Business Intelligence & Analytics Manager

Thermo Fisher Scientific • Greenville, NC

19h • Onsite

About The Position

Thermo Fisher Scientific Inc. is seeking a Business Intelligence & Analytics Manager to join their team in Greenville, NC. This role involves conducting full life cycle data infrastructure analysis, from requirements gathering to implementation of advanced analytics, data integration, and business intelligence. The manager will interpret data using statistical techniques and set up predictive analysis models and reports using various tools. They will also establish business relationships, partner with business and IT teams to enhance reporting and analytical solutions for finance processes, and manage application and data integration platforms. Collaboration with functional teams for analytics support and defining standardized reporting are key aspects of this role. The position requires translating business intelligence into concise presentations for decision-making. Travel up to 25% domestic and international is required.

Requirements

• Bachelor’s degree in Computer Science, Business Administration, Finance, or related field of study.
• 5 years of experience in business intelligence development and process transformation, or related experience.
• Data Warehousing, Modelling and SQL to build and optimize queries and extract data.
• VBA and Python to handle large data sets and smoothen existing/redundant processes.
• Creating stand-alone dashboards using visualization tools (including QuickSight, Power BI & Tableau).
• Using business intelligence reporting / visualization tools (Excel, OBIEE, Business Objects, Cognos, Tableau, or Cubes).
• Data modeling and transformation of large scale data sources using SQL, Hadoop, Spark, Hive, EMR, or other Big Data technologies.
• Scripting for automation (including Python, Perl, or R).

Responsibilities

• Conduct full life cycle data infrastructure analysis from requirements gathering, business analysis, and design to implementation of advanced analytics initiatives, data integration/engineering, and business intelligence and data warehousing.
• Interpret data and analyze results using data mining and statistical techniques from SAP ERP data to set up predictive analysis models and reports using Excel, SQL, and other data manipulation languages.
• Establish close business relationships across the organization and partner with the business and IT teams to streamline existing and introduce enhanced reporting and analytical solutions focused on automation and improvement of finance processes by leveraging complex data sources derived from multiple internal systems.
• Manage application and data integration platforms.
• Collaborate with functional teams to provide analytics support for recurring business operating mechanisms, as well as ad hoc, time sensitive requests to advance key initiatives.
• Help define standardized reporting and ensure data source integrity for high fidelity analytics.
• Translate business intelligence into concise presentation formats to guide discussion and critical decision making for intended audience.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees