Requirements

Expected technologies

Azure Databricks

Snowflake

PostgreSQL

MySQL

Operating system

Windows

macOS

Our requirements

• Master’s degree in Statistics, Computer Science, or a related field.
• Proven experience as a Data Analyst or in a similar role, preferably within the pharmaceutical or healthcare industry.
• Strong knowledge of data manipulation and analysis using Azure Databricks and Snowflake.
• Experience with relational databases (PostgreSQL, MySQL).
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Strong communication skills, with the ability to present complex data in a clear and understandable manner.
• Ability to work collaboratively in a team-oriented environment.
• Fluent in English, both written and spoken.

Your responsibilities

• Partner with product managers, developers, and other stakeholders to understand product objectives and requirements.
• Act as a liaison between technical teams and business stakeholders to ensure alignment on goals and deliverables.
• Analyze complex data sets to extract actionable insights that inform product development and enhancement.
• Leverage business knowledge to provide context and recommendations that enhance product strategy.
• Apply insights and relevant data to help the product team enhance existing features and develop new ones.
• Create, support, and replicate scalable data structures, including table creation, reporting, and data visualizations to meet team needs.
• Analyze key performance indicators (KPIs) to identify root causes, uncover interdependencies, forecast trends, and provide actionable insights.
• Collaborate closely with the analytics lead and stakeholders to gather requirements and ensure alignment with business needs.
• Extract, clean, and analyze data from various source systems to ensure high-quality, accurate reporting.
• Identify trends, patterns, and actionable insights to help stakeholders make data-driven decisions.
• Document processes, KPIs, and data models to foster knowledge sharing and team alignment.