C1/Senior Consultant

Marketing Strategy, Campaign Analysis, and Performance Reporting

• Design and implement data-driven marketing strategies for banking products by analyzing historical campaign data.
• Build and refine targeted campaign audiences aligned with approved marketing strategies.
• Leverage AI/ML models to optimize campaign performance and maximize return on investment.
• Conduct in-depth data analysis using SAS to uncover trends, patterns, and actionable insights, including:
  • Customer segmentation using decision tree methodologies
  • Statistical A/B testing to evaluate campaign effectiveness
• Translate business requirements into clear technical specifications and deliver robust, data-backed solutions.
• Prepare and present high-impact executive-level presentations and ad hoc reports tailored to various stakeholder groups

Responsibilities

• Stakeholder Engagement

  • Collaborate effectively with internal teams to gather inputs and ensure alignment and consistency across all deliverables.
  • Communicate complex analytical insights clearly and concisely to both technical and non-technical stakeholders, fostering informed decision-making.

  Project & Action Tracking

  • Oversee project timelines and ensure timely execution of key deliverables and milestones.
  • Work cross-functionally to monitor progress, resolve roadblocks, and provide regular updates to stakeholders.

   

  Attention to Detail

  • Demonstrate a meticulous approach to data handling, ensuring high levels of accuracy and reliability.
  • Manage multiple projects simultaneously with minimal supervision, maintaining quality and consistency across tasks.

Qualifications

• Required Skills & Qualifications

  • MBA or a bachelor’s degree in computer science, Data Science, or a related field.
  • Minimum of 7 years of experience in the analytics domain.
  • At least 4 years of hands-on experience with SAS, SQL, or Python for data analysis.
  • Strong analytical mindset with excellent problem-solving skills and attention to detail.
  • Exceptional communication skills with the ability to convey complex data insights to both technical and non-technical audiences.
  • In-depth understanding of the BFSI domain is essential.
  • Demonstrated ability to independently manage data structuring and analytical tasks.
  • Conduct deep-dive analyses to support strategic decision-making, process improvements, and performance optimization.
  • Identify and implement opportunities for automation and efficiency in data collection and reporting workflows.
  • Bonus: Experience with SAS or Snowflake automation in data environments.
  • Bonus: Exposure to personal loan marketing or product analytics.