Data Analytics Analyst

Citi; Haryana; On-site; INR 350,000 - 500,000; Full time

Job summary

Citi is looking for an Analytics Trainee in Haryana, India. The role involves working with large data sets to evaluate and support business strategies, using SQL and Access to build data sets, and performing exploratory data analysis. You will contribute as a data-focused team member with guidance from established precedents.

The role emphasizes concise communication, audience awareness, and adherence to regulatory and ethical standards while contributing to the Specialty Analytics team.

Qualifications

• Bachelor's degree or equivalent experience.
• Ability to retrieve and manipulate data.
• Working experience in a quantitative field is preferred.
• Analytical ability and problem-solving skills.
• Excellent communication and interpersonal skills, organized and detail-oriented.

Responsibilities

• Work with large and complex data sets to evaluate, recommend, and support business strategies.
• Identify and compile data sets using tools (e.g., SQL, Access) to predict and measure outcomes.
• Document data requirements, collection, processing, cleaning, and exploratory analysis.
• Assist as Data Scientist in projects and collaborate with teams across functions.
• Support risk, marketing, digital and AML topics as needed.

Skills

SQL

Data manipulation

Analytical ability

Communication

Education

Bachelor's degree or equivalent

Tools

Access

Job description

The Spec Analytics Analyst is a trainee professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Makes evaluative judgements based on the analysis of factual information. They are expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Must be able to exchange information in a concise way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own job.

Responsibilities:

• Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
• Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
• Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
• Incumbents in this role may often be referred to as Data Scientists
• Specialization in marketing, risk, digital and AML fields possible
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• Previous related experience preferred
• Have the ability to retrieve and manipulation data
• Working experience in a quantitative field
• Possess analytic ability and problem solving skills
• Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment

Education:

• Bachelors/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Job Family Group:

Decision Management

Job Family:

Specialized Analytics (Data Science/Computational Statistics)

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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