Likeremote

Subscribe to the latest remote jobs:

  • Likeremote jobs on https://LinkedIn.com/
  • Likeremote jobs on https://telegram.org/
  • Likeremote jobs on Reddit.com
Citibank, N.A. United Kingdom logo

Business Analytics Analyst - Pyspark

Citibank, N.A. United Kingdom
  • 🇮🇳 India
  • Hybrid
  • 17 hours ago
  • SQL
  • Teradata
  • Hive
  • Python
  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • PySpark
  • Hadoop
  • SAS
  • Machine Learning
  • AI
  • PowerPoint
  • Excel
Not scoredNo CV on file. Upload one and this job gets a score out of 100.Upload CV

Technical / Tools Proficiency

  • SQL: Advanced querying (joins, window functions, CTEs, performance tuning) across large relational/Teradata/Hive data warehouses.
  • Python: Data wrangling (pandas/numpy), automation scripting, statistical analysis, and visualization (matplotlib/seaborn).
  • PySpark: Distributed data processing for large campaign/transaction datasets, working within Hadoop/Spark ecosystems.
  • SAS: Base SAS and SAS Macros for large-scale data manipulation, campaign tagging, and reporting automation.

 

Domain Knowledge – Banking & Card Products

  • Solid grounding in consumer banking/credit card business fundamentals: account lifecycle, interest income, fees, credit risk basics, and portfolio economics.
  • Understanding of the credit card marketing lifecycle: acquisition, activation, usage, retention, and attrition.

 

Campaign Analytics & Measurement

  • Design and execution of test-vs-control and champion-challenger frameworks for campaign effectiveness.
  • Incrementality/lift analysis, response modeling, and uplift measurement.
  • Campaign performance tracking: response rates, conversion, activation, spend, and profitability metrics.
  • Experience building recurring performance dashboards/scorecards for campaign monitoring and post-campaign readouts.

 

Statistical & Quantitative Analysis

  • Hypothesis testing, A/B testing methodology, and significance testing.
  • Segmentation and targeting analysis (behavioral, demographic, risk-based).
  • Regression/predictive modeling exposure (logistic regression, decision trees) for propensity/response scoring is a plus.
  • Data quality checks, reconciliation, and root-cause/variance analysis.

 

GenAI / Emerging Tools Familiarity

  • Working knowledge of Generative AI tools for analytics productivity — e.g., using LLM-based assistants for code generation/debugging (SAS/SQL/Python), documentation, and summarization of campaign results.
  • Exposure to prompt engineering basics for querying enterprise GenAI platforms (e.g., internal chat/assist tools) to accelerate exploratory analysis and reporting.
  • Awareness of GenAI use cases in marketing analytics: automated insight generation, natural-language querying of datasets and synthetic test data creation.
  • Curiosity/adaptability to continuously evaluate and adopt new AI-assisted analytics tools as the function modernizes its toolkit.

 

Communication

  • Ability to translate analytical findings into actionable business recommendations for marketing/product stakeholders.
  • Strong storytelling with data — clear presentation of insights to senior stakeholders (PowerPoint/Excel proficiency).
  • Cross-functional collaboration with Marketing, Risk, Finance, and Technology teams.
  • Project management skills to manage multiple concurrent campaign analytics requests under tight timelines.

 

Behavioral Attributes

  • Independent ownership of analytics workstreams with minimal supervision, commensurate with 5-7 years of hands-on experience.
  • Mentoring junior analysts and reviewing their analytical output.
  • Strong attention to detail and controls mindset given regulatory sensitivity of rate-based offers.
  • Proactive problem-solving and ability to work in ambiguous, fast-paced environments.

Experience Level: 5-7 years of relevant analytics experience, preferably in banking/cards/financial services.

------------------------------------------------------

Job Family Group:

Decision Management

------------------------------------------------------

Job Family:

Business Analysis

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Most Relevant Skills

Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------

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 reviewAccessibility at Citi.

View Citi’sEEO Policy Statement and theKnow Your Rights poster.

Business Analytics Analyst - Pyspark · Citibank, N.A. United Kingdom

Auto apply with Likeremote