Citi is hiring for a Spec Analytics Analyst role within its Analytics and Information Management (AIM) function. The position is part of Citi’s North America Consumer Bank – Customer Experience (CX) Analytics team, which focuses on using customer feedback and interaction data to identify trends, pain points, and opportunities for improving customer experience. The role involves working with large and complex datasets, data analysis, machine learning, Python, and SQL. Candidates should have either a bachelor’s degree with at least 3 years of experience or a master’s degree with 2 years of experience. The position is classified under Decision Management and Specialized Analytics (Data Science/Computational Statistics).

Job Details

The supplied vacancy does not provide a job ID, specific work location, salary, application deadline, or eligible graduation batch.

About Citi

Citi describes its mission as serving as a trusted partner to clients by providing financial services that support economic growth and progress.

According to the supplied job description, Citi has approximately 219,000 employees globally and has around 200 years of experience in financial services.

About Analytics and Information Management

Citi’s Analytics and Information Management (AIM) function was established in 2003 and operates across multiple Indian cities, including Bengaluru, Chennai, Pune, and Mumbai.

The AIM function connects and analyzes information to create actionable intelligence for business leaders. It uses analytics to identify opportunities and balance customer needs, business strategy, and business objectives.

About the Spec Analytics Analyst Job

The Spec Analytics Analyst is described as a developing professional role within Citi’s Specialized Analytics function. The position involves monitoring, assessing, analyzing, and evaluating processes and data.

The analyst is expected to interpret factual information, identify inconsistencies in data or results, define business issues, and formulate recommendations relating to policies, procedures, or practices.

The role is part of the North America Consumer Bank – Customer Experience Analytics function. This team analyzes customer feedback and interaction data across channels such as phone, online, and branch interactions to identify customer-experience trends and opportunities for improvement.

The position also involves working with large datasets and applying technologies such as Python, SQL, and machine learning.

Key Responsibilities

According to the supplied job description, responsibilities include:

• Working with large and complex internal and external datasets to evaluate, recommend, and support business strategies.
• Identifying and compiling datasets using tools such as SQL and Access.
• Using data to help predict, improve, and measure key business outcomes.
• Documenting data requirements and data collection processes.
• Supporting data processing and data cleaning activities.
• Performing exploratory data analysis.
• Using statistical models and algorithms where applicable.
• Applying data visualization techniques to communicate analytical findings.
• Identifying inconsistencies in data or analytical results.
• Defining business issues and formulating recommendations.
• Assessing risk when business decisions are made.
• Following applicable laws, rules, regulations, and Citi policies.
• Applying sound ethical judgment in business practices.
• Escalating, managing, and reporting control issues transparently.

Required Skills

Technical Skills

The vacancy specifically states that hands-on experience in the following areas is a must:

• Python
• SQL
• Machine Learning (ML)

The following skills and technologies are listed as preferred or relevant:

• PySpark
• Natural Language Processing (NLP)
• Large Language Models (LLM)
• Generative AI
• Prompt engineering
• Git and version control
• Jenkins
• Automated build processes
• Dev and UAT testing
• Deployment pipelines
• Release procedures
• Production troubleshooting
• APIs
• Data-flow integrity
• Model deployment and maintenance
• Software Development Life Cycle (SDLC)
• Sprint deployment cycles

Candidates with a background in customer experience analytics are preferred, while exposure to the credit card business is described as a strong plus.

Analytical & Professional Skills

The role also requires:

• Analytical ability
• Problem-solving skills
• Quantitative thinking
• Communication skills
• Interpersonal skills
• Organization
• Attention to detail
• Adaptability in a matrix work environment
• Cross-functional collaboration
• Partnership-building skills

Eligibility Criteria

Candidates should meet one of the following experience and education combinations:

• Bachelor’s degree + at least 3 years of working experience, or
• Master’s degree + 2 years of working experience.

The vacancy also specifies:

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• Working experience in a quantitative field.
• Strong analytical and problem-solving ability.
• Good communication and interpersonal skills.
• Ability to work in a matrix environment.
• Ability to build partnerships with cross-functional teams.

Preferred Educational Background

A bachelor’s/university degree in computer science engineering or IT is preferred.

Eligible Graduation Batch

The supplied vacancy does not specify a particular graduation batch.

Therefore, candidates should not assume a specific batch such as 2024, 2025, or 2026.

Salary & Benefits

Salary

Citi has not specified the salary/CTC in the supplied job notification.

No salary estimate has been added.

Benefits

The supplied vacancy does not provide a detailed list of employee benefits.

Therefore, benefits such as bonuses, insurance, stock compensation, paid leave, or joining benefits have not been assumed.

Selection Process

The supplied Citi vacancy does not specify a detailed selection process.

Candidates should not assume a particular number or type of interview rounds, assessments, or tests unless Citi communicates those stages during recruitment.

Who Should Apply?

