Data Analyst Intern for CX Data & BI at Sanas

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

12 Oct, 26

Salary

0.0

Posted On

15 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Python, Data Visualization, Statistical Analysis, Exploratory Data Analysis, Tableau, Power BI, Metabase, API Integration, Data Cleaning, Data Storytelling, Excel, Google Sheets, Cloud Platforms, AI Tools, Communication

Industry

Software Development

Description

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. ● Creative mindset on data visualization and ability to do data story telling. ● A proactive attitude, with the ability to work independently as well as in a team setting. Joining us means contributing to the world’s first real-time speech understanding platform revolutionizing Contact Centers and Enterprises alike. Our technology empowers agents, transforms customer experiences, and drives measurable growth. But this is just the beginning. You'll be part of a team exploring the vast potential of an increasingly sonic future.

Responsibilities

Collaborate with cross-functional teams to collect, clean, and analyze large datasets to drive business strategies. Build and maintain dashboards and reports to track key performance indicators and present findings to stakeholders.