Citi is hiring Data Information Analyst | Haryana

Job Description

Citi is hiring Data Information Analysts for its Haryana office. This opportunity is ideal for fresh graduates and early-career professionals who are passionate about Data Analytics, Business Intelligence, Data Management, and Machine Learning.

As a Data Information Analyst, you will work with large datasets, analyze business information, prepare reports, support data quality initiatives, and contribute to data-driven decision-making. You'll collaborate with experienced professionals while gaining hands-on experience in analytics, data management, and enterprise-scale financial systems.

𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Citi
𝐑𝐨𝐥𝐞: Data Information Analyst
𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Haryana, India
𝐉𝐨𝐛 𝐓𝐲𝐩𝐞: Full-Time
𝐖𝐨𝐫𝐤 𝐌𝐨𝐝𝐞: Hybrid
𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 0–2 Years

𝐀𝐛𝐨𝐮𝐭 𝐂𝐢𝐭𝐢

Citi is one of the world's leading global financial institutions, serving millions of customers across more than 160 countries. With over 230,000 employees worldwide, Citi provides banking, investment, wealth management, and financial services to individuals, businesses, and governments.

Known for its innovation, technology-driven culture, and strong focus on professional development, Citi offers outstanding opportunities for individuals looking to build careers in Data Analytics, Finance, and Technology.

𝐉𝐨𝐛 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰

As a Data Information Analyst, you will support data analysis, reporting, data quality management, and business decision-making by working with structured datasets and analytical tools. You'll learn industry best practices while collaborating with cross-functional teams to ensure accurate data management and operational efficiency.

This role provides an excellent opportunity to build expertise in Data Analytics, Business Intelligence, and Enterprise Data Management.

Roles & Responsibilities

• Analyze business data to identify trends, patterns, and meaningful insights that support decision-making.

• Prepare routine reports and dashboards by working with structured datasets and predefined processes.

• Monitor data quality, identify inconsistencies, and help improve data accuracy across systems.

• Support database management, data maintenance, and information management activities.

• Research business data and assist in interpreting analytical findings for stakeholders.

• Follow established policies and procedures while ensuring data integrity and compliance.

• Work with senior team members to review analyses and continuously improve reporting processes.

• Assist in identifying process improvement opportunities through data-driven insights.

• Collaborate with cross-functional teams to support business objectives and operational reporting.

• Develop a strong understanding of enterprise data management practices and industry standards.

Qualifications & Eligibility

• Bachelor's degree or equivalent qualification.

• 0–2 years of relevant experience.

• Fresh graduates with strong analytical skills are encouraged to apply.

Skills Required

• Basic knowledge of Data Analytics and Data Management concepts.

• Familiarity with Python, R, or other analytical programming languages.

• Understanding of SQL and database fundamentals.

• Basic knowledge of Machine Learning concepts.

• Good analytical thinking and problem-solving abilities.

• Strong attention to detail and data accuracy.

• Good communication and collaboration skills.

• Ability to interpret data and generate meaningful insights.

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬

• Familiarity with analytical tools such as SAS Enterprise Miner, SPSS, or Knowledge Seeker.

• Exposure to Big Data technologies.

• Basic understanding of Business Intelligence and reporting.

• Academic projects related to Data Analytics, Machine Learning, or Business Intelligence.

• Knowledge of financial data analysis is an added advantage.

𝐖𝐡𝐲 𝐉𝐨𝐢𝐧 𝐂𝐢𝐭𝐢?

• Start your career with one of the world's leading financial institutions.

• Gain hands-on experience working with enterprise-scale data systems.

• Learn industry-standard analytics and data management practices.

• Exposure to data analysis, reporting, and business intelligence projects.

• Work in a collaborative and technology-driven environment.

• Hybrid work model offering flexibility and work-life balance.

• Excellent opportunities for learning, career growth, and global exposure.

𝐂𝐚𝐫𝐞𝐞𝐫 𝐆𝐫𝐨𝐰𝐭𝐡 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬

This role provides a strong foundation for building a successful career in Data Analytics and Financial Technology.

Potential career paths include:

• Data Analyst

• Business Intelligence Analyst

• Data Scientist

• Machine Learning Engineer

• Business Analyst

• Data Engineer

• Analytics Consultant

• Risk Analyst

• Financial Data Analyst

• Senior Data Analyst

The experience gained in this role can help you build expertise in Data Analytics, Business Intelligence, Machine Learning, Financial Technology, and Enterprise Data Management.

𝐖𝐡𝐨 𝐒𝐡𝐨𝐮𝐥𝐝 𝐀𝐩𝐩𝐥𝐲?

• Fresh graduates interested in Data Analytics and Business Intelligence.

• Candidates with Python, SQL, or Machine Learning knowledge.

• Students with academic or personal data analytics projects.

• Individuals passionate about solving business problems using data.

• Professionals looking to build long-term careers in Analytics and Financial Technology.