Jobs at Beghou Consulting

Lead implementation and configuration of Salesforce Data Cloud to build a unified customer view. Manage data ingestion, harmonization, identity resolution, modeling, segmentation, calculated insights, API integrations, data quality, governance, testing, and performance monitoring. Collaborate with CRM, analytics, integration, and business teams to translate use cases into scalable Data Cloud solutions and advise IT leadership on roadmap and best practices.

Lead a team of data scientists to leverage analytics and machine learning in the life sciences sector, optimizing outcomes through data-driven insights.

Lead cross-functional commercial analytics projects for life sciences clients: define scope, manage timelines and client communications, analyze data, develop actionable insights, build/optimize data processes (including coding), mentor junior staff, coordinate global teams, and support business development and firm initiatives.

Provide advanced analytics and AI/ML support for life sciences clients, lead the India delivery team, manage projects using structured PM methods, develop recommendations and deliverables, mentor junior staff, support business development, and enhance analytics services and knowledge repositories.

The Patient Data Aggregator collects, cleans, and aggregates sensitive patient data, ensuring compliance with privacy regulations and managing secure data pipelines while collaborating with teams to support clinical and operational needs.

As an Associate Consultant, you will manage Data Warehousing projects, design data models, assist in project management, mentor team members, and ensure data quality for informed decision-making.

The Consultant, Data Analytics will lead data-driven projects in the pharmaceutical sector, fostering innovation and providing insights through analytics and technology facilitation.

Lead and deliver customer engagement, field force sizing, and sales force optimization analytics projects for life sciences clients. Design solutions, manage stakeholders, mentor junior staff, build templates and capabilities, and translate analytics into commercial strategies and field deployment recommendations.

The Senior Consultant will lead data-driven projects in commercial operations and analytics for life sciences companies, provide strategic advice, manage teams, and analyze data to deliver insights and solutions.

Lead cross-functional teams in data-driven projects within the pharmaceutical industry, providing strategic advice, insights, and mentorship to junior members.

This role involves leading data-driven projects in the pharmaceutical and life sciences sectors, collaborating with teams, and delivering insights through advanced analytics and technology.

Collect, clean, de-identify, and aggregate patient-level data from EHRs, labs, and external sources within HISEC environments. Build secure data pipelines and repositories, apply tokenization and expert determination de-identification, ensure HIPAA/GDPR compliance, monitor data quality, produce anonymized datasets, document provenance, support audits, and lead data-aggregation implementations using Python and PySpark while managing client communication.

Lead cross-functional teams to design and deliver commercial analytics solutions for pharmaceutical clients. Define project scope, analyze and synthesize data to produce actionable insights, manage client communications and timelines, develop/optimize data processes (including coding and visualization), mentor junior staff, and support business development and firm initiatives.

Independently research, organize, analyze, and visualize client data to support commercial data projects for life sciences firms. Build and maintain data processes, dashboards, and reports; troubleshoot scheduled processes; communicate results to clients; lead small teams and mentor junior staff; and implement data solutions for product launch and commercialization.

As a Senior Consultant, you will lead advanced analytics projects, mentor a team, and collaborate with clients in life sciences to drive business growth.

Lead the design and delivery of data-driven solutions for commercial strategy in life sciences, guiding cross-functional teams, developing data products, and providing mentorship.

Lead cross-functional teams to design and deliver commercial analytics projects for life sciences clients. Provide strategic guidance, analyze data, develop actionable insights, manage client communications and timelines, build/optimize data processes (including coding and visualization), support business development, and mentor junior staff.

Support data-driven projects in pharmaceuticals, leading project teams, and providing insights through data analysis and collaboration with stakeholders.

Design and deploy AI solutions for pharmaceutical clients, collaborating with teams to develop tailored AI-driven innovations and conduct technical reviews.

Support project execution, collect and analyze data, prepare reports and dashboards, coordinate cross-functional teams, track project progress, document meetings, and support process improvements to ensure timely client deliverables.