INACTIVE
Business Analytics Analyst - PySpark
No salary listed
Senior
Bengaluru, Karnataka, India
Hybrid
Data & AnalyticsData Analysis
About the job
Requirements
- Advanced SQL querying, including joins, window functions, common table expressions, and performance tuning across large relational, Teradata, and Hive data warehouses.
- Python skills for data wrangling with pandas and NumPy, automation scripting, statistical analysis, and visualization with Matplotlib and Seaborn.
- PySpark skills for distributed processing of large campaign and transaction datasets in Hadoop and Spark ecosystems.
- Base SAS and SAS Macros skills for large-scale data manipulation, campaign tagging, and reporting automation.
- Grounding in consumer banking and credit card fundamentals, including account lifecycle, interest income, fees, credit risk basics, and portfolio economics.
- Understanding of the credit card marketing lifecycle, including acquisition, activation, usage, retention, and attrition.
- Experience designing and executing test-versus-control and champion-challenger campaign effectiveness frameworks.
- Experience with incrementality and lift analysis, response modeling, and uplift measurement.
- Experience tracking campaign performance using response rates, conversion, activation, spend, and profitability metrics.
- Experience building recurring campaign performance dashboards and scorecards for monitoring and post-campaign readouts.
- Knowledge of hypothesis testing, A/B testing methodology, and significance testing.
- Knowledge of segmentation and targeting analysis, including behavioral, demographic, and risk-based approaches.
- Data quality checking, reconciliation, and root-cause and variance analysis.
- Working knowledge of generative AI tools for analytics productivity, including LLM assistants for code generation and debugging in SAS, SQL, and Python, documentation, and summarizing campaign results.
- Exposure to prompt-engineering basics for querying enterprise generative AI platforms to accelerate exploratory analysis and reporting.
- Awareness of generative AI use cases in marketing analytics, including automated insight generation, natural-language dataset queries, and synthetic test-data creation.
- Ability to translate analytical findings into actionable recommendations for marketing and product stakeholders.
- Ability to present data insights clearly to senior stakeholders, with PowerPoint and Excel proficiency.
- Ability to collaborate cross-functionally with Marketing, Risk, Finance, and Technology teams.
- Project management skills to manage multiple concurrent campaign analytics requests under tight timelines.
- Five to seven years of hands-on relevant analytics experience, preferably in banking, cards, or financial services.
- Ability to independently own analytics workstreams with minimal supervision and mentor junior analysts and review their analytical output.
- Attention to detail and a controls mindset for rate-based offers in a regulated context.
- Proactive problem-solving and ability to work in ambiguous, fast-paced environments.
Desired Qualifications
- Exposure to regression and predictive modeling, including logistic regression and decision trees, for propensity or response scoring.
About the company
Citi runs banking, investment and payment services for companies, governments and individuals around the world. Its global network connects institutions with local banking systems, while its US consumer business sells credit cards and deposit accounts. Corporate clients use Citi to manage cash, finance trade and raise capital, and investors use its trading, custody and wealth services to hold and manage assets. The bank earns interest on loans and fees from payments, securities transactions, financial advice and account services. Citi traces its banking roots to 1812; the Citigroup holding company was formed in 1998, and its headquarters are in New York City.
Company Size
10,001+
Company Stage
IPO
Headquarters
New York City, New York
Founded
1812
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Simplify's Take
What believers are saying
- Revenue is expanding: Citi reported $24.8 billion in the June 2026 quarter, up 14% year over year.
- US parents get protected time: eligible Citi employees receive 16 weeks of bonding leave at full base pay.
- Institutional deposits are sticky: Citi says around 80% of Services deposits come from clients with relationships exceeding 15 years.
What critics are saying
- Lending losses remain substantial: Citi's net credit losses reached $2.4 billion in the June 2026 quarter.
- Australian hybrid roles require office time: Citi sets a minimum of three office days weekly for designated hybrid positions.
- Job cuts carry a cost: Citi booked roughly $500 million in severance in the March 2026 quarter.
What makes Citi unique
- Corporate payments move at scale: Citi processes around $6 trillion daily through its Treasury and Trade business.
- Deposits move beyond banking hours: Citi Token Services transfers cash between participating Citi branches around the clock.
- Employees use a shared AI workspace: Citi's Stylus platform reaches over 180,000 people for research and multi-step workflows.
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Benefits
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Disability Insurance
- 401(k) Retirement Plan
- 401(k) Company Match
- Wellness Program
- Paid Vacation
- Paid Sick Leave
- Paid Holidays
INACTIVE