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REQUIREMENT_ID_1633 β€’ 3-DAY_ACTIVE_POLICY

Operations Analyst

Company
Company CertifyOS
Type
Opportunity Type Internship
Salary
Stipend / Salary 3.5 LPA
Location
Location Remote
Posted Date
Posted Date Oct 07, 2026
Research Data Validation Microsoft Office Google Workspace Communication Attention to Detail Time Management Email Etiquette Basic Data Analysis
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Aptitude Practice Questions Open Resource β†—
Helps you sharpen quantitative and logical reasoning skills essential for the technical assessment round.
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Company Interview Preparation Guide Open Resource β†—
Provides insights into common interview formats and question types used by tech and operations firms like CertifyOS.
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Comprehensive Interview Prep Resources Open Resource β†—
Covers behavioral interview techniques, STAR method examples, and domain‑specific knowledge for operations roles.
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Algorithm and Data Structure Problem Set Open Resource β†—
Useful for practicing problem‑solving and analytical thinking, which are evaluated in the technical assessment.

β€’ Bachelor’s degree in any discipline (Engineering, Commerce, Arts, Science, etc.) β€’ Minimum 60% aggregate (or equivalent CGPA) preferred but not mandatory β€’ Fluency in English – both written and spoken β€’ Strong research ability, especially using Google and other online resources β€’ Excellent attention to detail and accuracy β€’ Proficiency in Microsoft Office and Google Workspace β€’ No active backlogs at the time of joining β€’ Ability to meet deadlines and work under pressure β€’ Open to learning healthcare compliance terminology

1
Round 1: Application screening and resume shortlisting
2
Round 2: Technical assessment (aptitude, data interpretation, case study)
3
Round 3: Managerial/HR interview (behavioral questions, STAR method, cultural fit)
CertifyOS is a fast‑growing technology platform that specializes in credentialing, licensure and continuing medical education services for healthcare providers across the United States. Founded by a team of healthcare compliance experts, the company leverages automation, data analytics and a robust cloud‑based infrastructure to simplify complex regulatory processes for hospitals, clinics and individual practitioners. With a client base that spans major health systems and independent providers, CertifyOS has positioned itself as a trusted partner in the ever‑evolving landscape of medical compliance. The organization prides itself on a culture of continuous learning, transparency and a strong emphasis on work‑life balance, offering employees the flexibility to work from anywhere while staying connected through modern collaboration tools. The Operations Analyst role is a remote, entry‑level position designed for fresh graduates who are eager to dive into the world of data‑driven operations within the healthcare domain. As an Operations Analyst, you will act as the bridge between CertifyOS’s technology platform and its customers, ensuring that credentialing and licensing workflows are executed accurately and efficiently. You will be responsible for researching provider information, validating data, and communicating with both internal teams and external clients to resolve queries and drive project implementation. Key responsibilities include: 1. Research, interpret, and evaluate provider licensure and CME information for US‑based healthcare professionals. 2. Complete credentialing, licensure and payor enrollment applications on behalf of CertifyOS customers. 3. Validate and authenticate data entered into the credentialing platform, maintaining 100% accuracy. 4. Communicate with providers and clients via email to request additional information when needed. 5. Assist in monitoring new client implementation projects and ensure smooth onboarding. 6. Summarize research findings and draft clear guideline documents for customers. 7. Participate in ad‑hoc projects such as process improvement initiatives and data quality audits. 8. Maintain detailed logs of interactions and updates in the CRM system. 9. Collaborate with cross‑functional teams including product, compliance and support to resolve operational bottlenecks. 10. Continuously update knowledge of US healthcare regulations and platform enhancements. The role primarily uses Microsoft Office (Excel, Word, PowerPoint) and Google Workspace (Docs, Sheets, Slides) for daily tasks. Familiarity with basic data analysis tools such as Powerβ€―BI or Tableau, as well as exposure to CRM platforms like Salesforce, is advantageous. While programming is not mandatory, a working knowledge of Python or SQL can accelerate data‑driven decision making. Career growth at CertifyOS follows a clear trajectory: Operations Analyst β†’ Senior Operations Analyst β†’ Team Lead β†’ Operations Manager. High performers are given opportunities to lead larger client implementations, mentor new hires, and contribute to product enhancements. The remote‑first model allows you to develop a professional network across the country while enjoying the flexibility of a work‑from‑home setup. Why join CertifyOS? You will gain hands‑on experience in a regulated industry, develop strong analytical and communication skills, and work alongside seasoned professionals who value mentorship. The company’s commitment to continuous upskilling, coupled with a supportive remote culture, makes it an ideal launchpad for freshers aiming to build a long‑term career in operations and data analytics.

CertifyOS β€” AI & Machine Learning Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
CertifyOS Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for CertifyOS and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Research, Data Validation, Microsoft Office, Google Workspace, Communication, Attention to Detail, Time Management, Email Etiquette, Basic Data Analysis) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
CertifyOS Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer β–Ό
Model Answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer β–Ό
Model Answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer β–Ό
Model Answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer β–Ό
Model Answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Why do you want to join CertifyOS as a Operations Analyst?
Preparation Tip: Highlight CertifyOS's market reputation, recent tech innovations, and how your skills in Research directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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