About the role

Digital Analytics Analyst leveraging Python and data analysis to enhance digital marketing strategies in the financial services sector. Collaborating with cross-functional teams to improve customer interactions and drive sales growth.

Responsibilities

Develop and execute sophisticated digital marketing strategies to significantly grow digital product sales and increase customer footfall and stickiness on our platforms.
Conduct deep-dive analyses of our website and mobile app to identify and eliminate points of friction in the customer service journey, making them more intuitive, efficient, and user-friendly.
Apply Gen-AI powered analysis to enhance customer interactions, particularly in areas like Chatbot performance and personalized user experiences.
Lead the industrialization and enhancement of our "Test & Learn" capability, enabling the rapid design, execution, and measurement of experiments for new digital features and marketing campaigns.
Interpret complex data sets to identify significant trends, patterns, and anomalies, translating these into clear, concise, and impactful insights that support informed decision-making for business partners and senior leadership.
Identifies and compiles data sets using a variety of tools (e.g. SQL, Python, PySpark) to help predict, improve, and measure the success of key business to business outcomes.
Utilize statistical methods and analytical tools to extract meaningful insights from large and complex datasets.
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.

Bachelor’s Degree with at least 3 years of working experience OR Master’s Degree with 2 years of working experience.
Hands-on Experience in Python, SQL & Machine Learning (ML) is a must.
Experience with PySpark is preferred.
Must have knowledge of digital marketing and Credit Card business, and industry best practices is highly beneficial.
Experience working and collaborating with multiple stakeholders.
Ability to guide and mentor the junior team members.
Ability to build partnerships with cross-functional teams.
Hands-on experience working with large, complex, unstructured datasets, data warehouses and ability to pull data using relevant programs and coding.
Experience in working on Investment Analytics, Retail Analytics, Credit Cards, Services, Banking & Markets Financial Services be nice to have.
Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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