About Skypoint:
Skypoint is a HITRUST r2-certified data unification and agentic AI platform that accelerates productivity and efficiency for healthcare organizations. Our platform empowers healthcare providers, payers, and senior care organizations to unify siloed data, model industry-specific ontologies, and deploy AI agents that automate workflows and enhance decision-making.
Founded in 2020 in Portland, Oregon, Skypoint has grown to over 75 employees and serves more than 100 customers. We are proud to be ranked #26 on Deloitte’s 2024 Technology Fast 500™ list, recognizing the fastest-growing tech companies across North America, driven by our exceptional revenue growth over the past three years.
Position Overview:
We are currently seeking a highly motivated and detail-oriented Data Collection Intern to join our team. The ideal candidate will be responsible for manually collecting, compiling, and verifying data from multiple sources. This role requires a strong proficiency in Microsoft Office applications and a basic understanding of database principles. The Data Collection Intern will play a crucial role in supporting our data analysis and research projects by ensuring the accuracy and reliability of our data.
Location: Global Technology Park, Bellandur, Bangalore, India (No Remote/No Hybrid)
Flexibility with Work Timings: Ready to occasionally adjust to US shift schedules for collaboration purposes.
Internship Perks:
- Duration: 6 months, complete with an attractive stipend (INR 16,000 per month)
- Additional Benefits: Company-paid lunches at the office, internet expense reimbursement, and a laptop for work.
- Gain hands-on experience with essential data management tasks.
- Work in a dynamic team environment where your input is valued.
- Seize opportunities to work across time zones, boosting your skills in global collaboration.
Key Responsibilities
Data Collection and Compilation
- Manually collect data from various sources, including online databases, websites, reports, and other relevant platforms.
- Compile and organize collected data into structured formats (Excel, CSV, or SQL databases) for easy analysis and retrieval.
- Ensure the accuracy and completeness of data by cross-verifying with multiple reliable sources.
Data Entry and Management
- Input collected data into specified databases, spreadsheets, or internal systems with high accuracy and attention to detail.
- Regularly update and maintain data records to reflect the most current information.
- Support the development and improvement of data management procedures to increase efficiency and reliability.
Data Analysis and Reporting
- Assist with data profiling and basic SQL queries to identify patterns, gaps, and inconsistencies.
- Support the team in generating reports and insights from structured data using Excel and SQL tools.
- Participate in data validation and quality checks as needed for ongoing projects.
Collaboration and Support
- Work closely with data engineers, analysts, and operations teams to identify data collection needs and improvement opportunities.
- Provide timely and accurate data support to stakeholders and respond to data-related queries.
- Contribute ideas and participate in planning discussions during team meetings and strategy sessions.
Required Skills and Qualifications
- Currently enrolled in or recently graduated from a Bachelor’s degree program in Computer Science, Data Science, Information Systems, or a related field.
- Strong proficiency in SQL (ability to write basic to intermediate queries) is highly preferred.
- Familiarity with data platforms and workflows is a plus (e.g., ETL tools, databases like MySQL, PostgreSQL, or cloud platforms).
- Proficiency in Microsoft Office, especially Excel (pivot tables, vlookups, data formatting).
- Exceptional attention to detail and a strong commitment to data accuracy and consistency.
- Strong organizational skills and the ability to manage multiple tasks and deadlines.
- Effective written and verbal communication skills, with the ability to present findings clearly.
- Ability to work independently and collaborate effectively in a fast-paced, team-oriented environment.
- Demonstrated interest in data analytics, engineering, or data operations is a plus.
