Digital Analytics Analyst, Python, PySpark
Citi
full-time
Posted on:
Location Type: Hybrid
Location: Gurgaon • India
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About the role
- 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.
Requirements
- 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.
Benefits
- 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.
- If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
- View Citi’s EEO Policy Statement and the Know Your Rights poster.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLMachine LearningPySparkData AnalysisStatistical MethodsData VisualizationData CleaningData ProcessingExploratory Data Analysis
Soft Skills
CommunicationInterpersonal SkillsOrganizational SkillsDetail OrientedAdaptabilityMentoringCollaborationPartnership BuildingLeadershipStakeholder Engagement