This role may be relevant to candidates who:

• Meet the stated bachelor’s-plus-3-years or master’s-plus-2-years experience requirement.
• Have hands-on experience with Python, SQL, and machine learning.
• Have worked with large and complex datasets.
• Have experience in quantitative or analytics-oriented roles.
• Understand data cleaning, exploratory analysis, and statistical methods.
• Have experience with data visualization.
• Understand software development and deployment practices.
• Have exposure to PySpark, NLP, LLMs, or generative AI.
• Have experience with CX analytics or financial-services data.
• Can collaborate with cross-functional teams.
• Have strong analytical and communication skills.

Candidates with credit card business exposure may also find the role particularly relevant because the vacancy identifies this experience as a strong plus.

Resume Tips

For this Citi role, your resume should clearly demonstrate hands-on analytics and technical experience rather than listing tools without project or work context.

Resume Keywords

Use these keywords where they genuinely match your experience:

• Python
• SQL
• Machine Learning
• Data Science
• Data Analytics
• PySpark
• NLP
• Large Language Models
• Generative AI
• Prompt Engineering
• Git
• Jenkins
• Data Cleaning
• Exploratory Data Analysis
• Statistical Models
• Data Visualization
• APIs
• SDLC
• UAT
• Deployment Pipelines
• Customer Experience Analytics

Practical Resume Tips

1. Clearly mention your degree, specialization, and total relevant experience.
2. Highlight Python, SQL, and machine learning projects or professional work.
3. Quantify your work with datasets where possible, without exaggerating results.
4. Mention experience with data cleaning, exploratory analysis, and model development.
5. Include relevant deployment, testing, or production support experience.
6. Add PySpark, NLP, LLM/Gen AI, or prompt-engineering experience if you genuinely have it.
7. Highlight financial services, customer experience, or credit card analytics experience where applicable.
8. Show examples of cross-functional collaboration and business recommendations.

How to Apply

The supplied vacancy does not include a direct application URL or job ID.

Candidates should use the official Citi Careers website to locate the Spec Analytics Analyst vacancy and verify that the job is still accepting applications before submitting their application.

When applying:

1. Open the official Citi Careers portal.
2. Search for Spec Analytics Analyst.
3. Verify that the job description matches the Specialized Analytics / Data Science role described above.
4. Review the current location and application status.
5. Check that you meet the stated education and experience requirements.
6. Upload an updated resume highlighting Python, SQL, and machine learning experience.
7. Complete the requested application information.
8. Submit the application through Citi’s official careers portal.

Apply Now

Official Application Source: Citi Machine Learning Analyst

Company: Citi
Job Role: Spec Analytics Analyst
Job Family: Specialized Analytics (Data Science/Computational Statistics)
Experience: Bachelor’s + 3 years OR Master’s + 2 years
Core Skills: Python, SQL, Machine Learning

66 Degrees IT Service Desk Intern Recruitment 2026 – Bangalore

Important Note

The job details above are based on the vacancy information supplied for this article. The supplied notification does not specify the job ID, location, salary/CTC, application deadline, graduation batch, or detailed selection process.

Job availability and requirements can change. Candidates should verify the current vacancy on Citi’s official Careers website before applying. Citi is an equal opportunity employer, as stated in the supplied job description.

Frequently Asked Questions

1. What is the Citi job role?

The position is for a Spec Analytics Analyst within Citi’s Specialized Analytics function.

2. Which team is this role part of?

The role is associated with the North America Consumer Bank – Customer Experience (CX) Analytics function.

3. What are the mandatory technical skills?

The vacancy states that hands-on experience in Python, SQL and Machine Learning is a must.

4. What additional technical skills are preferred?

Experience with PySpark, NLP, LLM/Generative AI and prompt engineering is preferred. The role also mentions Git, Jenkins, testing, deployment pipelines, APIs and production model maintenance.

5. What is the educational qualification?

A bachelor’s degree with at least 3 years of working experience or a master’s degree with 2 years of working experience is required.

6. Is Computer Science or IT preferred?

Yes. The education section states that a Bachelor’s/University degree in Computer Science Engineering or IT is preferred.

7. Is this a fresher job?

No. The supplied vacancy requires at least 3 years of experience with a bachelor’s degree or 2 years with a master’s degree.

8. Is Customer Experience Analytics experience required?

The vacancy describes CX Analytics experience as preferred, rather than stating it as a mandatory qualification.

9. Is credit-card experience required?

Credit-card business exposure is described as a strong plus, but the supplied vacancy does not state it as a mandatory qualification.

10. What is the salary for the Citi Spec Analytics Analyst role?

The supplied job notification does not specify the salary or CTC.

11. What is the work location?

The specific location for this vacancy is not provided in the supplied job description. Citi AIM operates across Bengaluru, Chennai, Pune and Mumbai, but this should not be interpreted as the confirmed location for this particular role.

12. What is the selection process?

The supplied vacancy does not provide a detailed selection process. Candidates should follow the recruitment instructions communicated by Citi.

Disclaimer

The information provided in this post is for informational purposes only and is based on publicly available job information. JobHunt Daily does not guarantee selection or employment.

Candidates should verify the latest job details on the company’s official careers website before applying. We do not charge any fee for providing job information.

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