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The Private Client Data & Analytics team needs to deliver analytical insights and build data automation solutions to support and advance sales initiatives, drive sales growth, and enable business innovation through data.

Requirements

• Advanced knowledge of statistical and data science techniques, including machine learning algorithms (linear/logistic regression, clustering, decision trees, random forest, neural networks, gradient boosting, text mining) using Python or R
• Experience with databases (Teradata, Oracle), Snowflake, AWS, and advanced querying languages (SQL, HQL, SparkSQL) in modern cloud-based architectures
• Technical understanding of data extraction, transformation, and load processing
• Proficiency in web analytics tools (Adobe Insight, Adobe Site Catalyst)
• Hands-on experience delivering analytics and insights to multiple management levels, including test design, financials, conversion/reporting, response analysis, incremental analysis, profiling, and segmentation
• Experience with data visualization tools such as Tableau or Power BI

Responsibilities

• Partner with stakeholders to solve quantitative business problems using analytic methods such as predictive modeling, clustering, text mining, machine learning, statistical forecasting, optimization, and simulations
• Lead analytical optimization of the sales funnel and identify opportunities to drive sales growth
• Collaborate with business partners and Technology to advise on routing strategies and experimentation, developing strategic data solutions across product domains and platforms
• Deliver marketing, sales, finance, and business insights through analytics, reporting, and advanced visualization techniques
• Profile, wrangle, and prepare data from diverse sources to support analytics
• Write data transformation logic in Python, SAS, or Scala
• Stay current with industry trends and test new tools and techniques to address business challenges

Other

• Partner with Sales, Marketing, and Product Strategy to deliver analytical insights and build data automation solutions.
• Build trusted relationships in a matrixed environment
• Demonstrate tenacity in problem solving, structuring, and developing a point of view
• Work independently with limited supervision
• Exhibit passion for data and analytics to drive business innovation