Business Intelligence & Analytics Manager

Thermo Fisher Scientific • Greenville, NC

1d • Onsite

About The Position

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of more than $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Thermo Fisher Scientific is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, creed, religion, color, national or ethnic origin, citizenship, sex, sexual orientation, gender identity and expression, genetic information, veteran status, age or disability status.

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