Business Intelligence & Analytics Manager

Work Schedule

Environmental Conditions

Job Description

COMPANY: Thermo Fisher Scientific Inc.

LOCATION: 5900 Martin Luther King Jr. Highway Greenville NC 27834

TITLE: Business Intelligence & Analytics Manager

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

DUTIES: 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.
Travel: Up to 25% domestic and international travel required.

REQUIREMENTS: MINIMUM Education Requirement: Bachelors degree in Computer Science Business Administration Finance or related field of study. MINIMUM Experience Requirement: 5 years of experience in business intelligence development and process transformation or related experience. Required knowledge or experience with: 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; and Scripting for automation (including Python Perl or R).