USCA Strategic Analytics C10

What do we do?

• The US Consumer Strategic Analytics team provides analytical insights to the Marketing, Digital and Customer Experience functions within the Citi US Consumer business. The team works on business problems focused on driving higher revenues, lower expenses and improvements in customer experience across the customer life cycle & their interactions on all channels.
• The team extracts relevant insights, identifies business opportunities, converts business problems into modeling framework, uses big data tools, latest deep learning and machine learning algorithms to build predictive models, implements solutions and designs go-to-market strategies for a huge variety of business problems.

ROLE DESCRIPTION

• The role will be Spec Analytics Analyst 2 (C10) in the US Consumer Strategic Analytics team
• The role will report to the AVP leading the team

RESPONSIBILITIES

Specific responsibilities will include but are not limited to:

• Client Obsession â€“ Create client centric analytic solution to business problems. Individual should be able to have a holistic view of multiple businesses and develop analytic solutions accordingly.
• Analytic Project Execution â€“ Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems in modeling, and implementing such solutions to create economic value.
• Domain expert â€“ Individuals are expected to be domain expert in their sub field, as well as have a holistic view of other business lines to create better solutions. Key fields of focus are new customer acquisition, existing customer management, customer retention, product development, pricing and payment optimization and digital journey.
• Modeling and Tech Savvy â€“ Always up to date with the latest use cases of modeling community, machine learning and deep learning algorithms and share knowledge within the team
• Statistical mind set â€“ Proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.
• Communication skills â€“ Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management.
• Strong project management skills.
• Ability to coach and mentor juniors
• Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.

Experience:

• Bachelor’s Degree with 3+ years of experience in data analytics, or Master’s Degree with 2+ years of experience in data analytics, or PhD.
• Must have:
  • Marketing analytics experience
  • Digital Marketing and/or Digital Experience domain knowledge
  • Experience with Clickstream data
  • Experience on working in big data environment like Hadoop
  • Predictive modeling using Machine Learning
• Good to have:
  • Experience in Customer Journey analytics
  • Experience with unstructured data analysis, e.g. call transcripts
  • Natural language Processing (NLP)/ Text Mining
  • Experience in financial services

Skills:

Analytical Skills:

• Have the ability to work hands-on to retrieve and manipulate data from big data environments
• Possess analytic ability and problem-solving skills
• Working experience in a quantitative field
• Proficient in Formulating Analytical methodology, identifying trends and patterns with data

Tools and Platforms:

• Proficient in SAS, Python/R, SQL
• Proficient in MS Excel, PowerPoint
• Good to have:
  • Exposure to journey analytics tools like ClickFox/ BryterCX/ Pointillist
  • Experience in Hive

Soft Skills:

• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Be organized, detail oriented, and adaptive to matrix work environment