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JD #3907
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Associate Data Analyst

labcorp

  • Pan India
  • 4.5 LPA
  • Fresher (0-1 Yrs)
  • Posted Yesterday
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About the role

Labcorp (Laboratory Corporation of America) is a global leader in clinical laboratory services, diagnostics, and data-driven healthcare solutions. With a presence in over 60 countries, Labcorp helps physicians, hospitals, and patients make better health decisions through advanced testing, data analytics, and innovative research. In India, Labcorp has been expanding its clinical research and data management capabilities, offering fresh talent a chance to work on real‑world clinical data that directly impacts patient outcomes.

The company prides itself on a culture of scientific rigor, collaboration, and continuous learning, making it an attractive destination for recent graduates eager to start a career in life‑science data analytics.

The Associate Data Analyst (ADA) role is an entry‑level position that supports the Data Analyst team in handling data discrepancies between sponsors, CROs, investigators, and Labcorp’s internal databases. The ADA will act as a bridge between clients and internal stakeholders, ensuring that data revisions are performed accurately, timely, and in compliance with Good Clinical Practice (GCP) guidelines. This role offers exposure to end‑to‑end data reconciliation processes, audit‑ready documentation, and cross‑functional teamwork across global locations.

Key Responsibilities

  • Communicate proactively with internal teams, clients, and cross‑functional partners to resolve data discrepancies.
  • Analyse simple to moderately complex data issues and update databases as per client requirements.
  • Execute data revisions following established cleaning and revision SOPs.
  • Assist Workflow Leads and Client Leads in planning and executing data reconciliation activities.
  • Participate in mandatory Data Reconciliation Center (DRC) meetings and relevant training programs.
  • Escalate unresolved issues to appropriate leads or management for timely closure.
  • Maintain audit‑ready documentation and support quality investigations, CAIRs, and corrective actions.
  • Contribute to continuous‑improvement initiatives aimed at enhancing productivity and customer experience.
  • Provide administrative and technical support to internal departments as needed.
  • Undertake special projects assigned by senior management.

Tech Stack & Tools: Microsoft Office (Word, Excel, Outlook), clinical data management systems, basic SQL for data extraction, GCP compliance knowledge, and internal Labcorp data platforms.

Growth Path: Starting as an Associate Data Analyst, high performers can progress to Data Analyst, Senior Data Analyst, and eventually to Data Management Lead or Project Manager roles, with opportunities to specialize in clinical data science, regulatory affairs, or product analytics.

Why Join Labcorp? You will work in a globally recognized healthcare organization, gain hands‑on experience with real clinical data, receive structured training, and benefit from a collaborative culture that values innovation, work‑life balance, and career development.

Eligibility & process

Who can apply

Bachelor’s degree in Life Sciences, Biotechnology, Pharmacy, or related field; minimum 60% aggregate; no active backlogs; graduating batch 2023‑2025; strong analytical mindset and good communication skills.

Skills & stack

Data Analysis Microsoft Excel Microsoft Word Outlook Gcp Guidelines Data Reconciliation SQL GCP

Selection process

  1. Round 1: Online aptitude/technical assessment
  2. Round 2: Technical interview (data handling & scenario based)
  3. Round 3: HR interview (fit & cultural alignment)

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
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 (Data Analysis, Microsoft Excel, Microsoft Word, Outlook, Gcp Guidelines, Data Reconciliation, SQL, GCP) & 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 labcorp Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
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
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
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
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
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.
Behavioural & HR questions 3
Why do you want to join labcorp as a Associate Data Analyst?
Highlight labcorp's market reputation, recent tech innovations, and how your skills in Data Analysis directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
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?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
labcorp 4.5 LPA
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