Senior Business Insights Developer

Company Information

• Company: Thermo Fisher Scientific Inc.
• Location: 168 Third Avenue, Waltham, MA 02451

Position Overview

Thermo Fisher Scientific is seeking a Senior Business Insights Developer to join their team. This role involves developing and maintaining data products, collaborating with various departments, and ensuring data quality.

Employment Details

• Employment Type: Full time
• Work Schedule: Standard (Mon-Fri), 8:00 am to 5:00 pm
• Location Type: Office (Can work remotely)
• Environmental Conditions: Office
• Travel: Up to 5% domestic and international travel required.

Responsibilities

• Develop and maintain SQL queries for data analysis and reporting.
• Present solutions consistent with architecture and application design.
• Design system architecture, data models, information flow, input/output configuration, and reports.
• Design, implement, and maintain data products (dashboards, reports, ETL pipelines).
• Work within an Agile scrum team to design, develop, unit test, debug, and maintain applications.
• Coordinate with Finance, Supply Chain, and Operations departments for meetings and resource assignments.
• Perform needs/requirements analysis and recommend solutions; interact with customers on business requirements.
• Provide tier one support for system availability on a rotating basis.
• Collaborate with teams to identify and analyze data requirements, design data models, and define data structures.
• Ensure data quality, consistency, and accuracy in all data products.
• Create and maintain documentation for all data products.
• Support various Business Solutions including ingestions, data models, and reporting.

Requirements

• Minimum Education: Master’s degree in Computer Science, Information Technology, or related field.
• Minimum Experience: 1 year of Business Intelligence and Insights, Data Science, or related experience.

Required Knowledge or Experience

• SQL development against RDBMS (queries, stored procedures, functions, triggers).
• ETL development using SSIS.
• SSAS data design and modeling (Multidimensional - MDX, Tabular - DAX) with Row level data security.
• On-premises data warehouses, particularly Oracle.
• SQL query optimization and performance tuning.
• AWS Cloud services (Athena, Airflow) and Git Source Control.
• Root cause analysis with cross-functional divisions.
• Data visualization tools such as Power BI.
• Web Methods systems integration.
• EDI ANSI X12 standards.
• IDMS, VSAM Network data sets.
• Cloud data lakes (e.g., Databricks).
• Spark and event streaming (e.g., Kafka).
• Data governance principles.
• Data quality management.