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Salary
≈ $16k – $43k per year (Estimated)
Location
Hybrid (Bengaluru, India)
Seniority
Middle · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Oct 15, 2026. Beghou Consulting scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Beghou Consulting is a life sciences consulting and technology firm headquartered in Evanston, Illinois, that helps pharmaceutical and biotech companies with commercial strategy, launch planning, analytics, data management and customer engagement. Founded in 1993, it also deploys proprietary and third-party software for forecasting, territory design, customer data management and reporting, and operates about ten offices, including Emeryville, New York and Rockville in the US. It hires consultants and managers in commercial operations and analytics, launch strategy, patient solutions and value and access, plus data engineers, AI and machine learning engineers and software developers.

Purpose of Job

As a Consultant in a Data Warehousing project encompass a range of technical, analytical, and collaborative tasks essential for effective data management. You will play a pivotal role to ensure that the organization can effectively leverage its data assets for informed decision-making.

We'll trust you to:

  • Undertake primary ownership in driving self and team member’s effort across all phases of a project lifecycle
  • Oversees and develops Data Warehouse projects to ensure methodological soundness; deliver quality client deliverables within expected timeframe
  • Assist in designing data models that reflect business needs and support analytical objectives
  • Partner with Project lead/ Program lead in delivering projects and assist in project management responsibility like - project plans, and risk mitigation
  • Develop and maintain comprehensive documentation for data warehouse architecture, ETL processes, and system configurations to ensure clarity and compliance
  • Participate in design reviews and code reviews to ensure adherence to quality standards and best practices in data warehousing
  • Foster collaboration with onshore and offshore team members to ensure seamless communication and effective task execution
  • Lead task planning and task distribution across team members and ensure timely completion with high quality and report accurate status to project lead
  • Mentor/coach the junior members in the team
  • Oversee direct and indirect client communications based on assigned project responsibilities:
  • -Foster a culture of continuous improvement and innovation while demonstrating the ability to learn new technologies, business domains, and project management processes
  • -Analyze problem statements and client requirements to design and implement complex solutions using Programing languages, ETL platform
  • Exhibit flexibility in undertaking new and challenging problems and demonstrate excellent task management
  • Provides project leadership for team members regarding process improvements, planned approaches for client requests, or transition of new deliverables.

You'll need to have:

  • 4-6 years of hands-on experience in Master Data Management (MDM), within relevant consulting-industry experience
  • Strong understanding of core MDM concepts, including data stewardship, data governance, and data quality management
  • Proven experience in Customer Mastering (HCP/HCO) & address mastering and standardization using third party tools
  • Proficient in data profiling, applying data quality rules, data standardization, and reference data management
  • Familiarity with key pharma data sources such as IQVIA, MedPro, Symphony, etc.
  • Ability to translate both functional and non-functional business requirements into scalable, efficient MDM solutions
  • Hands on experience with leading MDM platforms such as Reltio, Informatica MDM, etc. is a plus
  • Strong logical thinking and problem-solving skills, with a collaborative mindset
  • Proficiency in Python for scripting and data manipulation
  • Strong SQL skills for data extraction and analysis
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