Summary
Beghou is a company with over three decades of experience in helping life sciences companies optimize their commercialization through strategic insight and advanced analytics. The Consultant, Data Analytics role involves driving innovation and providing thought leadership on data-driven projects, collaborating with cross-functional teams to deliver high-quality results for clients.
Responsibilities
- Work with cross-functional project teams in the design and development of 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
- Work on projects, handling client communications, meeting 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 to drive organizational growth
Skills
- 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 additional UI-based ETL tools (e.g., Azure Data Factory, Alteryx, Informatica, SnapLogic, Boomi, Prophecy)
- Experience with relational database technologies, such as Databricks, Snowflake, PostgreSQL, Oracle, and MySQL
- Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel
- Knowledge of coding languages (e.g., Python, PySpark, SAS, VBA, etc.) and experience with data visualization software (e.g., Tableau, Power BI)
- Excellent analytical and quantitative skills, with a proven ability to solve complex problems
- Exceptional communication skills, both written and verbal
- 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
- Experience with Claude Code or ChatGPT Codex
Qualifications
Must Haves
- 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 additional UI-based ETL tools (e.g., Azure Data Factory, Alteryx, Informatica, SnapLogic, Boomi, Prophecy)
- Experience with relational database technologies, such as Databricks, Snowflake, PostgreSQL, Oracle, and MySQL
- Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel
- Knowledge of coding languages (e.g., Python, PySpark, SAS, VBA, etc.) and experience with data visualization software (e.g., Tableau, Power BI)
- Excellent analytical and quantitative skills, with a proven ability to solve complex problems
- Exceptional communication skills, both written and verbal
- 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
Nice to Haves
- Experience with Claude Code or ChatGPT Codex
Benefits
- Comprehensive medical, dental, and vision insurance
- Life & AD&D coverage
- Disability insurance
- Lifestyle Wellness Account to help you feel your best
- Generous PTO
- Company holidays
- Paid parental & bonding leave
- Flexible hybrid work policy
- 401(k) and employer match
- Tax-free commuter, health, and childcare accounts
- Performance bonuses
- Monthly phone stipend
- Access to an employee discount program
- Mentorship, training, and tuition reimbursement
- Charitable donation match