Consultant, Data Analytics

We’ll Trust you to:

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.

You’ll Need to Have:

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), preferred.

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) is highly preferred.

Experience with Claude Code or ChatGPT Codex is preferred.

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.