At careerzynith, we're revolutionizing the way we approach data-driven decision making in the Recruiting and People Analytics space. As a key member of our team, you'll play a crucial role in driving success by leveraging data to inform hiring strategies, optimize device design, and make steady technique upgrades. If you're passionate about data analysis, have a strong product-centric approach, and enjoy working with cross-functional teams, we want to hear from you!
**What to Expect**
Data is at the heart of the Recruiting and People approach at careerzynith. We harness data from in-residence gear to display hiring tendencies, music progress, and optimize device design. Our team gathers and examines data from homegrown structures to make steady technique upgrades. As a Data Analyst, you'll be part of the Recruiting Analytics group, which is embedded inside the Recruiting business enterprise and contributes to selections made during the company.
**Key Responsibilities**
* Apply a product-centric technique to data and reporting, ensuring discoverability through user-pleasant documentation and trustworthiness with rigorous data tests
* Design, build, and keep data fashions to ensure data quality, consistency, and accessibility for evaluation
* Collect, examine, and gift data from the device whilst furnishing a subset of probably unrelated data points/filters to attract conclusions
* Effectively speak data evaluation to non-technical audiences unexpected with the domain
* Recognize styles to outline gaps inside the applicant monitoring device and pressure alternate at a device stage with accountable par1es (give up users, device admins, etc.)
* Ensure a hit integration with downstream structures and correct reporting to stakeholders
**What You'll Bring**
* Bachelor's Degree in Data Analytics, Management Information Systems, or equal experience
* Previous experience running with People or Recruiting groups, or in-intensity understanding of complete cycle recruiting
* Prior relational database experience
* Proficiency in SQL and different not unusual place question languages
* Understanding of CI/CD workflows and automatic testing
* Experience with data visualization gear (Tableau, Power BI, etc.)
* Critical wondering and a primary concept technique to hassle-solving
**Benefits**
As a full-time careerzynith employee, you're eligible for the following advantages on day 1 of hire:
* Aetna PPO and HSA plans > 2 clinical plan alternatives with $zero payroll deduction
* Family-building, fertility, adoption and surrogacy advantages
* Dental (along with orthodontic coverage) and imaginative and prescient plans, each have alternatives with a $zero paycheck contribution
* Company Paid (Health Savings Account) HSA Contribution whilst enrolled inside the High Deductible Aetna clinical plan with HSA
* Healthcare and Dependent Care Flexible Spending Accounts (FSA)
* LGBTQ+ care concierge services
* 401(k) with company match, Employee Stock Purchase Plans, and different economic advantages
* Company paid Basic Life, AD&D, short-time period and long-time period incapacity insurance
* Employee Assistance Program
* Sick and Vacation time (Flex time for income positions), and Paid Holidays
* Back-up childcare and parenting aid resources
* Voluntary advantages include: crucial illness, health center indemnity, a twist of fate insurance, theft & prison services, and puppy insurance
* Weight Loss and Tobacco Cessation Programs
* Tesla Babies program
* Commuter advantages
* Employee reductions and perks program
**Why Join careerzynith?**
* Collaborate with a talented team of professionals who share your passion for data-driven decision making
* Work on challenging projects that drive business success
* Enjoy a dynamic and supportive work environment that fosters growth and learning
* Take advantage of our comprehensive benefits package and perks
* Contribute to the development of innovative solutions that shape the future of Recruiting and People Analytics
**How to Apply**
If you're ready to take the next step in your career and join a team that's revolutionizing the way we approach data-driven decision making, apply now! We can't wait to hear from you and discuss how you can become a vital part of our success story.