120 Data Validation jobs in India

Clinical Data Validation Specialist - Elluminate experience

Location: Bangalore/ Mumbai /Remote (WFH)

Experience: 2+ years

Job Responsibilities:

• Develop and implement data cleaning and reporting solutions to ensure quality and timely delivery of study data, metrics, and visualizations as per data review plans.
• Create and maintain documentation for all reporting deliverables throughout the study lifecycle.
• Build a library of reusable data checks in collaboration with data engineers and configuration specialists.
• Partner with cross-functional teams to define business rules and establish an automated check library across therapeutic areas.
• Ensure compliance with SOPs and work practices.
• Act as a technical resource in developing data analytics for data validation and cleaning.
• Support knowledge sharing and training on reporting tools to ensure data accuracy and integrity.
• Provide programming expertise to enhance data quality and create tools, macros, and libraries for efficient data review.
• Develop and test data review listings and maintain operational excellence through collaboration with clinical data management and medical reviewers.
• Drive innovation and process improvement in reporting and data management practices.

Core Strength:

• Bachelor’s degree in computer science, Statistics, Biostatistics, Mathematics, Biology, or a related health field, or equivalent experience.
• Good understanding of the drug development process and regulatory data standards (CDISC, SDTM preferred).
• Minimum 2 plus years of experience in developing programming listings and visualizations using tools such as Veeva CDB, JReview, or Elluminate (Elluminate experience preferred).
• Proficient in programming languages such as CQL, SQL, SAS, R, or Python.
• Familiar with clinical database systems (e.g., Metadata Rave, Veeva, InForm).
• Skilled in using Microsoft Office tools (Word, Excel, Outlook).
• Strong understanding of clinical trial terminology.
• Able to work independently in a fast-paced environment, demonstrating initiative and adherence to deadlines.

Looking For ETL Data Analyst Having Experience in the Healthcare domain 

Total Exp - 5 to 10 yrs

Loc: Pune/Mumbai/Hyderabad/Bangalore/Chennai (5 days Working – WFO)

Healthcare business and data analysis

• Create source-to-target mapping based on requirements

• Create rules definitions and transformation logic

• Gather and prepare analysis based on information from internal and external sources to evaluate and demonstrate program effectiveness and efficiency, and problem-solving

• Developing scalable reporting processes and querying data sources to conduct ad hoc analyses/detailed data profiling.

• Assume responsibility for data integrity among various internal groups and/or between internal and external sources

• Proficient in SQL understands data modeling concepts and ETL

• Aware of or willing to learn key concepts of Kafka, Databricks, GitHub, Airflow, Azure storage to support DataOps incident remediation work

• Must have an aptitude for learning new data flows quickly and participate in data quality and automation discussions.

• Must be able to take end to end responsibility in quickly solving data issues in production setting and be comfortable in engaging customers as needed for issue resolution

Proficient in Business analysis, Data Analysis, Mapping data from one format to another, Healthcare data experience(must), SQL(must), Snowflake(preferred), Databricks(preferred), Kafka(preferred)

Undergraduate degree or equivalent experience

• 5 or more years of data analysis experience

• 5 or more years of systems analysis/requirement gathering experience

• 3+ year of Health Care/Claims data experience

• Assist in data collection and data entry processes.
• Perform data cleaning and preprocessing to ensure data quality.
• Conduct statistical analysis under the guidance of senior researchers.
• Create data visualizations to illustrate findings.
• Contribute to research reports and presentations.
• Learn and apply various data analysis techniques.
• Collaborate with team members on research projects.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of statistical concepts and methods.
• Familiarity with data analysis tools or programming languages (e.g., Excel, Python, R) is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and organizational abilities.
• Good written and verbal communication skills.
• Ability to work effectively in a team environment.
• Must be available for the duration of the internship at our Chennai, Tamil Nadu, IN office.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis methodologies.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong communication and teamwork abilities.
• Ability to work independently and manage tasks effectively in a remote setting.

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Create data visualizations and reports to communicate findings.
• Support data scientists and analysts in developing analytical models.
• Contribute to data quality checks and validation processes.
• Learn and apply various data analysis tools and techniques.
• Participate in team meetings and contribute to project discussions.
• Assist in documenting data analysis processes and methodologies.
• Understand business requirements and translate them into data analysis tasks.
• Develop basic skills in statistical analysis and reporting.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong foundational knowledge of statistical concepts and principles.
• Basic understanding of data analysis and visualization techniques.
• Proficiency in MS Excel and familiarity with data analysis software (e.g., Python, R, SQL - basic knowledge is a plus).
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal abilities.
• Eagerness to learn and a proactive attitude.
• Ability to work effectively in a team environment.
• Attention to detail and accuracy.

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform basic statistical analysis on datasets to identify trends and patterns.
• Create clear and concise data visualizations (charts, graphs) to communicate findings.
• Support senior analysts in developing reports and dashboards.
• Learn and apply data analysis tools and techniques.
• Contribute to data quality checks and validation processes.
• Collaborate with cross-functional teams to understand data needs.
• Assist in interpreting data and providing actionable insights.
• Participate in training sessions to enhance data analysis skills.
• Document methodologies and findings for future reference.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Recent graduates with a strong academic background in quantitative subjects.
• Basic understanding of statistical concepts and methods.
• Proficiency in Microsoft Excel is required.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Knowledge of programming languages like Python or R is a plus.
• Excellent analytical and problem-solving abilities.
• Strong communication skills, both written and verbal.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.