Human Resource Senior Data Science Analyst

Workoo Technologies; Chicago (IL); On-site; USD 80,000 - 100,000; Full time

Job summary

A dynamic technology company in Chicago is seeking a Senior Data Science Analyst to join its innovative People Analytics team. This role focuses on leveraging advanced analytics and statistical techniques to solve real business problems, optimize performance metrics, and create actionable insights. The ideal candidate holds a Bachelor's in Analytics or a related field and has at least 2 years of experience in fields such as Credit Risk or Data Science. Join us to partner with cross-functional teams and drive impactful analytics across the organization.

Qualifications

• Minimum 2 years experience in related fields like Credit Risk or Data Science.
• Knowledge of advanced analytics techniques.
• Strong proficiency in data visualization tools.

Responsibilities

• Execute analytical initiatives aligned with business goals.
• Develop advanced analytics solutions for business problem solving.
• Create and automate reports and dashboards for insights.

Skills

Data Analysis

Machine Learning

Statistical Analysis

Segmentation Techniques

Education

Bachelors Degree in Analytics, Engineering or related field

Tools

R

Python

Tableau

Job description

Human Resource Senior Data Science Analyst

Join an innovative People Analytics team that has everything from Workday Reporting experts, a Cloud Architecture & Toolset (including R/Python), Tableau for advanced visualizations, Adaptive for our Workforce Planning, Glint for our Engagement Surveys, and Business Partners to help drive partnership and prioritization across. Use your skills to solve real problems around how the company can optimize turnover, advance candidates & employees, and drive engagement. Partner with great people who can position you to do really cool modeling and problem solving!

What You'll Do

• Work closely with management to execute analytical initiatives.
• Solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning.
• Create reports and dashboards to closely monitor performance metrics and provide insights.

How You'll Do It

• Develop advanced analytics solutions including customer segmentation, optimization, test & design of experiments and prescriptive analytics to solve business problems. Operate as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis.
• Collaborate 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. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
• Establish and maintain effective performance tracking; identify improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.
• Manage multiple priorities, communicate business performance and project progress to management & business partners.
• Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitate implementation of work product and ensure accuracy.
• Consistently follow standard work processes and documentation requirements. Recommend improvement to work processes to increase efficiency while maintaining quality of work. Continuously improve technical and leadership skills through training and development.

Qualifications You'll Need

The Basics

• Bachelors Degree 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 field

Bonus Points If You Have

• Masters Degree in Analytics, Engineering, Mathematics, Statistics or related field
• Experience and interest within the HR space
• Experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field

Allied Global Marketing is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other status protected under federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.