Client Quantitative Analyst I

• Design, engineer, develop, and certify enterprise data products for broad consumption across analytics, reporting, AI, and business intelligence use cases.
• Partner with Enablement & Governance teams to ensure appropriate documentation, controls, processes, and standards are incorporated throughout the data product lifecycle.
• Collaborate with Subject Matter Experts to establish business definitions, rules, metrics, and semantic layers that provide context and make data products AI- and BI-ready.
• Support the evolution of analytics by evaluating and applying emerging technologies, AI capabilities, analytical methodologies, and best practices.
• Contribute to the development of standards, playbooks, and reusable frameworks that advance enterprise analytical capabilities.
• Partner with Product Strategy leaders to evaluate the performance and effectiveness of existing product strategies and recommend opportunities for optimization.
• Analyze portfolio performance, customer behavior, engagement trends, and product outcomes to identify opportunities for growth, risk mitigation, and improved customer experience.
• Perform deep-dive analyses to understand customer journeys, behavioral patterns, and drivers of product adoption, usage, retention, and attrition.
• Identify under-engaged, over-engaged, or emerging customer segments and develop recommendations to improve targeting, strategy execution, and customer outcomes.
• Evaluate marketing, communication, servicing and customer experience strategies to identify opportunities for enhanced effectiveness and engagement.
• Develop analytical frameworks, performance measurement methodologies, and monitoring capabilities to assess strategy outcomes and inform decision-making.
• Translate complex analytical findings into clear actionable insights and compelling business recommendations for senior leadership and key stakeholders.
• Deliver proactive insights that influence product strategy, customer experience improvements, and enterprise growth objectives.

• Demonstrated experience as an innovative thinker, self-starter, and creative problem solver who challenges the status quo
• Strong analytical aptitude with experience performing data analysis, trend analysis, business performance evaluation, and statistical techniques
• Experience translating analytical findings into actionable business recommendations that influence strategy and decision-making
• Ability to work collaboratively with business partners, product teams, and technical stakeholders to solve complex business problems
• Proficiency in SQL, Python, data manipulation techniques, and analytical tooling
• Strong communication, storytelling, and presentation skills with the ability to explain complex concepts to technical and non-technical audiences
• Ability to adapt quickly, learn new technologies, and experiment with emerging analytical techniques and methodologies.
• Experience in product analytics, customer analytics, marketing analytics, portfolio analytics, or strategy analytics.
• Experience evaluating product performance, customer engagement, customer journeys, and business strategy outcomes.
• Knowledge of statistical modeling, machine learning, segmentation, behavioral analytics, and predictive analytics techniques.
• Familiarity with AI and machine learning applications within business and analytical workflows.
• Experience with SharePoint, Excel, PowerPoint, JIRA, Confluence, and Agile methodologies.
• Experience with Spark, Scala, Java, Python, or similar analytical and data engineering technologies.
• Project planning and execution experience, including scope definition, milestone tracking, and stakeholder communication.
• Advanced degree in Mathematics, Statistics, Economics, Data Science, Analytics, or a related quantitative field.

Demonstrates expertise in data product design and development, leveraging strong analytical skills and proficiency in SQL and Python to deliver actionable insights that drive business strategy and customer engagement. Capable of collaborating with cross-functional teams to enhance enterprise analytical capabilities and optimize product performance.

• SQL Proficiency
• Python Programming
• Data Analysis
• Statistical Modeling
• Product Analytics

• Data Analysis
• Trend Analysis
• Statistical Techniques
• Machine Learning
• Predictive Analytics
• Data Manipulation Techniques
• Behavioral Analytics
• Analytical Tooling
• Performance Measurement Methodologies
• Analytical Frameworks

• Creative Problem Solving
• Strong Communication
• Storytelling
• Collaboration
• Adaptability

• Advanced Degree in Mathematics
• Advanced Degree in Statistics
• Advanced Degree in Economics
• Advanced Degree in Data Science
• Advanced Degree in Analytics

• Business Intelligence
• Customer Experience
• Product Strategy
• Engagement Trends
• Customer Journeys

• Share Point
• Excel
• Power Point
• JIRA
• Confluence
• Agile Methodologies
• Spark
• Scala
• Java