Sanas.ai is pioneering the future of human communication. Founded by a team of Stanford researchers and entrepreneurs with deep industry experience, Sanas has developed the world’s first real-time speech transformation platform capable of accent translation, noise elimination, speech enhancement, and cross-language communication.

Sanas makes conversations clearer, more inclusive, and more effective, removing barriers that prevent people from being understood, regardless of accent, background noise, or native language.

Since going to market in 2023, Sanas has scaled at an extraordinary pace, growing from $0 to $32M ARR in under two years, with a projected >$50M ARR by the end of 2025. The company recently recorded its first $10M quarter and is on track to achieve $120M in ARR next year. With a SaaS-based model, Sanas serves some of the world’s largest enterprises, including Comcast, UPS, UHG. Today, Sanas technology is deployed across >17 of the Fortune 500 and continuing to accelerate growth. 

The company’s valuation has a clear trajectory toward multi-billion-dollar market capitalization as it continues to expand into new verticals and product categories. With a TAM that spans all human in the loop communications and beyond, Sanas has the potential to impact every industry and every global interaction.

Sanas is revolutionizing the way we communicate with the world’s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard.

Sanas is a 200-strong team, established in 2020. In this short span, we’ve successfully secured over $100 million in funding. Our innovation has been supported by the industry’s leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you’re not just adopting a product; you’re investing in the future of communication. 

About the role:

This position is perfect for someone who loves digging into numbers, spotting patterns, and turning information into stories that matter. We’re looking for a Data Analyst Intern who is curious, detail-oriented and excited about learning how data can shape real-world decisions.

In this role, you’ll team up with experienced analysts and collaborate across departments to explore and make sense of large datasets. You’ll get hands-on practice with collecting and cleaning data, building clear visualizations, and helping create reports that highlight opportunities and drive smarter strategies.

You will work with real-time industry data, giving you practical exposure to how insights are applied in real business environments. You’ll also gain an inside look into how the Customer Experience (CX) industry works and see firsthand how being data-driven helps companies grow, improve operations and serve customers better. You will strengthen your skills in SQL, statistical analysis, and data visualization tools.

Key Responsibilities:

• Work with cross-functional teams to collect, clean, and organize large datasets.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and insights that support business decisions.
• Build and maintain dashboards, reports, and visualizations to track key metrics and performance indicators.
• Assist in developing data pipelines and integrating data from multiple sources, including APIs.
• Support in applying statistical methods and data-driven techniques to solve real business problems.
• Handle ad hoc data requests by exploring available datasets and applying the right analytical techniques.
• Collaborate with multiple teams to present findings in a clear, structured way to both technical and business audiences.
• Stay up to date with the latest AI tools and industry trends, experimenting with ways they can be applied to improve analysis and reporting.

Must-Have Qualifications:

• Currently pursuing or Recently Passed a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
• Strong problem-solving skills, solid foundation in data analysis techniques and statistical concepts.
• Hands-on experience with SQL and at least one programming language for data analysis (Python preferred).
• Basic understanding of data visualization tools such as Tableau, Power BI, or Metabase.
• Ability to work with large datasets, including collecting, cleaning, and organizing data for analysis.
• Familiarity with APIs and interest in leveraging AI tools as well as staying updated with the latest AI and industry trends.
• Effective communication skills to clearly present ideas and insights to technical and leadership teams.

Preferred Qualifications:

• Prior internship or project experience working with real-world datasets.
• Strong skills in Excel/Google Sheets for quick data manipulation and reporting.
• Familiarity with cloud platforms (AWS, GCP, or Azure) for data storage and analytics.
• Experience building dashboards or interactive reports using BI tools.
• Exposure to API integrations and automation workflows.
• A proactive attitude, with the ability to work independently as well as in a team setting.