HR Operations

DatazymesBengaluru, India | Karnataka, India | On_siteOnsite

Company Description

About DataZymes:

DataZymes Analytics is a cutting-edge and innovative data analytics company working with Life Sciences clients that empowers businesses and organizations to unlock the true potential of their data. Our mission is to harness the power of data and transform it into actionable insights, enabling our clients to make informed decisions and gain a competitive edge in today's data-driven world.With a team of highly skilled data scientists, analysts, and engineers, DataZymes Analytics is committed to delivering top-notch solutions tailored to the unique needs of each client.

Aided by our suite of cutting-edge products and accelerators, we are helping our Pharma clients on their Data to Insights journey. In a short span, we have built a high-performance team in focused practice areas, built digital-enabled solutions, and are working with some marquee names in the US healthcare industry.What sets us apart is our dedication to accuracy, efficiency, and innovation. We utilize the latest technologies and industry best practices to ensure the highest quality of work and the fastest turnaround times. Moreover, our agile approach allows us to adapt quickly to changing requirements and deliver exceptional results within the most demanding timelines.

Job Description

HR Data Management: Maintain and update employee records in our HR information systems Keka with precision and confidentiality. Handle onboarding, offboarding, and other daily HR transactions efficiently
Employee Support: Act as the main point of contact for employees and managers, addressing inquiries related to HR policies, benefits, and general HR processes. Deliver timely and effective support to ensure a positive employee experience
Benefits Administration: Assist in administering employee benefits programs, including health insurance, retirement plans, and additional perks
Payroll Management: Run the payroll processes, working with PEOs, EORs, and managing contractor payouts. Ensure accurate and timely payment for all employees and contractors
Leave and Absence Management: Handle various leave programs, ensuring compliance with local regulations and company policies
HR Reporting: Prepare regular HR reports and analytics on key metrics, helping identify trends for process improvement
Vendor Management: Collaborate with external HR service providers to ensure seamless service delivery
Compliance and Policy Adherence: Stay updated on HR regulations and employment laws relevant to startups. Assist in maintaining HR policies and procedures

Qualifications

Bachelor’s degree/master’s degree in human resources, Business Administration, or a related field
2-5 years of experience in HR operations or related roles within a startup environment is required
Experience in managing payroll and service provider payouts is desirable
Strong attention to detail and ability to handle HR data accurately and efficiently

Life at Datazymes

Catalyzing Innovation in Pharma with Data-driven Digital Products. The idea of DataZymes germinated with the realization that Pharma Commercial teams had few alternatives to the antiquated and inefficient solutions offered by traditional consulting and technology companies. Already a laggard in analytical maturity, the Pharma industry had been facing challenges to adapt to a Big Data world. We saw that the products offered by technology companies were too rigid and generic to handle novel problems. The custom solutions offered by consulting organizations took too long to deploy and required many services to maintain and improve. We felt the need for a different approach to finding solutions and we knew it would take a different kind of company to build it. That’s why DataZymes. We’re focused on creating the world’s best user experience for working with data, one that empowers people to ask and answer complex questions without requiring them to master querying languages, statistical modeling, or the command line. To achieve this, we are building platforms for integrating, managing, and securing data on top of which we layer applications for fully interactive machine-driven, human-assisted analysis.