Say hello to possibilities.

It’s not everyday that you consider starting a new career challenge.

We’re RingCentral, a global leader in cloud-based communications and collaboration software. We are fundamentally changing the nature of human interaction—giving people the freedom to connect powerfully and personally from anywhere, at any time, on any device.

We’re a $2 billion company that’s growing at 30+% annually and we’re expanding our  Solutions Engineering Team to make sure we stay ahead of the competition.

We are seeking a skilled Data Analyst to join our team. The successful candidate will be responsible for collecting, analyzing, and interpreting large datasets to help our organization make data-driven decisions.

Responsibilities:

• Collect and analyze large datasets to identify trends and patterns.
• Use LLMs to identify trends in data and leverage intuition to find opportunities to improve the user experience in data-related features.
• Build POCs to demonstrate the feature opportunities identified during data analysis.
• Create and maintain dashboards and reports to communicate findings.
• Collaborate with cross-functional teams to understand their data needs and provide actionable insights.
• Use statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
• Develop and implement data collection systems and other strategies that optimize statistical efficiency and quality.

Requirements:

• Bachelor's degree in Computer Science, or a related field.
• Proven experience as a Data Analyst or similar role.
• Good exposure to prompt engineering and building POCs that are LLM-wrapped.
• Proficiency in data analysis tools and software such as SQL, R, Python, Excel, etc.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.

Preferred Qualifications:

• Experience in the voice analytics domain.
• Familiarity with machine learning and predictive modelling techniques.

What we offer:

• Mediclaim Benefits
• Paid Holidays
• Casual/Sick Leave
• Privilege Leave
• CaRing Days
• Bereavement Leave
• Maternity Leave
• Paternity Leave
• Wellness Coaching
• Employee Referral Bonus
• Professional Development Allowances
• Night Shift Allowances

RingCentral’s Engineering team works on high-complexity projects that set the standard for performance and reliability at massive scale. What kind of scale? Millions of users today and hundreds of millions tomorrow. This is  your chance to help imagine, develop and deliver products that raise the technological bar, and power human connections. If you’re a talented, ambitious, creative thinker, RingCentral is the perfect environment to join a world class team and bring your ideas to life.

RingCentral’s work culture is the backbone of our success. And don’t just take our word for it: we are recognized as a Best Place to Work by Glassdoor, the Top Work Culture by Comparably and hold local BPTW awards in every major location. Bottom line: We are committed to hiring and retaining great people because we know you power our success. RingCentral offers on-site, remote and hybrid work options optimized for the ways we work and live now.

About RingCentral

RingCentral, Inc. (NYSE: RNG) is a leading provider of business cloud communications and contact center solutions based on its powerful Message Video Phone™  (MVP™) global platform. More flexible and cost effective than legacy on-premises PBX and video conferencing systems that it replaces, RingCentral® empowers modern mobile and distributed workforces to communicate, collaborate, and connect via any mode, any device, and any location. RingCentral is headquartered in Belmont, California, and has offices around the world.

RingCentral is an equal opportunity employer that truly values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.