Data Scientist Lead - Snowflake, United States - Chicagonsbe

Description

This role is a combination of internal partner and analytical leadership, and will serve as a lead to other analysts on our team.

Are you a Thought Leader looking for an exciting opportunity that merges your sales, strategy, and analytical skills? Check out this opportunity on our Private Client Data & Analytics team


Job summary:

Our Private Client Data &Analytics team provides analytics, business intelligence, and modeling support to drive acquisition, sales, and retention strategies.

As a Sales Data Scientist Lead, you will be responsible for supporting and managing partner relationships with the Sales Strategy team, through analytical data exploration and reporting on outcomes, ad-hoc (diagnostic/tactical/strategic) deep dives, test design building and reading, and overall portfolio performance analysis, with an emphasis on controls execution and monitoring.

In this role you will serve as an internal partner collaborator and provide analytical leadership, and will be a leader to other analysts on our team.

You will be analytically/technically strong, will be resourceful with strong problem solving skills, will have great communications skills, and will employ a collaborative approach working with colleagues and business partners.

Job responsibilities:

Provide thought leadership and technical proficiency in data driven decision and opportunitiesusing various analytic methods such as predictive modeling, clustering, text mining, machine learning statistical forecasting, optimization, simulations etc.

Analyze data to explore improvement opportunities, assessing strengths through confidence of data inputs, identifying data defects, recognizing statistical anomalies, and linking data to business processes

Own program, processes, partnerships, key communications with limited oversight

Coach and mentor less experienced team members

Communicate complex analytical results

Deliver tactical and strategic marketing, sales, finance, and business insights through analytics, reporting and state of the art visualization techniques

Partner with stakeholders to solve quantitative problems related to optimizing business processes and performance

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