Recruiting Data Analyst
at Total Quality Logistics TQL
Cincinnati, Ohio, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 02 Jun, 2024 | USD 74000 Annual | 02 Mar, 2024 | N/A | Good communication skills | No | No |
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Description:
About the role:
As a Recruiting Data Analyst, you will play a pivotal role in optimizing our recruiting processes and driving data-informed decision-making. You will be responsible for analyzing recruitment data, identifying trends, and providing actionable insights to improve our talent acquisition strategies. This role offers an exciting opportunity to leverage data analytics to enhance the effectiveness and efficiency of our recruitment efforts.
What’s in it for you:
- $54,000 - $74,000 base salary, bonus, and long-term incentive plan
- High growth opportunities within a robust Recruiting Department
- Exposure to executive leadership
- We win wherever we go - Voted a Fortune 100 Best Companies to Work For (2023) and Forbes America’s Best Employers 2022)
What you’ll be doing:
- Collaborate with HR and recruiting teams to understand business objectives and recruitment priorities
- Collect, clean, and analyze recruitment data from various sources, including applicant tracking systems, job boards, and other recruitment platforms
- Develop and maintain dashboards, reports, and data visualizations to track key recruiting metrics and performance indicators
- Conduct in-depth analyses to identify patterns, trends, and areas for improvement in the recruitment process
- Generate actionable insights and recommendations to optimize recruitment strategies, streamline processes, and enhance candidate experience
- Assist in the design and implementation of predictive models and algorithms to forecast recruitment outcomes and support strategic workforce planning
- Stay current on industry trends, best practices, and emerging technologies in recruitment analytics
- Collaborate with cross-functional teams to support data-driven decision-making across the organization
What you need:
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field
- Proven experience in data analysis, preferably in a recruiting or HR analytics role
- Proficiency in data manipulation and analysis using tools such as SQL, Python, R, or similar programming languages
- Strong analytical skills with the ability to interpret complex data sets and draw meaningful insights
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms
- Familiarity with statistical analysis techniques and predictive modeling
- Excellent communication skills with the ability to present findings and recommendations to stakeholders at all levels
- Detail-oriented with a commitment to accuracy and quality
- Ability to work independently and collaboratively in a fast-paced, dynamic environment
Where you’ll be: 4289 Ivy Pointe Blvd., Cincinnati, OH 4524
Responsibilities:
- Collaborate with HR and recruiting teams to understand business objectives and recruitment priorities
- Collect, clean, and analyze recruitment data from various sources, including applicant tracking systems, job boards, and other recruitment platforms
- Develop and maintain dashboards, reports, and data visualizations to track key recruiting metrics and performance indicators
- Conduct in-depth analyses to identify patterns, trends, and areas for improvement in the recruitment process
- Generate actionable insights and recommendations to optimize recruitment strategies, streamline processes, and enhance candidate experience
- Assist in the design and implementation of predictive models and algorithms to forecast recruitment outcomes and support strategic workforce planning
- Stay current on industry trends, best practices, and emerging technologies in recruitment analytics
- Collaborate with cross-functional teams to support data-driven decision-making across the organizatio
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Human Resources/HR
Analytics & Business Intelligence
HR
Graduate
Data science statistics computer science or a related field
Proficient
1
Cincinnati, OH, USA