Senior Digital Marketing Data Analyst - Python and Pyspark

Citi Open · verified Sep 11, 2026

Hybrid Bangalore Karnataka India Full-time Senior Digital Marketing

Senior Digital Marketing role at Citi. Bangalore Karnataka India · full-time.

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

You'll evaluate internal and external data to support business strategy decisions
You'll compile data with SQL and Access to predict and measure business outcomes
You'll document data needs, collect and clean information, and run exploratory analysis
You'll use statistical methods, predictive models, and visualizations to interpret results
You'll apply policy, regulatory, and ethical controls when making risk-related decisions

What you bring

At least five years of relevant experience, ideally with financial-domain knowledge
You bring Python, PySpark, SQL, and hands-on big-data experience such as Hadoop
You understand quantitative methods and predictive modeling, including decision trees and logistic regression
You can retrieve and manipulate data while applying analytical and problem-solving skills
You hold a bachelor's or university degree, or equivalent experience

Who this fits

This full-time role is hybrid in India and suits a quantitative analyst who can work with complex data and communicate findings clearly. Digital marketing or digital experience knowledge is preferred. You should be comfortable collaborating with cross-functional leaders in a matrix environment while staying organized, adaptable, and detail-focused.

From the employer

The Spec Analytics Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.

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:

5+ years relevant experience
Have the ability to retrieve and manipulation data
Possess analytic ability and problem solving skills
Working experience in a quantitative field
Willing to learn and can-do attitude
Excellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environment
Ability to build partnerships with cross-function leaders

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.

5+ years of relevant experience, preferred financial domain knowledge
Preferred Digital Marketing and/or Digital Experience domain knowledge
Proficient in Python/Pyspark, SQL and hands-on experience on big data environment like Hadoop
Hands-on experience on Statistical techniques and Predictive modeling using Machine Learning like - Decision Tree, Logistic Regression etc.
Proficient in MS Excel, PowerPoint

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

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

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