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REQUIREMENT_ID_1385 β€’ 3-DAY_ACTIVE_POLICY

Junior Analyst- AR Caller (Fresher)

Company
Company Data Marshall
Type
Opportunity Type Internship
Salary
Stipend / Salary 2.00 LPA - 2.45 LPA
Location
Location Hyderabad, Telangana
Posted Date
Posted Date Sep 28, 2026
Strong communication analytical thinking problem solving AR calling insurance claim follow‑up EOB review ERA analysis RCM knowledge denial management night‑shift adaptability basic MS Excel customer handling
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Aptitude Practice Questions Open Resource β†—
Curated quantitative and logical reasoning problems to sharpen the skills needed for the first interview round.
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Interview Preparation Resources Open Resource β†—
Comprehensive guides covering typical interview questions and strategies for healthcare RCM roles.
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Comprehensive Study Guides Open Resource β†—
Detailed notes and mock tests that help candidates prepare for domain‑specific and HR interview rounds.
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Coding Problem Sets Open Resource β†—
Practice problems to improve logical thinking and data handling, useful for analytical assessments.

Graduate degree (any bachelor's discipline) except B.Tech, M.Tech, Diploma, MCA, MBA. Minimum 50% aggregate (or equivalent CGPA). No active backlogs at the time of joining. Recent batch (2022‑2025) preferred. Must possess a valid Aadhar card and be willing to work night shifts from Hyderabad office.

1
Round 1: Aptitude & Logical Reasoning Test
2
Round 2: Domain/Technical Interview (AR calling, claim handling)
3
Round 3: HR Interview (fitment, service agreement discussion)
Data Marshall is a fast‑growing analytics and healthcare services firm headquartered in Hyderabad. With a strong focus on Revenue Cycle Management (RCM), the company partners with hospitals, clinics and insurance providers to streamline claim processing, reduce denials and improve cash flow. Over the past few years, Data Marshall has built a reputation for leveraging data‑driven insights to solve complex healthcare billing challenges, earning trust from major insurers across India. The organization prides itself on a collaborative culture, continuous learning, and a clear career progression path for fresh talent. The Junior Analyst – AR Caller role is designed for recent graduates who are eager to start a career in health‑informatics and RCM. As a front‑line associate, you will be the voice that bridges the gap between the company and insurance payers, ensuring that claims are processed accurately and on time. This position offers exposure to end‑to‑end claim lifecycle, from initial submission to post‑payment reconciliation, making it an ideal launchpad for a long‑term career in healthcare analytics. **Key Responsibilities** 1. Follow up on pending insurance claims, addressing unpaid, under‑paid or denied amounts. 2. Review Explanation of Benefits (EOB) and Electronic Remittance Advice (ERA) documents to identify discrepancies. 3. Communicate with payer representatives via phone and email to resolve claim issues. 4. Document all interactions and updates in the claim management system. 5. Track and prioritize accounts that require future follow‑up or escalation. 6. Maintain accurate records of claim status, ensuring compliance with internal SLAs. 7. Assist senior analysts in preparing daily/weekly claim performance reports. 8. Participate in nightly shift duties, handling high‑volume claim queues. 9. Uphold data privacy and confidentiality standards as per HIPAA and local regulations. 10. Sign a two‑year service agreement and commit to the organization’s night‑shift schedule. **Tech Stack & Tools**: The role primarily uses claim management software (e.g., Medusind, Trizetto), MS Office (Excel for data analysis), and basic CRM tools. Familiarity with healthcare terminology (ICD‑10, CPT) and RCM concepts is advantageous. **Growth Path**: Starting as a Junior Analyst, high performers can progress to Senior Analyst, Team Lead, and eventually RCM Manager within 2‑4 years. The company offers regular training, certification support (e.g., Certified Revenue Cycle Professional), and exposure to cross‑functional projects. **Why Join Data Marshall?** The position provides a structured learning environment, attractive compensation for freshers, and the chance to work directly with industry experts in healthcare finance. The night‑shift model ensures a balanced workload and the opportunity to develop strong negotiation and communication skills, which are highly valued across the sector. Moreover, the two‑year service agreement guarantees job stability and a clear roadmap for professional development.

Data Marshall β€” Data Analytics & SQL 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 🎯
Data Marshall Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Data Marshall 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 (Strong communication, analytical thinking, problem solving, AR calling, insurance claim follow‑up, EOB review, ERA analysis, RCM knowledge, denial management, night‑shift adaptability, basic MS Excel, customer handling) & 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
Data Marshall Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Data Marshall as a Junior Analyst- AR Caller (Fresher)?
Preparation Tip: Highlight Data Marshall's market reputation, recent tech innovations, and how your skills in Strong communication 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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