Full-Time

Senior Data Science Analyst

Posted on 1/9/2025

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Compensation Overview

$88k - $122.8kAnnually

+ Incentives

Mid, Senior

No H1B Sponsorship

Wheeling, IL, USA

Must be authorized to work in the United States.

Category
Data Science
Data & Analytics
Required Skills
Data Science
Data Analysis
Requirements
  • Bachelor’s in Analytics, Engineering, Statistics or related field.
  • 2+ Years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.
Responsibilities
  • Responsible for working closely with management to execute analytical initiatives.
  • Responsible for solving business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning.
  • Creates reports and dashboards to closely monitor performance metrics and provide insights.
  • Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management.
  • Develops advanced analytics solutions including customer segmentation, optimization, test & design of experiments and prescriptive analytics to solve business problems.
  • Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.
  • Collaborates with cross-functional partners to understand their business needs, formulated and completed end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.
  • Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
  • Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.
  • Manages multiple priorities, communicate business performance and project progress to management & business partners.
  • Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.
  • Facilitates implementation of work product and ensure accuracy.
  • Consistently follows standard work processes and documentation requirements.
  • Recommends improvement to work processes to increase efficiency while maintaining quality of work.
  • Continuously improves technical and leadership skills through training and development.

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A

INACTIVE