marketing insights, or commercial analytics within banking, financial services, or a data-driven environment.\nAdvanced proficiency in SQL and at least one analytical programming language (Python or SAS), with experience translating business problems into analytical solutions.\nDesirable skillsets/ good to have:\nExperience working in Marketing Technology environments, including campaign management, customer engagement, CRM, Salesforce Marketing Cloud, Adobe, or similar platforms.\nKnowledge of SME banking, customer lifecycle management, retention strategies, propensity modelling, and behavioural analytics.\nExperience with visualization and reporting tools such as Tableau, Power BI, or similar, alongside strong stakeholder management and presentation skills.\nThis role will be based out of Gurugram.","description_format":"text","description_chars":5677,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Cards & Card Issuing","Wealth Management & Financial Advisors","Investment Banking & M&A 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