Data Analyst at Citi

Citi · Gurugram, Haryana, India

📋 Job Details at a Glance 📍 Location Gurugram, Haryana, India 🏢 Company Citi 👥 Experience 0-2 years 🎓 Qualification 0–2 years. Hands-on with Python. Relevant technical / engineering background 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python Data Analysis Database Administration Data Quality SQL Data Reporting Data Analyst at Citi — Full Details & How to Apply Citi is hiring a Data Analyst in Gurugram, Haryana, India for onsite work, with a specific opportunity for candidates who have hands-on experience with Python and a relevant technical background. This role is part of Citi recruitment in the technology sector, offering practical exposure to core data operations in a structured environment. The Data Analyst role is crucial for monitoring and analyzing data processes, ensuring data quality and integrity. Responsibilities include database administration , data reporting , and identifying policy gaps, all of which directly influence business decision-making. The role relies on tools such as Python , SQL , and Data Reporting to manage and validate data workflows, supporting operational efficiency through accurate data handling. The job posting confirms that this position is part of Citi 's technology operations, with responsibilities focused on data analysis and database administration . The role is designed for early-career professionals entering the field, emphasizing hands-on technical skills over prior industry experience. Citi values candidates with a technical foundation in engineering or related fields for this position. 2022, 2023, 2024, 2025 graduates are eligible. Candidates must have 0–2 years. Hands-on with Python. Relevant technical / engineering background and 0-2 years experience . The salary for this role is Not Disclosed . Applicants will gain hands-on experience with Python , SQL , Data Analysis , Database Administration , Data Quality , and Data Reporting . This role builds a strong foundation in data management, preparing candidates for progression into more advanced data roles such as Data Engineer or Business Analyst in future career paths. 📊 Role Difficulty: Low | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Explore more Data Analyst jobs and Gurugram, Haryana, India jobs through Citi recruitment on our platform. Job Role & Responsibilities The Data Analyst at Citi ensures data integrity by monitoring data quality metrics such as completeness, accuracy, and consistency across systems. This role directly supports data-driven decision-making through structured analysis and operational database maintenance. Monitor data processes using data quality metrics like missing value rates and outlier detection to assess data reliability in real-time systems. Conduct data analysis using Python scripts to automate ETL workflows and generate time-series reports for business units. Collaborate with team members to identify data inconsistencies in transactional databases and recommend fixes using SQL queries. Evaluate raw data inputs to define business issues such as fraud patterns or service delays, using SQL and Data Analysis techniques. Maintain database systems by performing routine backups, index optimization, and schema updates in Database Administration tasks. Document data findings and create data reporting outputs in formats such as CSV, Excel, or PDF for executive review. Troubleshoot data integrity issues by diagnosing errors in SQL queries and implementing Data Quality checks in pipelines. Support database architecture by configuring access controls and validating schema designs for operational stability. This role demands direct ownership of data quality and database performance , with every action contributing to measurable improvements in data integrity and operational efficiency . Required Skills & Technical Competencies The Data Analyst role at Citi requires a strong foundation in Python , SQL , and Data Analysis to execute technical tasks. All skills must be demonstrated through hands-on application in real data environments. Technical Skills Python — entry — used for automating data cleaning, generating reports, and executing data validation scripts in data analysis workflows. Data Analysis — entry — applied to interpret structured datasets and derive actionable insights using statistical methods and data quality benchmarks. SQL — entry — used to query relational databases , extract transactional data, and perform joins to support business reporting. Database Administration — entry — applied in routine tasks such as backup scheduling, user access management, and schema maintenance in database systems . Data Quality — entry — used to define and measure metrics like data completeness, consistency, and accuracy across data sources. Data Reporting — entry — implemented to produce structured outputs such as CSV files or Excel sheets for stakeholder review and decision-making. When preparing your resume, emphasize Python and SQL projects with measurable outcomes, such as reducing data processing time by 30% or improving data completeness from 70% to 95%. Eligibility Criteria This role is designed for freshers with a technical or engineering background who have hands-on experience with Python and SQL in academic or project settings. It is accessible to candidates from any discipline with a strong foundation in data tools. Must hold a degree in engineering or a related technical field with a focus on data or computing. Eligible batches are 2022 , 2023 , 2024 , and 2025 . Experience requirement is 0–2 years , explicitly including freshers with no prior industry experience. Academic performance is not specified, so CGPA is not a requirement. Project