Spec Analytics Analyst

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Job Overview

The Spec Analytics Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.

Few notables among the multiple areas that we work in –

• Drive Digital Marketing, Product Sales & Engagement:
  • Develop and execute sophisticated digital marketing strategies to significantly grow digital product sales and increase customer footfall and stickiness on our platforms.
  • Analyze user behavior and campaign performance to identify new opportunities for engagement and revenue generation.
• Optimizing Digital Servicing Channels (Website & Mobile App):
  • Conduct deep-dive analyses of our website and mobile app to identify and eliminate points of friction in the customer service journey, making them more intuitive, efficient, and user-friendly.
  • Analyze customer interaction data to find opportunities to streamline the digital experience, reducing the need for customers to resort to calls or chats.
• Leverage Advanced Analytics and AI:
  • Apply Gen-AI powered analysis to enhance customer interactions, particularly in areas like Chatbot performance and personalized user experiences.
  • Use analytical intelligence to uncover deep insights that inform strategies for reducing our cost-to-serve and improving overall efficiency across the customer lifecycle.
• Fostering a Culture of Experimentation:
  • Lead the industrialization and enhancement of our "Test & Learn" capability, enabling the rapid design, execution, and measurement of experiments for new digital features and marketing campaigns.

Utilize A/B testing, multivariate testing, and other experimentation techniques to generate actionable insights and drive continuous improvement.

Responsibilities:

• Interpret complex data sets to identify significant trends, patterns, and anomalies, translating these into clear, concise, and impactful insights that support informed decision-making for business partners and senior leadership.
• Identifies and compiles data sets using a variety of tools (e.g. SQL, Python, PySpark) to help predict, improve, and measure the success of key business to business outcomes
• Utilize statistical methods and analytical tools to extract meaningful insights from large and complex datasets.
• Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include utilizing statistical models / algorithms and data visualization techniques
• Incumbents in this role may often be referred to as Data Scientists

Technical Skills:

• Hands-on Experience in Python, SQL & Machine Learning (ML) is a must. Experience with PySpark is preferred.
• Writing clean, efficient, and well-documented code according to design specifications and coding standards.
• Knowledge of digital marketing and Credit Card business, and industry best practices is highly beneficial.
• Experience working and collaborating with multiple stakeholders.
• Ability to guide and mentor the junior team members. Ability to build partnerships with cross-functional teams.

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

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

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