Digital Marketing Data Analyst - Python and Pyspark

Citigroup Inc.; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Citigroup Inc. in Bengaluru is seeking a Spec Analytics Analyst to monitor, assess, analyze and evaluate processes and data.

You will identify policy gaps, interpret data, and formulate recommendations while integrating disciplinary knowledge within the specialty and collaborating with teams to achieve objectives. The role involves handling large data sets, data extraction with SQL/Python, and applying statistical methods and visualization techniques to guide business decisions.

Qualifications

• 2–5 years relevant experience.
• Ability to retrieve and manipulate data.
• Analytical 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.
• Bachelors/University degree or equivalent experience.

Responsibilities

• Incumbents work with large and complex data sets to evaluate, recommend, and support the implementation of business strategies.
• Identifies and compiles data sets using tools to help predict, improve, and measure key business outcomes.
• Responsible for documenting data requirements, collection/processing/cleaning, and exploratory data analysis; may include statistical models and data visualization.
• Incumbents in this role may be referred to as Data Scientists.
• Specialization in marketing, risk, digital and AML fields possible.
• Assess risk when business decisions are made, ensuring compliance with laws and regulations.

Skills

Data analysis

Analytical ability

Problem solving

Communication

Cross-functional

Education

Bachelor's degree

Tools

Python/PySpark

SQL

Hadoop

Adobe

MS Excel

PowerPoint

Job description

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

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.

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