Jobs at Beghou Consulting

Supports implementation and configuration of the Mainsail platform for life sciences clients. Responsibilities include front-end configuration with HTML and CSS, minor UI and form updates, data preparation and validation, basic SQL queries, collaboration with consultants, documentation, issue tracking, and learning platform delivery practices and .NET-based workflows.

The Associate Consultant develops code to ingest, clean, and process life sciences data; troubleshoots data workflows; produces accurate client deliverables; and identifies metrics for reports, dashboards, and presentations. The role involves client engagement, problem-solving, and strategic consulting related to salesforce sizing, territory alignment, and incentive compensation. Candidates collaborate across teams, contribute to ad hoc projects, and build expertise in sales and marketing analytics.

Develop and troubleshoot data ingestion, cleaning, processing, reporting, dashboards, analyses, and client deliverables for life sciences consulting projects. Communicate project results and expectations to clients, lead client sub-teams, ensure accurate and timely delivery, perform advanced analytics, and guide Associate Consultants. The role also requires collaboration across teams, client relationship management, presentations, and adaptable problem-solving.

Leads operational transformation initiatives supporting delivery quality, organizational scaling, India-U.S. staffing models, and AI-enabled workforce adoption. Converts strategy into measurable goals, dashboards, KPIs, governance processes, and operating rhythms. Maps consulting workflows, identifies AI opportunities, measures productivity and business impact, and drives change management. Partners with senior leadership and cross-border consulting teams to improve staffing, capacity planning, engagement health, delivery consistency, and scalable internal systems.

Leads cross-functional data management and analytics projects for pharmaceutical and life sciences clients. Responsibilities include data warehouse development, ETL and schema design, data analysis, process optimization, client communication, project management, business development, and mentoring junior staff. The role also provides strategic guidance, develops reporting solutions, manages timelines and resources, and contributes to internal data platform initiatives.

Manages secure collection, standardization, de-identification, and aggregation of sensitive patient data from EHRs, laboratory systems, and external databases. Builds Python and PySpark data aggregation solutions, maintains secure pipelines, monitors data quality, supports HIPAA-compliant governance and audits, and develops SOPs. Leads client communications, meetings, recommendations, and multiple data aggregation projects while ensuring compliance with privacy and security standards.

Lead and execute data-driven commercial projects for pharmaceutical clients: define scope, design data warehouse and ETL, perform data engineering and analysis, generate actionable insights, manage client communications, lead project teams, and support internal initiatives.

Supports consulting projects and client deliverables through business analytics, data organization, reporting, dashboard preparation, project coordination, stakeholder communication, and process improvement. The role tracks milestones, documents meetings, follows up on action items, manages multiple assignments, and contributes to operational and strategic initiatives across internal and global teams.

Lead patient services analytics across hub services, specialty pharmacy, copay assistance, prior authorization, appeals, and claims. Apply advanced analytics and data science to identify access barriers, improve therapy initiation and adherence, and support commercialization strategies. Develop dashboards, KPI reporting, and actionable recommendations for market access and commercial leadership. Partner with clients, vendors, specialty pharmacies, and cross-functional teams while ensuring data quality, governance, and effective stakeholder communication.

Lead design, build, and optimization of Snowflake-based data ecosystems. Implement ingestion, pipelines, transformation, governance, and integrations with ETL/orchestration and cloud platforms. Ensure compliance for regulated life sciences data, mentor and manage teams, drive client relationships, and manage project delivery, finances, and stakeholder communication.

Design, architect, and implement scalable enterprise applications on the Microsoft stack. Build RESTful APIs, microservices, and integrations; manage SQL Server databases; lead code quality, CI/CD, and DevOps practices in Azure; collaborate with product and stakeholders to deliver high-performance, secure solutions.

Use healthcare and commercial data to drive pharmaceutical commercial strategy: customer segmentation, territory and sales-force optimization, launch planning, predictive modeling, dashboards, and client-facing presentations. Manage multiple analytics projects, build automated workflows, and translate insights into actionable commercial recommendations for clients.

The Manager of Commercial Operations & Analytics will lead client engagements, manage projects, enhance data processes, and drive client relationships within the life sciences sector.

Manage operations for client engagements in the life sciences industry, leading teams, enhancing data processes, and fostering client relationships while delivering quality analytics.

Leads the design and implementation of Snowflake-based data management solutions for life sciences clients. Translates business requirements into data models, technical designs, transformation logic, and implementation plans; owns technical workstreams through deployment; and delivers ingestion, transformation, warehousing, reporting, testing, and operational readiness. The Consultant troubleshoots complex data issues, advises clients, mentors junior team members, contributes to project planning, and develops scalable data engineering best practices.

Lead end-to-end MDM implementations for HCP, HCO, and payer data in pharma. Manage project scope, vendors, budgets, SOWs, data quality, and client communications. Provide strategic recommendations, mentor junior staff, drive product and process improvements, and collaborate across global teams.

Leads commercial operations and analytics engagements for life sciences and pharmaceutical clients. Responsibilities include project and team leadership, data process enhancements, analytics and reporting oversight, client relationship management, proposal development, project financial management, business growth initiatives, and mentoring. The role requires pharma commercial expertise across data management, sales operations, commercial analytics, and BI/reporting, plus coding and data visualization skills.

Leads commercial analytics projects for pharmaceutical and life sciences clients, overseeing cross-functional teams, project strategy, data analysis, client communication, deliverables, and timelines. Develops data processes and reporting solutions using coding and visualization tools, provides strategic insights, supports business development, and mentors junior staff. Acts as a subject matter expert and primary client contact while coordinating global teams and managing multiple projects.

Lead proposal development and manage commercialization analytics projects for life sciences clients. Build and enhance reports, online tools, and data processes; perform advanced analyses and deliver insights using SAS, Python, VBA, and BI tools. Drive client relationships, identify growth opportunities, manage project financials and SOWs, and mentor junior team members while contributing to organizational initiatives.

Support analytics and operations for life sciences clients: collect and analyze data, prepare reports and dashboards, coordinate cross-functional project tasks, track progress, document meetings, and contribute to process improvements to ensure timely delivery of client and internal deliverables.