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Specialized Analytics, Senior Analyst (15 month FTC)

Locations: Sydney, New South Wales Job Function: Decision Management Employee Status: Fixed Term (Fixed Term) Job ID: 19144974

We have an exciting new fixed term contract for 15 months in our Consumer Bank.

The Senior Analyst - Data Science is a key role to expand data science capabilities for credit cards, consumer lending and retail banking portfolios to provide insights, actionable intelligence and recommendations to business verticals at strategic and tactical level across customer life cycle right from acquisition, growth (cross-sell/ up-sell) to retention/ win-back.

This involves developing segmentation and predictive models that will help the Consumer Bank establish longstanding relationships with customers by offering the right product to the right customer when they need and how they need. This can be achieved by refining the customer targeting process resulting in enhanced return on marketing dollars invested both at tactical and strategic level.

RESPONSIBILITIES

  • Identify the opportunities for New to Bank/ New to Product acquisitions
  • Activation during early engagement phase to improve usage
  • Integrate offline analytics into digital acquisition for focused targeting
  • Leverage analytics and insights into social media, CBOL content customization
  • Understand and improve engagement on the overall product and online usage
  • Increase the breadth and depth of customer relationship with the bank – cross-sell / up-sell by building and leveraging predictive models, customer segmentation etc
  • Leverage 2nd party and 3rd party data elements that aid in acquisition and effective portfolio management by extending the right offers and enhance customer experience through augmented knowledge
  • Insights based effective Portfolio Management to enhance spends and relevance of offers
  • Ability to extend the analysis for campaign deep dives when required

KEY REQUIREMENTS

  • A degree in Business/ Finance/ Commerce/ Econometrics/ Mathematics/ Statistics or any other quantitative discipline
  • At least 7+ years analytics experience in financial services, banking, insurance, consulting or relative domain
  • Prior work experience in handling high volume databases preferably in a data warehouse environment;
  • Prior work experience on SAS at advance levels is a must;  work experience in Python is required
  • High levels of competency in Excel, Access, Word and PowerPoint
  • Experience in R, PySpark and Excel VBA will add value
  • Understanding of site catalyst, DMP etc and ability to leverage analytics in social and digital platforms will be an added advantage
  • Experience in distributed computing environments like big data preferably Hadoop is required
  • Experience and knowledge on financial services industry is a plus
  • Ability to multi-task across projects and should be able to work independently
  • Cohesively work with other team members in a team environment
  • Ability to work under demanding timelines, attention to detail and produce error free results

When you work at Citi, you will be working for an organisation that truly has a global footprint and a powerful network that spans the globe. We celebrate individual ingenuity and use the diversity of our people in order to drive high performance. Through dedicated support, training and resources, we promote our talent and future leaders to bring about lasting and positive impact. Citi Australia is an Employer of Choice for Women and supports a flexible work environment.

Personal information (as defined in the Privacy Act 1988) will be handled in accordance with our Privacy Policy. Please see www.citi.com.au/privacy

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Grade :All Job Level - All Job FunctionsAll Job Level - All Job Functions - AU

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Time Type :Full time

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Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

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