1

On Call Zoho Analytics Jobs (NOW HIRING)

... their on-call pager rotation. Who You Are: * Leadership acumen, first and foremost * Strong ... NET, SQL Server, PostgreSQL, Data Lake/Lakehouse, Qlik, Zoho Analytics, Azure PaaS services)

Staff Data Scientist

Chicago, IL ยท On-site

$196K - $245K/yr

... their on-call pager rotation. Who You Are: * Leadership acumen, first and foremost * Strong ... NET, SQL Server, PostgreSQL, Data Lake/Lakehouse, Qlik, Zoho Analytics, Azure PaaS services)

We utilize Zoho Desk, Zoho CRM, HubSpot, Zoom, and Google Meet. Position Overview: We are seeking a ... Analyze and synthesize recurring themes from customer tickets to provide high-impact, data-driven ...

We utilize Zoho Desk, Zoho CRM, HubSpot, Zoom, and Google Meet. Position Overview: We are seeking a ... Analyze and synthesize recurring themes from customer tickets to provide high-impact, data-driven ...

On Call Zoho Analytics information

See salary details

$13

$34

$58

How much do on call zoho analytics jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for on call zoho analytics in the United States is $34.44, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $44.23 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Zoho Analytics jobs? The most popular types of Zoho Analytics jobs are:
Staff Data Scientist

Other

Posted 15 hours ago


Job description

GTreasury, now a Ripple solution, was acquired by Ripple in 2025, marking a significant expansion into the multi-trillion-dollar corporate finance arena.

GTreasury has more than 40 years of experience supporting some of the world's largest and most sophisticated companies. Integrating its treasury command center into Ripple's technology stack gives corporates the ability to move, manage and optimize liquidity in real-time, across traditional and digital assets, under one expanded umbrella.

Join us to build the future of corporate treasury and the infrastructure that powers the Internet of Value.

We are seeking an innovative and forward-thinking Staff Data Scientist and Engineer passionate about building a world-class platform through a world-class team. Driving the technical direction the technology, the evolution of team, and the engineering excellence to make magic happen.

What You'll Do:

  • Technical Leader Platform Data team to build a robust, scalable and resilient data platform serving all portfolio applications
  • Collaborate with solution teams, product managers, and deliver robust cloud-based Data platform and solutions
  • Make decisions on the solution and the design, architecture, and delivery of systems
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and evaluating technical design & code
  • Active coach and mentor to your team and grow them in their skills
  • Drive agile development and analytical methodologies every day
  • Strive to continuously improve the operations, processes, methodologies, technology choices, and practices of the team
  • Interact with your team, customers, and peers to share information and improve cross-department processes
  • Strive for transparency and partnership between our engineers and our business partners
  • Engage in concept discussions, and proposed technology solutions, to meet business objectives and influence such decisions
  • Work with multi-functional project teams on solution architecture options for design
  • Ensure all work meets quality, operational, and architectural standards needed for organizational success
  • Participate in the team's YBIYRI model (you-build-it-you-run-it), which includes participating in their on-call pager rotation.

Who You Are:

  • Leadership acumen, first and foremost
  • Strong aptitude with software development lifecycle and engineering excellence processes, Agile methodologies, and the ability to project manage moderately sized projects
  • Deep data engineering experience in complex distributed systems
  • Strong technical acumen which allows you to be responsible for the technical domain
  • Hands-on approach and ready to deep dive into code details with the team
  • Strong communication, coordination and influencing skills
  • Expert in automation with ETL process, data movement with data medallion architecture
  • Deep knowledge and experience with languages/frameworks/tooling (Databricks, SQL, Python, PowerShell, C#/.NET, SQL Server, PostgreSQL, Data Lake/Lakehouse, Qlik, Zoho Analytics, Azure PaaS services)
  • Expertise with Izenda, SSRS and AWS Data Services a bonus