Position: Associate Data Analyst, Analytics & Metrics
Company: Mastercard
Location: Navi Mumbai, India
Job type: Full-time
Job mode: Onsite
Job requisition id: R-288534
Years of experience: 0-3 years
Company Description
Mastercard is a global pioneer in technology, payment processing, and financial infrastructure operating in over 200 countries and territories.
The organization powers worldwide economies by enabling digital choices that are safe, reliable, accessible, and highly efficient.
Millions of consumers, global enterprises, merchants, and government entities depend on its continuous innovation for basic financial services.
Mastercard builds inclusive digital ecosystems designed to streamline everyday operations while facilitating long-term economic prosperity everywhere.
Its extensive global operations prioritize data integrity, advanced security architectures, scalable transaction models, and responsible technological governance.
By fostering continuous strategic partnerships, the enterprise drives progress for communities, consumers, and commercial entities across all sectors.
The culture at Mastercard values collaboration, continuous individual development, inclusivity, ethical execution, and high-impact operational deliverables.
The company heavily invests in modern tech capabilities, artificial intelligence, statistical systems, data protection, and enterprise governance frameworks.
Employee development and cross-functional mobility are prioritized to allow emerging leaders to build long-term multi-faceted technology careers.
Mastercard ensures strict compliance with worldwide security and legal privacy guidelines to sustain massive user trust across global markets.
Profile Overview
The Associate Analyst (L9) plays a crucial operational role within Mastercard's enterprise Data Management unit.
Primary responsibilities center on executing meticulous data management, precise structural labeling, content categorization, and advanced analytics.
The role demands the precise entry, structuring, and validation of essential customer and operational records within strict turnaround windows.
The professional organizes incoming structured and unstructured source content, ensuring compliance with predefined quality benchmarks and priorities.
Continuous review of dataset integrity is required to resolve conflicting entries, fix missing variables, and repair incomplete information sources.
The analyst utilizes specialized data extraction methodologies to retrieve essential documentation across multiple operational and enterprise repositories.
System reporting, record keeping, continuous backup tasks, and secure database archival form core components of daily tasks.
The position demands full operational readiness to manage confidential records following established compliance controls and strict privacy standards.
The candidate actively advances global Data Governance goals by applying practical data operational mechanics and analytical concepts daily.
The professional collaborates with cross-functional domain groups to satisfy complex legal, operational, operational safety, and regulatory mandates.
The incumbent will simultaneously run 5 to 6 core workstreams, requiring high-level prioritization, planning, and task execution agility.
Generating clear operational dashboards, detailed executive presentations, and research logs is necessary to convey actionable conclusions.
High proficiency in web-based applications, internet lookup utilities, and standard Microsoft Office platforms like Excel is vital.
Excellent written and oral communication capabilities are essential to partner seamlessly across massive, globally dispersed project teams.
Flexibility to work within India night shift patterns, 24x7 operational frameworks, and US holiday schedules is strictly required.
Qualifications
Possesses a completed Bachelor’s degree (BSc, BCom, BA, or equivalent qualification) or relevant technical diploma certifications.
Formal academic background or specialized professional certifications in computer applications, data analytics, or computational statistics is preferred.
Demonstrates baseline competency in technical analytical toolsets including Microsoft Excel, basic SQL, Python, Tableau, and Power BI.
Demonstrates foundational understanding of data entry methods, database structures, processing mechanics, and database management principles.
Exhibits strong analytical capabilities, critical logical reasoning, and active problem-solving skills to troubleshoot operational data gaps.
Proactively applies internal quality assessment procedures to preserve system integrity, input accuracy, and strict governance compliance.
Capable of collecting complex datasets, identifying operational trends, and producing clear visual reporting dashboards for leadership.
Displays high proficiency utilizing office tools, web technologies, collaborative applications, and central data management platforms.
Prior operational practice or direct internship experience in data validation, data entry, or analytical processing is advantageous.
Shows continuous willingness to participate in intensive enterprise learning initiatives to master internal operational tools and methodologies.
Possesses strong self-management skills to run assigned administrative or data entry processes independently with zero quality loss.
Exhibits adaptability to acquire proficiency in fresh data software, proprietary tools, and evolving digital frameworks.
Mentors, supports, and guides fellow team members over time to share task insights and encourage joint team capability growth.
Maintains strict compliance with company data policies, security protocol implementations, and foundational governance principles.
Possesses clear written communication skills with absolute command over spelling, structural grammar, and clear professional punctuation.
Additional Info
The selected candidate will actively contribute to mitigating data management risks through consistent framework monitoring and evaluation.
The role involves establishing and maintaining localized documentation, policy guidelines, educational resources, and quality standards manuals.
Operational duties require strict alignment with global legal frameworks, regional financial regulations, and complex enterprise compliance demands.
High attention to details is critical to catch technical discrepancies, input errors, and inconsistencies across complex operational systems.
The role offers continuous Exposure to international enterprise projects, working directly alongside multi-regional data governance leaders.
Continuous alignment with the US enterprise calendar requires high adaptiveness regarding localized holiday shifts and time zone offsets.
The operational environment requires constant readiness to support round-the-clock (24x7) system workflows as team assignments shift.
Every employee handles enterprise digital assets under total compliance with Mastercard’s corporate security framework and protocols.
Security expectations include complete confidentiality protection, system monitoring, and mandatory completion of continuous security training.
Immediate escalation of potential computer security vulnerabilities or network breaches is an absolute operational requirement.
Candidates are expected to undergo the recruitment process with total transparency, honesty, and alignment with corporate integrity guidelines.
Strict adherence to Mastercard’s defined usage rules applies if AI tools are referenced during candidate assessment phases.
The enterprise provides long-term growth options, career movement opportunities, and continuous skill refinement within data domains.
Candidates will experience a fast-paced environment demanding high output accuracy, strong personal punctuality, and operational drive.
The location for this role is based out of Mastercard's technological facility situated in Navi Mumbai, Maharashtra, India.
Please click here to apply.
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