{"id":2981097,"url":"https://alion.io/job/mastercard-associate-analyst-analytics-metrics-3","title":"Associate Analyst, Analytics & Metrics","company":{"id":252,"name":"Mastercard","domain":"mastercard.com","url":"https://alion.io/company/mastercard","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":162,"ghost_share":0.019,"stale_share":0.438,"repost_share":0.068,"time_to_fill_p50_days":26,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Navi Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":9000,"max_usd":21000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"NumPy","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"A/B Testing","optional":true},{"name":"Git","optional":true},{"name":"Microsoft Excel","optional":true},{"name":"Microsoft Office","optional":true}],"status":"live","first_seen_at":"2026-10-16T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-23T01:29:06Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Our Purpose\nMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.\nTitle and Summary\nAssociate Analyst, Analytics & MetricsOverviewWe are seeking a Data Analyst to transform complex payments, transaction, customer, and operational data into accurate reporting and actionable business insights. The role combines hands-on data management, data quality, SQL and Python analysis, dashboard development, reporting automation, and stakeholder collaboration. The successful candidate will work with business and technology teams to improve performance, identify trends and growth opportunities, and support reliable, data-driven decisions.\nRole\nData Preparation, Quality and Governance\nExtract, compile, cleanse, validate, standardize, and organize large datasets from multiple internal and external sources using SQL, Python, Excel, and approved data platforms.\nReview data for completeness, accuracy, consistency, duplication, and compatibility; investigate discrepancies and correct issues where possible or escalate them through defined channels.\nResearch and obtain missing information required to complete datasets, records, or supporting documentation.\nApply defined data extraction, labelling, categorization, mapping, reconciliation, and quality-control procedures.\nPerform internal quality reviews and maintain clear evidence of checks, corrections, assumptions, and data lineage.\nHandle sensitive and confidential information with professional maturity and comply with applicable data privacy, security, governance, and retention requirements.\nAnalysis and Business Insights\nAnalyze payments and transaction data to identify trends, anomalies, customer behavior, operational performance, and potential growth or efficiency opportunities.\nUse descriptive statistics, trend analysis, segmentation, model testing, and root-cause analysis\nTranslate business requirements into structured analytical approaches, datasets, metrics, and reporting solutions.\nInterpret findings with the end user in mind and provide clear, practical recommendations supported by data.\nCollaborate with business, operations, product, risk, and technology stakeholders to clarify requirements and validate analytical outputs.\nSQL, Python, Databricks and Automation\nWrite and optimize SQL queries using joins, common table expressions, subqueries, aggregations, and window functions for extraction, validation, reconciliation, and analysis.\nUse Python, particularly pandas and NumPy, to manipulate data, perform quality checks, conduct analysis, and build reusable processing scripts.\nWork with Databricks notebooks and Spark or PySpark for data preparation and distributed processing, with guidance for more complex engineering activities.\nAutomate recurring reports, validation routines, and data preparation processes to reduce manual effort and improve consistency.\nSupport basic machine-learning activities such as feature preparation, model testing, performance evaluation, classification, clustering, or predictive analysis under established frameworks.\nDocument code, logic, dependencies, business rules, and operating procedures so solutions can be reviewed, maintained, and reused.\nReporting and Visualization\nBuild, maintain, and enhance dashboards in Power BI, Tableau, or similar tools to track business metrics, KPIs, trends, and exceptions.\nPrepare accurate recurring and ad-hoc reports, presentations, and analytical summaries for technical and non-technical audiences.\nValidate dashboard calculations and reporting outputs against source systems before release.\nStore completed work in designated repositories, maintain appropriate versions, and perform backup activities as instructed.\nPresent findings, limitations, and recommendations clearly to stakeholders and respond to follow-up questions with supporting evidence.\nDelivery and Collaboration\nManage multiple assignments or projects simultaneously while meeting agreed quality, productivity, and turnaround expectations.\nWork effectively in a fast-paced environment, prioritize competing requests, and communicate risks or delays early.\nPartner with cross-functional and global teams, participate in reviews, and contribute to process and reporting improvements.\nOperate independently on defined tasks while seeking appropriate guidance for complex, ambiguous, or high-risk issues.\nDemonstrate professionalism, accountability, punctuality, attention to detail, and a goal-oriented approach.\nAll About You\nRequired Qualifications and Experience\nBachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, Data Science, Commerce, or a related discipline.\n3-4 years of experience in data analytics, business intelligence, data management, reporting, or a related technical role.\nProven experience working with large datasets, performing data validation, resolving quality issues, and delivering accurate analytical outputs.\nStrong SQL skills, including joins, aggregations, common table expressions, window functions, and complex queries.\nProficiency in Python for data manipulation and analysis, particularly pandas and NumPy.\nGood to have knowledge on Power BI, Tableau, or a comparable data-visualization platform.\nGood Microsoft Excel skills, including formulas, pivot tables, lookups, data analysis, and preferably Power Query.\nWorking knowledge of statistics, trend analysis, model testing, and analytical problem-solving.\nExcellent written and verbal communication skills, including report writing, presentations, and stakeholder discussions.\nStrong organizational and time-management skills, with the ability to manage priorities and deliver work accurately within deadlines.\nExperience with web-based applications, internet research, Microsoft Office, and common data-management tools.\nPreferred Qualifications\nExperience in payments, banking, fintech, financial services, or another transaction-intensive environment.\nFamiliarity with payment and transaction metrics, customer segmentation, fraud or anomaly analytics, and operational performance reporting.\nExposure to Databricks, Spark, PySpark, cloud data platforms, Delta tables, or distributed data-processing concepts.\nExposure to machine-learning modelling, including data preparation, feature engineering, model evaluation, and interpretation of results.\nExperience with APIs, Git or version control, reporting automation, A/B testing, or predictive analytics.\nRelevant certifications in analytics, business intelligence, cloud platforms, Python, SQL, or Databricks are advantageous.\nFlexibility to support India night shifts, a 24x7 operating model, or alignment with the US holiday calendar where required by the team.\nSuccess in This Role\nDeliver accurate, complete, and timely analyses, reports, and datasets with clear quality checks.\nCreate dashboards and visualizations that are easy to understand, relevant to end users, and aligned with agreed business metrics.\nReduce manual reporting and data-preparation effort through practical, maintainable automation.\nIdentify meaningful trends, discrepancies, risks, and opportunities and convert them into actionable recommendations.\n• Build stakeholder confidence through reliable delivery, transparent communication, sound documentation, and responsible handling of data.\nCorporate Security Responsibility\nAll activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:\nAbide by Mastercard’s security policies and practices;\n\nEnsure the confidentiality and integrity of the information being accessed;\n\nReport any suspected information security violation or breach, and\n\nComplete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.","description_format":"text","description_chars":8306,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Growth opportunities"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cards & Card Issuing","Payment Processing & 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