[Remote] Remote: Senior Data Analyst / Data Scientist

Note: The job is a remote job and is open to candidates in USA. IntePros is partnered with a global biopharmaceutical client to identify a Senior Data Analyst / Data Scientist. The role transforms complex enterprise data into actionable insights, develops predictive models and automated analytics, and creates executive reporting to support strategic decision-making, operational excellence, and continuous improvement.

Responsibilities

• Analyze current and historical enterprise data to identify strategic trends, operational insights, and opportunities for process improvement, cost optimization, and quality enhancements
• Translate complex analytical findings into actionable recommendations that support business strategy and operational performance
• Perform ad hoc analyses to support executive leadership, strategic initiatives, and operational decision-making
• Validate data accuracy and ensure the integrity of analytical outputs used to measure financial and operational improvements
• Develop statistical models, predictive analytics, forecasting tools, and automated analytical solutions that improve reporting efficiency and business outcomes
• Apply advanced analytical methodologies to identify risks, opportunities, and performance trends across the organization
• Support experimentation and data-driven decision making through statistical analysis and predictive techniques
• Extract, query, and analyze large, complex datasets from multiple enterprise systems using SQL and Python
• Develop scalable analytical processes, reusable code, and automated reporting solutions that reduce manual effort and improve consistency
• Partner with data engineering and data science teams to identify and resolve data quality issues and ensure reliable reporting
• Design, develop, and maintain executive dashboards, KPI reporting, and business intelligence solutions using Power BI, Tableau, Qlik Sense, or similar visualization platforms
• Create compelling presentations and visualizations that communicate complex data in a clear, concise manner for senior leadership
• Monitor key business metrics and provide ongoing insight into operational performance
• Partner with Operations, Quality, Finance, Information Technology, Business Intelligence, and Data Science teams to understand business challenges and translate them into analytical solutions
• Gather business requirements and recommend scalable, data-driven improvements that support enterprise objectives
• Contribute to continuous improvement initiatives through data analysis, process optimization, and operational reporting

Skills

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, Business Analytics, or a related discipline
• 5+ years of experience as a Senior Data Analyst, Business Intelligence Analyst, or in a similar analytics-focused role
• 2–4 years of experience applying advanced analytics, predictive modeling, statistical analysis, machine learning, or forecasting techniques to solve business problems
• Advanced SQL skills, including experience writing complex queries, joins, common table expressions (CTEs), window functions, and stored procedures against large relational databases
• Strong Python programming experience for data analysis, automation, statistical modeling, and reporting, including experience with libraries such as Pandas, NumPy, and Scikit-learn
• Experience developing dashboards, visualizations, and KPI reporting using Power BI, Tableau, Qlik Sense, or similar business intelligence platforms
• Experience working with enterprise data platforms and databases such as SQL Server, Oracle, Snowflake, SAP, or comparable systems
• Knowledge of data visualization, ETL concepts, data validation, automation, and reporting best practices
• Advanced proficiency with Microsoft Excel and PowerPoint for data analysis, reporting, and executive presentations
• Experience working with large, complex enterprise datasets from multiple structured data sources
• Demonstrated ability to translate complex analytical findings into clear, actionable business recommendations for senior leadership
• Strong analytical thinking, problem-solving, and communication skills with the ability to present technical concepts to both technical and non-technical audiences
• Proven ability to manage multiple priorities, work independently, and collaborate effectively across cross-functional teams in a fast-paced environment
• Master's degree in Data Science, Analytics, Statistics, Computer Science, or a related field
• Experience within the biopharmaceutical, biotechnology, healthcare, manufacturing, or life sciences industries
• Experience with cloud-based data platforms such as Snowflake, Microsoft Azure, AWS, or Google Cloud
• Experience supporting executive leadership with strategic analytics and enterprise reporting
• Knowledge of predictive analytics, optimization techniques, A/B testing, and statistical experimentation
• Experience automating recurring reporting and analytical workflows
• Experience with Git, Jupyter Notebook, Jira, ServiceNow, or Minitab is a plus

Company Overview

Company H1B Sponsorship