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Advarra

Data Quality & Stewardship Analyst

Richmond Town, Bangalore, Karnataka, India

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hirly's read of this role

Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
26 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Company Information

At Advarra, we are passionate about making a difference in the world of clinical research and advancing human health. With a rich history rooted in ethical review services combined with innovative technology solutions and deep industry expertise, we are at the forefront of industry change. A market leader and pioneer, Advarra breaks the silos that impede clinical research, aligning patients, sites, sponsors, and CROs in a connected ecosystem to accelerate trials.

Company Culture

Our employees are the heart of Advarra. They are the key to our success and the driving force behind our mission and vision. Our values (Patient-Centric, Ethical, Quality Focused, Collaborative) guide our actions and decisions. Knowing the impact of our work on trial participants and patients, we act with urgency and purpose to advance clinical research so that people can live happier, healthier lives.

At Advarra, we seek to foster an inclusive and collaborative environment where everyone is treated with respect and diverse perspectives are embraced. Treating one another, our clients, and clinical trial participants with empathy and care are key tenets of our culture at Advarra; we are committed to creating a workplace where each employee is not only valued but empowered to thrive and make a meaningful impact.

Job Overview Summary

This role supports Advarra Data Initiatives by improving the completeness, accuracy, consistency, and usability of key data sets across business systems. The Data Quality & Stewardship Analyst is responsible for evaluating robust data sets, identifying missing or inconsistent data elements, investigating root causes, and performing hands-on data remediation in approved source systems and workflows.

In this role, the Analyst will match, reconcile, and validate disparate data sets, document data quality findings, and partner with business and technical stakeholders to maintain trusted, fit-for-purpose data. The right candidate is detail-oriented, comfortable working independently through ambiguous data questions, and able to apply repeatable processes to drive measurable improvements in data quality and completeness.

Job Duties & Responsibilities

Evaluate data sets for completeness, accuracy, duplication, consistency, and alignment to defined business rules.

Identify missing, inconsistent, outdated, or conflicting data elements and complete or correct records in approved systems and workflows.

Match, merge, reconcile, and validate data across disparate systems or sources using defined logic and investigative analysis.

Perform data profiling and quality checks using tools such as SQL, Excel, Power Query, or other data management tools.

Document data issues, remediation steps, matching logic, assumptions, and repeatable quality-control procedures.

Partner with Data Initiatives, business operations, technology, and analytics teams to understand data definitions, source systems, and quality expectations.

Escalate systemic data gaps, process defects, or system constraints that prevent data completeness or quality.

Manage assigned data quality activities independently, communicate progress, and support quality metrics, scorecards, or exception reporting.

Location

This role is open to candidates working in Bengaluru, India (hybrid).

Basic Qualifications

Bachelor's degree or equivalent combination of education and related work experience.

2-4 years of relevant work experience in data quality, data stewardship, data operations, data analysis, business operations, or a related field.

Demonstrated experience evaluating, cleaning, reconciling, or maintaining business data across systems.

Advanced Excel skills and working knowledge of SQL or other query/reporting tools to extract, compare, and validate data.

Ability to interpret data dictionaries, business rules, source system fields, or process documentation.

Strong analytical and problem-solving skills with the ability to investigate discrepancies and determine appropriate remediation paths.

Exceptional attention to detail and commitment to data accuracy and completeness.

Ability to work independently, manage repetitive and investigative data tasks, and prioritize competing requests.

Clear written and verbal communication skills; able to document findings and collaborate across cross-functional teams.

Ability to quickly learn new systems, processes, data structures, and business terminology.

Competencies: attention to detail, accountability, adaptability, curiosity, process discipline, and time management.

Preferred Qualifications

Experience with CRM, CTMS, eClinical, clinical research, healthcare, or regulated industry data.

Experience with data matching, de-duplication, master data management, or data governance practices.

Familiarity with BI or data tools such as Power Query, Tableau, Power BI, Python, or R.

Experience creating or maintaining data quality rules, exception reports, dashboards, scorecards, or relevant certifications.

Physical and Mental Requirements

Sit or stand for extended periods of time at stationary workstation

Regularly carry, raise, and lower objects of up to 10 Lbs.

Learn and comprehend basic instructions

Focus and attention to tasks and responsibilities

Verbal communication; listening and understanding, responding, and speaking

Advarra is an equal opportunity employer that is committed to providing a workplace that is free from discrimination and harassment of any kind based on race, color, religion, creed, sex (including pregnancy, childbirth, and related medical conditions, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other status or characteristic protected by federal, state, or local law.

Original posting on Advarra's site ↗

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