Addison Group is a leading professional services firm specializing in talent solutions (staffing) and consulting services, offering a full suite of capabilities across multiple practice areas, including information technology, finance and accounting, non-clinical healthcare, human resources, administrative, and digital marketing.

We work in specialized markets and channel decades of expertise into real, honest conversations, not just software. We know that great teams start with great people. That means we focus on quality, not quotas. It means that we’re laser-focused on seeing candidates beyond their resumes to understand their goals and make sure they align with your mission. And it means working with you to get detailed insights on your teams so we can find people who fit, not just who’s available.

For Addison Group, businesses are as good as their talent, and No one gets talent like Addison Group.®

A full range of services:

• Contract
• Contract-to-hire
• Permanent placements
• Executive search

Recent accolades:

• Forbes "America’s Best Recruiting & Temporary Staffing Firms” 2024, 2023, 2022
• Crain’s Chicago Business “Chicago’s Largest Privately Held Companies” 2023
• SIA’s Largest US Staffing Firms for a Seventh Consecutive Year

Job Description:

The Technical Data Analyst will gather and analyze operations data for the organization, supporting management and leadership in making informed and objective business decisions. This role is essential for bridging the gap between technical data analysis and business insights.

Essential Functions

Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.

Collaboration: Work closely with operations and business leaders to understand management objectives and identify relevant data and metrics.
Data Validation: Set parameters and requirements for data to be gathered; validate collected data through statistical testing and independent judgment.
Data Synthesis: Bridge the gap between technical reporting and practical application, synthesizing data points to create relevant metrics and observations.
Analysis Techniques: Select appropriate computational or data manipulation methods for research and analysis.
Model Development: Develop mathematical and simulation models of problems, applying expected constants, variables, and conflicting objectives.
Reporting Support: Assist the C-suite in auditing and reporting data through presentations, using technical insights to create clear, actionable slides for business calls.
Comprehensive Data Analysis: Analyze all relevant data, including inventory, sales/logistics, and employee costs. Evaluate performance over time—past, present, and future—to inform decision-making.
Project Engagement: Engage in ongoing efforts to optimize existing data systems and improve operational efficiency.
Confidentiality Management: Handle sensitive information, such as salaries and bonuses, with the utmost confidentiality.
Process Improvement: Based on data analysis, assist in the creation, development, and implementation of business methods and procedures aimed at optimization and growth.
Reporting and Documentation: Prepare and distribute reports that identify, explain, and evaluate problems and available solutions, ensuring that the company/ has the necessary data to make informed decisions.
Perform Other Duties as Assigned.

Required Education & Experience

Mathematical Skills: Excellent mathematical abilities with experience in creating and conducting simulation models, data reduction, and trend analysis.
Organizational Skills: Strong attention to detail and excellent organizational capabilities.
Communication Skills: Exceptional verbal and written communication skills to effectively translate technical insights into actionable recommendations.
Analytical Skills: Strong ability to analyze information and think systematically.
Business Analysis Skills: Proficient in understanding and analyzing business needs and applying data to decisions.
Software Proficiency: Advanced proficiency with Microsoft Excel and statistical analysis software; skilled in data manipulation.
Industry Knowledge: Understanding of manufacturing and inventory environments is essential.
Leadership Skills: Effective leader with well-honed communication skills and the ability to drive data-driven decision-making across the organization.