Sr. Data Analyst

About

COMPANY: Thermo Fisher Scientific Inc.

LOCATION: 300 Industry Dr., Pittsburgh, PA 15275

HOURS: Monday to Friday, 8:00 am to 5:00 pm

Travel: Up to 10% domestic and international travel required.

Responsibilities

• Lead strategic data science initiatives to boost revenue and market presence.
• Leverage data analytics and statistical methods to create insights and data-driven business solutions that enhance sales and marketing strategies.
• Formulate and execute data-driven strategies to augment revenue.
• Utilize analytical and statistical skills to convert complex datasets into actionable business insights.
• Develop and implement advanced statistical models to drive sales and marketing effectiveness.
• Collaborate with cross-functional teams to pinpoint and solve business problems and seizing opportunities for market growth.
• Analyze and provide interpretations of large datasets for strategic decision-making and creating periodic and ad hoc reports.
• Execute A/B testing to substantiate data science initiatives and optimize market strategies.
• Curate and disseminate product recommendations through commercial and digital communication channels.
• Design and maintain database schemas to support product features and ensure data integrity.
• Optimize database performance through indexing, query optimization, and regular maintenance.
• Collaborate with cross-functional team on data science driven web capability design and web performance analytics.
• Work with corporate teams to conduct digital technology and data science driven API project and innovative AI-driven product development and UX design.
• Implement Agile methodologies, including Scrum or Kanban, to manage project workflows and team collaboration.
• Implemented performance evaluate approaches using Six Sigma methodology to improve processes, and enhance data management and digital tactics efficiency across the division.
• Establish and monitor key performance indicators (KPIs) to gauge and steer program success.
• Design and implement a systemic program reporting structure for use across the organization.
• Assess program performance data to identify and advocate for continuous improvement.
• Enhance, refine, and automate current analytical tools and processes for increased efficiency.
• Coordinate with cross-functional teams, contributing to sales engagement improvements and product strategy optimizations.
• Lead data science initiatives leading to optimized email campaign metrics and expanded collaboration with key suppliers.
• Build and launch outstanding digital campaign results.

Requirements

MINIMUM Education Requirement: Master’s degree or foreign degree equivalent in Data Analytics, Data Science, Digital Technology, Business Analytics, or a related field of study.

MINIMUM Experience Requirement: 6 years of experience in marketing research, data analytics, or related experience.

Experiences in SQL, Python, Eloqua, Salesforce and Google Analytics & Six Sigma certification(Green Belt) are required.

Required knowledge or experience with: SQL Server; SPARK or Python; Visualization tools; Statistical analysis; Business analytics with data intelligence; Salesforce.com; Eloqua; Six Sigma certified; and Google Analytics qualified.