Consultant, Data Analytics

Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go‑to‑market strategies and building foundational data‑analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third‑party technology solutions to help companies forecast performance, design territories, manage customer data, and report on medical and commercial data.

This role supports the conceptualization, execution, and integration of data‑driven projects for commercial efforts in the pharmaceutical and life sciences industries. You will drive innovation and creative solutions within various work streams and provide thought leadership, leading project teams and guiding internal stakeholders toward project success.

• Work with cross‑functional project teams to design and develop high‑quality deliverables for clients
• Collaborate with leadership to define project scope, approach, and development strategies
• Contribute to Beghou’s internal data warehouse build
• Demonstrate knowledge of data platform components (warehouse, monitoring, etc.) and data engineering (ETL design, schema design, etc.) and CI/CD best practices
• Analyze data, synthesize findings, and develop actionable insights, communicating results to both internal and external teams
• Handle client communications, meet facilitation, and timelines, serving as a primary point of contact with minimal oversight
• Develop and optimize data processes, utilizing coding where necessary to facilitate efficient data handling and reporting
• Coordinate with global and diverse teams to ensure seamless project execution
• Contribute to internal firm initiatives that drive organizational growth

• Bachelor’s or advanced degree with at least 2+ years of relevant professional experience, preferably in the pharmaceutical or life sciences industry
• Experience with one or more UI‑based ETL tools (e.g., Azure Data Factory, Alteryx, Informatica, Snap Logic, Boomi, Prophecy)
• Experience with relational database technologies such as Databricks, Snowflake, PostgreSQL, Oracle, and MySQL
• Strong proficiency in Microsoft Office tools (Word, PowerPoint) and advanced expertise in Excel
• Knowledge of coding languages (e.g., Python, PySpark, SAS, VBA) and experience with data visualization software (e.g., Tableau, Power BI)
• Experience with Claude Code or ChatGPT Codex is preferred
• Excellent analytical and quantitative skills with a proven ability to solve complex problems
• Exceptional written and verbal communication skills
• Demonstrated organizational, time management, and project management skills, with the ability to lead teams and manage multiple projects simultaneously
• Strong ability to collaborate, adapt quickly, and work effectively in a fast‑paced environment
• Familiarity with industry best practices in data analytics within the pharmaceutical sector

The wage range for this role is $90,000 to $110,000. Compensation decisions depend on qualifications, experience, and business needs. Benefits include a competitive compensation package and a full complement of benefits such as medical, dental, vision, life & AD&D coverage, disability insurance, a lifestyle wellness account, generous PTO, company holidays, paid parental and bonding leave, a flexible hybrid work policy, 401(k) with employer match, tax‑free commuter, health, and childcare accounts, performance bonuses, a monthly phone stipend, and an employee discount program.

We are committed to fostering an inclusive company culture that respects and promotes diverse backgrounds and points of view. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. Must be legally authorized to work in the United States. We are proud to be an equal‑opportunity employer.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications and assessing responses. These tools assist but do not replace human judgment, and final hiring decisions are made by humans. If you would like more information about how your data is processed, please contact us.