work, internships, or certifications are not required but can be included in portfolio. Must demonstrate hands-on use of Python and SQL in academic projects or personal initiatives. Documentation & Portfolio Requirements Your resume must include a clear section on Python and SQL projects, listing tools used, data sources, and data quality outcomes. Include at least one project where you used SQL to query a database and Python to generate a report. For this role, prioritize showcasing a Python script that processes raw data and a SQL query that retrieves and validates transactional records — both must include measurable results such as data completeness or processing time. Salary for Data Analyst at Citi 💰 Compensation Not Disclosed The advertised compensation for the Data Analyst role at Citi is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data Analyst Upskilling with the right resources significantly enhances your chances of selection for the Data Analyst role at Citi . Recommended Courses & Resources Python — Essential for data manipulation and analysis in this role. SQL — Critical for managing and querying databases effectively. KodNest — Provides hands-on experience with data processes and insights. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating proficiency in Python — Provide specific examples of usage. ❌ Using a generic resume — Tailor your experience to match the job responsibilities. ❌ Listing SQL or data analysis skills without context — Include where these skills were applied in past roles. ❌ Ignoring qualification requirements — Ensure you meet the specified criteria. ❌ Adding unrelated technologies — Focus on relevant skills to avoid confusion. ❌ Failing to verify the official Apply URL — Always check the link before submitting your application. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting your application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Data Analyst Optimizing your resume for ATS is crucial for securing the Data Analyst position at Citi . ATS Keywords to Include Python Data Analysis Database Administration Data Quality SQL Data Reporting Data Processes Data Integrity Data Insights Database Management Operational Tasks Policy Recommendations Resume Tips for This Role Highlight Python prominently on your resume, as it is a critical skill. Emphasize experience with SQL and data analysis to align with job responsibilities. Include a project that involved data analysis or database management to showcase relevant experience. Use exact keywords from the job description naturally to enhance ATS alignment. Avoid adding unsupported claims or unrelated technologies that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated technologies or unsupported claims in your resume for this role. How to Apply for Data Analyst at Citi Apply Now — Citi Open the official Apply URL and confirm the job title and company is correct. Prepare a resume aligned with the required skills, responsibilities, qualifications, and experience. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if provided. Record the application date and monitor the official company portal or registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — Citi NexisGrow.com does not charge any fees for job applications. Citi Citi is a technology company based in Gurugram, Haryana, India. It operates with an onsite work mode and serves the financial services industry. This Data Analyst role supports core data operations within the company’s technology infrastructure. The team manages database administration , data analysis , data quality , and data reporting . Responsibilities include maintaining databases, analyzing data, ensuring data consistency, and preparing reports through routine operational tasks. This role contributes to internal data management processes, supporting accurate data operations within the team. It enables early-career professionals to gain hands-on experience in data analysis and database administration . The role offers early-career exposure to Python , SQL , and data reporting tools. It builds foundational skills in data quality , database management, and data analysis —key competencies in the technology sector. Company Details Industry Technology Location Gurugram, Haryana, India Connect With Us Careers Apply Now Website 🔗 citi.wd5.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background and those from the eligible batches of 2022, 2023, 2024, and 2025 can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Python, SQL, Data Analysis, Database Administration, and Data Quality are the most important skills for this role. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is 'Not Disclosed'. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review Python and SQL fundamentals. 2. Prepare examples of data analysis projects. 3. Understand data quality metrics. 4. Familiarize yourself with database management concepts. 5. Be ready to discuss how to identify and solve data inconsistencies. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Gurugram, Haryana. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to data analysis, database management, and the opportunity to work on data quality initiatives. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Python, SQL, data analysis, and any relevant projects or internships. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with team members, though specific work culture details are not provided. ? Can freshers apply for this role? Fresher Tap to expand + Answer Yes, freshers can apply as the experience requirement is 0-2 years. 🔗 Explore More on NexisGrow More jobs in Gurugram Browse all Tech jobs More jobs at Citi Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com