Digital Marketing Data Analyst - Python and Pyspark

Citi Open · verified Sep 11, 2026

Hybrid Bangalore Karnataka India Full-time Mid-level Digital Marketing

Mid-level 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 examine large internal and external datasets to evaluate and support business strategies
You'll assemble data with SQL and Access to predict, improve, and measure business-to-business results
You'll manage data requirements, collection, preparation, cleaning, and exploratory analysis
You'll use statistical methods, predictive models, and visualizations to explain findings
You'll flag inconsistent results, clarify business problems, and recommend policy or process changes

What you bring

Bring two to five years of relevant experience and a bachelor's degree or equivalent background
Work hands-on with Python/Pyspark and SQL in a big-data setting such as Hadoop
Use statistical methods and machine learning models such as decision trees and logistic regression
Show strong analysis, problem solving, communication, organization, and attention to detail
Build effective relationships across teams while working in a matrix environment

Who this fits

You’ll fit a developing analytics role focused on digital marketing data, with financial-domain and digital experience knowledge preferred. The work suits an organized, detail-focused problem solver who can adapt across teams and apply sound judgment around compliance and risk. This is a full-time hybrid position in India, with impact centered on your own team.

From the employer

The Spec Analytics Analyst is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team.

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:

2 - 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
Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment
Ability to build partnerships with cross-functional teams

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.

2+ 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.
Preferred experience in Adobe
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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