{"id":194650,"url":"https://alion.io/job/citi-business-analytics-int-analyst-c11-internal-audit-analytics","title":"Business Analytics Int Analyst– C11 – Internal Audit Analytics","company":{"id":7841,"name":"Citi","domain":"citi.com","url":"https://alion.io/company/citi","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":99,"open_postings":548,"ghost_share":0.005,"stale_share":0.188,"repost_share":0.068,"time_to_fill_p50_days":9,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":34000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Cognos","optional":false},{"name":"Hadoop","optional":false},{"name":"MicroStrategy","optional":false},{"name":"OCR","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"UiPath","optional":true}],"status":"live","first_seen_at":"2026-09-03T07:58:10Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-11-05T03:33:23Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":62},"description":"The Digital Solutions and Innovation (DSI) team within Citi's Internal Audit Innovation function is seeking a Data Analytics Manager (C11) to join the Analytics Centre of Excellence (CoE) team. The CoE collaborates with Internal Audit stakeholders globally to identify opportunities, design, develop, and implement analytics that support audit activities, alongside automation initiatives that promote operational efficiencies and expand audit coverage.\nThe successful candidate will demonstrate deep proficiency in analytics technology, data engineering, and AI-driven tools, and will possess functional knowledge of banking processes, risk frameworks, and controls. They will be a key contributor to the organisation's forward-looking data strategy within audit - leveraging cutting-edge approaches such as agentic AI, large-scale data extraction, and advanced automation to drive meaningful audit outcomes.\nKey Responsibilities:\nParticipate in the innovative use of audit analytics across all phases of the audit lifecycle - planning, fieldwork, and reporting.\nDefine data needs, design, and execute audit analytics in accordance with the Citi Internal Audit methodology and professional standards.\nSupport the development and execution of automated routines to focus and enhance audit testing.\nExecute innovation solutions and pre-defined analytics in accordance with standard DSI-CoE procedures.\nOwn the end-to-end execution of selected analytics activities, from data sourcing to final insight delivery.\nAssist audit teams in performing moderately complex audits across business areas including Consumer Banking, Investment Banking, Risk, Finance, Compliance, and Technology.\nApply working knowledge of AI tools to automate data gathering, anomaly detection and audit workflow steps.\nLeverage large language models (LLMs) and AI orchestration frameworks to design intelligent, autonomous analytics pipelines that reduce manual effort and improve audit coverage.\nContribute to the evaluation, piloting, and deployment of AI-driven audit tools within the DSI-CoE innovation agenda.\nProvide support to other members of the Analytics and Automation team, and the broader DSI team.\nDevelop professional relationships with audit teams to assist in identifying analytics and automation opportunities.\nBuild effective working relationships with technology and business teams in areas under audit, facilitating understanding of processes and data sourcing.\nCommunicate analytics requirements, methodologies, and results clearly to both technical and non-technical stakeholders through strong verbal and written communication skills.\nMake practical recommendations for analytics enhancements that improve audit quality and efficiency.\nPromote continuous improvement in all aspects of audit automation activities - including the technical environment, software stack, and operating procedures.\nStay current on emerging technologies, data platforms, and AI advancements relevant to audit analytics and innovation.\nKey Qualifications and Competencies\nMinimum 6-8 years of experience as a business or audit analyst, providing analytical techniques and automated solutions to business needs.\nDemonstrated experience working in a global environment within a large, complex organization.\nExcellent technical, programming, and databases skills\nExcellent analytical ability to understand business processes and related risks and controls and develop innovative audit analytics based upon audit needs.\nStrong interpersonal and multicultural skills for interfacing with all levels of internal and external audit and management.\nSelf-driven, problem-solving approach. Understanding of procedures and following these to keep quality and security of processes.\nDetail oriented approach, consistently performing diligent self-reviews of work product, and attention to data completeness and accuracy.\nData literate, with the ability to understand and effectively communicate what data means to technical and non-technical stakeholders.\nProficiency in one or more scripting/programming languages:\nSQL - complex query writing, performance tuning, data extraction\nPython - data wrangling, statistical analysis, automation scripting, OCR\nHadoop Ecosystem - Hive, PySpark, Apache Spark\nSAS\n Data Visualisation Tools (one or more preferred)-- Tableau, MicroStrategy, Cognos\n No-Code / Low-Code Tools (one or more preferred)-KNIME & equivalent\n Process Automation Tools (one or more preferred)-Airflow / Xcepter\nKnowledge of AI tools to automate data gathering, anomaly detection and audit workflow steps.\nLeverage large language models (LLMs) and AI orchestration frameworks to design intelligent, autonomous analytics pipelines that reduce manual effort and improve audit coverage.\nFamiliarity with applying AI/ML methodologies to audit and risk analytics use cases.\nGood to have working knowledge of enterprise data extraction platforms such as Dataflame, EAP.\nExperience of the following areas would be a plus:\nBusiness Intelligence including statistics, data modelling, data mining, forecasting, and predictive analytics.\nApplication of data science tools and techniques to advance insights from data interrogation.\nWorking with non-structured data (e.g., PDF files, OCR techniques).\nBanking domain expertise across: Institutional Clients Group, Consumer, Corporate Functions, Markets, Services, Anti-Money Laundering, Regulatory Reporting.\nBig Data analysis using HUE, Hive, or equivalent tools.\nProject Management / Solution Development Life Cycle experience.\nExposure to process mining tools: Celonis, UiPath, IBM PM.\nEducational Requirements\nMasters's degree in Computer Science, Information Technology, Mathematics, Statistics, Finance, or a related quantitative field.\n------------------------------------------------------\nJob Family Group:\nDecision Management------------------------------------------------------\nJob Family:\nBusiness Analysis------------------------------------------------------\nTime Type:\nFull time------------------------------------------------------\nMost Relevant Skills\nPlease see the requirements listed above.------------------------------------------------------\nOther Relevant Skills\nFor complementary skills, please see above and/or contact the recruiter.------------------------------------------------------\nCiti is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.\nIf you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.\nView Citi’s EEO Policy Statement and the Know Your Rights poster.","description_format":"text","description_chars":6842,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Payment Processing & Gateways","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-03T07:58:10Z"},{"event":"close","at":"2026-09-10T20:21:52Z"},{"event":"reopen","at":"2026-09-15T16:46:28Z"},{"event":"close","at":"2026-09-21T18:34:01Z"},{"event":"reopen","at":"2026-09-22T14:08:51Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.226,"p_room":0.28,"age_days":62,"expected_fill_days":9,"reasons":["conf:2","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-05T05:54:30Z"},"pay":null,"html_url":"https://alion.io/job/citi-business-analytics-int-analyst-c11-internal-audit-analytics","json_url":"https://alion.io/job/citi-business-analytics-int-analyst-c11-internal-audit-analytics.json","meta":{"generated_at":"2026-11-05T06:47:20Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who 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