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Data Quality Business Analyst

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Onsite

Data Quality Business Analyst

Genpact

Data Quality Business Analyst

Skills

SQL QueriesData EngineeringSnowflakeDatabricksData AnalysisAIJiraCRMPower BI

19 days ago

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Important information


Contract type:

Permanent

Salary:

$130,000 – $140,000 / year

Location:

Philadelphia, PA, USA

Work mode:

Onsite

Published on:

7 October 2026

What they need


At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of Data Quality Business Analyst

The DQ Business Analyst will partner with business, data governance, data engineering, and data operations stakeholders to define data quality requirements and translate them into implementable rules, SQL logic, monitoring, and documentation. The role requires practical pharmaceutical data knowledge and the ability to independently move work from requirement discovery through validation and operational handoff.

Required Qualifications

  • 4-5 years of hands-on data quality implementation experience, including rule design, testing, deployment, monitoring, and issue follow-up.
  • Relevant DQ experience in pharma or life sciences, preferably supporting commercial, medical, patient, or field analytics use cases.
  • Working knowledge of common pharma datasets, such as IQVIA claims and prescription data, LAAD/patient-level data, HCP/HCO and affiliation data, Veeva CRM activity, payer/market access data, product sales, specialty pharmacy, marketing, and master/reference data.
  • Intermediate SQL skills, including joins, CTEs, aggregations, window functions, data validation, reconciliation, and troubleshooting.
  • Experience leading requirements workshops and translating business needs into clear DQ rules, thresholds, exceptions, ownership, notifications, SQL logic, acceptance criteria, and test scenarios.
  • Experience profiling source data and implementing checks for completeness, validity, uniqueness, consistency, accuracy, timeliness, volume, anomalies, reconciliation, and business rules.
  • Experience analyzing failed checks and record-level evidence, investigating false positives, coordinating issue triage, and documenting status, resolution, and recurring patterns.
  • Strong analytical, documentation, facilitation, and stakeholder communication skills; able to explain technical results in business terms and maintain audit-ready traceability

Preferred Qualifications

  • Experience using Databricks and Snowflake for profiling, query development, view creation, validation, and source-to-target reconciliation.
  • Hands-on experience with Ataccama ONE, including profiling, catalog, rules, monitoring projects, scheduling, notifications, result analysis, and rule documentation.
  • Familiarity with Collibra for catalog search, business glossary, ownership, lineage, governance relationships, and connecting DQ rules and results to governed assets.
  • Experience with Collibra Data Quality & Observability and Collibra workflows.
  • Experience with Power BI data-quality dashboards, incident reporting, KPI validation, or drill-through analysis.
  • Experience supporting UAT, production rollout, stakeholder training, Jira intake, operating procedures, and release controls.
  • Ability to identify opportunities for reusable rule templates, automation, and improved DQ operating processes.

Why join Genpact?

  • Lead AI-first transformation – Build and scale AI solutions that redefine industries
  • Make an impact – Drive change for global enterprises and solve business challenges that matter
  • Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
  • Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
  • Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build
  • Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.

Let’s build tomorrow together.

“Los Angeles, California based candidates are not eligible for this role. Philadelphia, PA area candidates are eligible for this role only.”

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

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