Citi is hiring for an FRESHER entry level Business Analytics Analyst role in India

Position

• Business Analytics Analyst

Functional Scope within the Enterprise

• The position requires identifying inconsistencies across operational data and analytical results to accurately define underlying business issues and operational bottlenecks.

• Incumbents formulate comprehensive recommendations regarding corporate policies, administrative procedures, and daily business practices to streamline enterprise efficiency.

• The role integrates established disciplinary knowledge from the analyst's specific specialty area with a foundational understanding of broader industry practices and standards.

• Professionals understand how their immediate team interacts with cross-functional departments to successfully accomplish overarching organizational goals and service benchmarks.

Company

• Citi represents a premier global financial institution with a legacy spanning over two centuries of connecting clients, markets, and communities.

• Operating on a massive international scale, the firm unites approximately 219,000 dedicated professionals from diverse cultures and backgrounds across the globe.

Location

• The position is physically based in the state of Haryana, India, positioning the analyst within a rapidly growing technological and financial operational center.

Job type

• The position is structured as a full-time employment opportunity, offering stable career progression, comprehensive compensation, and full corporate benefits.

Job mode

• The position operates under a hybrid work model, combining the benefits of in-person collaborative teamwork with the flexibility of remote working days.

Job requisition id

• The official corporate tracking code for this specific career opportunity is designated as requisition identifier 26995690 within the applicant tracking system.

Years of experience

Entry-Level Expectations

(0-3 yoe)

• The role is specifically designed for early-career professionals and freshers possessing zero to three years of relevant professional or internship experience. 

Company description

Organizational Legacy and Banking Leadership

• Built on a rich heritage of financial innovation, the institution has stood at the center of global commerce and capital formation for generations.

• The firm provides comprehensive financial services spanning corporate banking, investment banking, retail banking, wealth management, and treasury solutions.

• Operating across nearly 160 countries and jurisdictions, the enterprise connects emerging markets with established global financial capitals seamlessly.

• Leadership positions in digital banking, risk management, and data analytics ensure the company remains a trusted advisor to corporations, governments, and individuals.

Profile overview

Professional Role Summary

• The Business Analytics Analyst applies specialized domain expertise to monitor, evaluate, and interpret complex operational workflows and business datasets.

• Responsibilities include identifying operational policy gaps, formulating constructive recommendations, and researching factual information to support leadership decisions.

• Professionals uncover inconsistencies in data streams and operational results, clearly defining business issues and proposing effective procedural enhancements.

• The role requires integrating established disciplinary practices with a practical understanding of broader industry standards to optimize team performance.

Core Operational Responsibilities and Data Tasks

• Gathers operational data from diverse cross-functional stakeholders to examine historical business performance and identify emerging trends.

• Identifies underlying patterns in data to provide actionable insights that enhance decision-making in business planning, process improvement, and solution assessment.

• Recommends tactical actions for future developments, strategic business opportunities, and operational policy enhancements based on empirical findings.

• Engages in exploratory data analysis, confirmatory data analysis, and qualitative assessments to evaluate operational efficiency and service quality.

Stakeholder Engagement and Collaboration

• Translates complex data sets into clear consumer and customer behavioral insights to drive effective targeting and segmentation strategies.

• Communicates findings clearly and effectively to internal business partners, cross-functional stakeholders, and senior corporate leaders.

• Works closely with internal and external partners to design, implement, track, and continuously improve ongoing decision strategies.

• Collaborates with operational teams to streamline processes, evaluate new data sources, and adopt innovative analytical tools and capabilities.

Risk Management and Ethical Governance

• Appropriately assesses risk during all business decision-making processes, prioritizing the firm's reputation and safeguarding client assets.

• Drives compliance with applicable local and international laws, regulatory requirements, internal corporate policies, and industry standards.

• Applies sound ethical judgment regarding personal behavior, professional conduct, and day-to-day business practices across all interactions.

• Actively escalates, manages, and reports control issues with complete transparency to mitigate operational, legal, and reputational vulnerabilities.

Process Optimization and Continuous Improvement

• Drives continuous improvement across operational processes and strategies by exploring and evaluating emerging data sources and capabilities.

• Analyzes customer feedback, complaints, and sentiment metrics to pinpoint operational pain points and develop targeted remediation solutions.

• Applies structured problem-solving methodologies to address operational challenges, eliminate bottlenecks, and enhance overall service delivery.

• Documents process maps and workflow enhancements to ensure long-term operational sustainability and compliance across the business unit.

Qualifications

Technical Expertise and Data Proficiency

• Expertise in foundational and advanced statistical analysis, data mining techniques, process mapping, and structured process re-engineering.

• Proficiency in applying industry-standard data visualization tools such as Tableau and QlikView to identify trends and present findings visually.

• Experience with automation tools including SAS and PySpark to develop scalable, automated solutions for manual operational processes.

• Strong command over programming languages such as Python and SQL for data extraction, querying, transformation, and analytical modeling.

Analytical and Programming Capabilities

• Demonstrated ability to write complex SQL queries, optimize database extractions, and manage large-scale operational datasets effectively.

• Proficiency in utilizing Python libraries and data manipulation frameworks to conduct rigorous quantitative analyses and exploratory studies.

• Capability to build, implement, and track automated data pipelines and decision strategies in collaboration with technical engineering teams.

• Keen attention to detail when identifying data anomalies, inconsistencies, and outliers during exploratory and confirmatory data reviews.

Business Acumen and Financial Understanding

• Strong conceptual understanding of core business operations, financial metrics, and corporate performance indicators within the financial sector.

• Ability to synthesize complex quantitative data into practical business recommendations aligned with enterprise strategic objectives.

• Familiarity with financial services operations, banking workflows, and industry best practices to contextualize analytical findings.

• Capacity to evaluate cost-benefit tradeoffs associated with proposed process improvements and operational policy changes.

Customer Focus and Problem-Solving Skills

• Proven ability to analyze customer feedback, support tickets, and sentiment reports to identify service gaps and experience pain points.

• Strong analytical and problem-solving skills focused on addressing operational challenges and improving customer satisfaction metrics.

• Excellent interpersonal communication skills enabling clear articulation of technical findings to non-technical stakeholders and senior executives.

• Collaborative mindset geared toward cross-functional teamwork, active listening, and constructive feedback integration.

Educational Background and Foundational Knowledge

• Completion of a Bachelor's degree from an accredited university or equivalent professional experience in a relevant analytical discipline.

• Foundational academic grounding in quantitative fields such as mathematics, statistics, computer science, engineering, or economics.

Please click here to apply.