{"id":2518521,"url":"https://alion.io/job/visa-data-analyst-2","title":"Data Analyst","company":{"id":83,"name":"Visa","domain":"visa.com","url":"https://alion.io/company/visa","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":165,"ghost_share":0,"stale_share":0.588,"repost_share":0.024,"time_to_fill_p50_days":23,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","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":22000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":19},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Power BI","optional":false},{"name":"Tableau","optional":false},{"name":"ETL/ELT","optional":true},{"name":"Hadoop","optional":true},{"name":"Java","optional":true},{"name":"Microsoft Office","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-14T10:26:32Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-14T19:04:59Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Us\nVisa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.\nAt Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.\nJoin Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.\nJob Description\nFunctional Summary\nThe CS Business Intelligence and Analytics (BI&A) team has a simple mission: we turn massive amounts of data into robust tools and actionable insights that drive business value and provide best in class experience to our clients, internally and externally. Our team works to support Go to Market Services (GTMS) teams by building consolidated, strategic and scalable operational and analytics infrastructure for Visa core products, value added services, and internal processes.\nResponsibilities\nThe Analyst will be responsible for owning the analytic function for GTMS business and performance metrics, both periodic and ad hoc. Specific activities may include:\nBecome the subject expert on all things related to GTMS business reporting\nOwn data and processes for daily, monthly, and quarterly executive reporting suites, ensuring timely and accurate delivery\nCoordinate across product and metric owners to define key metrics and follow-up on any outliers or deviations\nCreate and maintain performance and monitoring dashboards around internal GTMS business metrics, including sales data, client care case performance, and CRM metrics\nIdentify and resolve inconsistencies and data quality issues\nServe as a liaison to strategic business partners to understand their needs and propose and build fit for purpose solutions\nPerform periodic and ad hoc end-to-end analyses to identify operational and business opportunities to drive Best in Class performance\nWork with stakeholders to understand the root problems, define analytical objectives and formalize data requirements for various types of dashboards and analyses\nDesign and launch robust and intuitive Tableau and Power BI dashboards supporting best in class money movement client experience\nCreate and present analytic deliverables to colleagues in the analytics team, other internal stakeholders with varying degrees of analytical and technical expertise\nDistill massive amounts of data across disparate data sources into efficient functional data repositories in a Big Data environment\nIndependently perform analysis to derive insights and render robust, thoughtful results\nDevelop presentations of complex data and content for clients and stakeholders in an accurate, understandable, and engaging manner\nVisa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.\nQualifications\nBasic Qualifications:\n3 or more years of relevant work experience with a Bachelor’s Degree or at least 1 year of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD\nPreferred Qualifications:\n6 or more years of work experience with a Bachelor’s Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 2 years of relevant experience with a PhD\nUnderstanding of payments and operational client care functions\nAble to utilize AI tools without losing the “human touch” and domain expertise\nExpert proficiency in data visualization including Tableau, Power BI, and PowerPoint\nBig Data skills including SQL and ETL experience\nFunctional knowledge of programming languages such as Python, Java, and/or Shell Scripting to support automation and data cleansing\nFamiliarity with Microsoft Dynamics or other ERP/CRM tools\nProficiency manipulating data from a variety of sources - Big data skills (Hadoop, Hive, Spark) and/or SQL skills required. Able to ‘talk data’ with technology partners\nStrong verbal, written, and interpersonal skills with the ability to summarize complex topics into easy to understand pieces\nProficient in all MS Office applications\nStrong strategic thinking, problem-solving, and decision-making abilities, with the ability to translate complex data into actionable insights\nAbility to interact and manage stakeholders globally and across time-zones\nVisa experience or knowledge of the payments industry\nVisa is an EEO Employer\nQualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. 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