Jobs
HR Data Analyst
Chicago, IL 60629
4 Months, Contract
Hybrid Remote
Job Summary
- Job Title:
- HR Data Analyst
- Posted Date:
- Apr 30, 2026
- Duration:
- 4 Months, Contract
- Shift(s):
-
07:00 - 16:00
- Salary ($):
- 23.92 - 24.12 per Hourly (compensation based on experience and qualifications)
- We care about you! Explore Rangam’s benefits information
Talk to our Recruiter
- Name:
- Megha Barot
- Email:
- meghab@rangam.com
- Phone:
- 929-437-8018
Description
This candidate will need good experience with Excel and be comfortable working with data. Assignment will be hybrid, 2 days onsite at Chicago bakery per week.
Work Hours: 7am - 4pm
Title: People Experience Projects
You will analyze employee data and fix HR processes (especially time tracking, attendance, and compliance).
Key Responsibilities/ Tasks
- Drive projects/ tasks in service of improvement of Time & Attendance Processes at the site;
- Drive projects related to streamlining and harmonizing I-9 process
- Create SOPs and build T&A capabilities within site for managers to own and drive the process
- Develop and Standardize local processes around Leave Management, Time & Attendance and Absenteeism Management
- Work with leaders and stakeholders across multiple levels in the org to drive projects and focus areas
Key Competencies
- Data and Analytics- Proficient in working with various People data and metrics and deriving insights into trends and causalities to eliminate losses;
- High Proficiency in MS Excel
- Root Cause Mindset- Ability to analyze problems down to the root cause and balance between immediate fixes and developing long term systemic solutions to frequently occuring problems processes and enhance our capabilities.
- Stakeholder Engagement- Ability to influence and engage all relevant stakeholders to identify key drivers and enroll in action plans
As part of our recruitment process, we may use automated tools or AI-enabled technologies to assist with resume screening and candidate matching. These tools help our recruitment team review applications more efficiently, but they do not make hiring decisions. All final decisions are made by human reviewers.