Business Intelligence Analyst

Requisition Number: 61051

 

Corning is vital to progress – in the industries we help shape and in the world we share.

We invent life-changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and lives.

Our sustained investment in research, development, and invention means we’re always ready to solve the toughest challenges alongside our customers. 

Corning’s businesses are ever evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, and automotive markets. We are changing the world with: 

• Trusted products that accelerate drug discovery, development, and delivery to save lives
• Damage-resistant cover glass to enhance the devices that keep us connected
• Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of life
• Precision glass for advanced displays to deliver richer experiences 
• Auto glass and ceramics to drive cleaner, safer, and smarter transportation 

 

 

Scope of Position:

The Business Intelligence Analyst will be responsible for the definition, development, reporting and communication of data insights and key metrics to better serve our customers, both internal and external. You will be joining an exciting, newly formed analytics center of excellence for the Corning Life Science division. Our mission is to add value to the business by utilizing our expertise in data analysis, data engineering, statistics, and machine learning to identify and address the biggest opportunities to grow our $1B+ business. This position is located in our Tewksbury, MA office with hybrid on-site/remote schedule available.

 

THIS IS A FULL TIME ROLE, NO CONTRACT WORK AND ONSITE 3 DAYS/REMOTE 2 DAYS

 

Day to Day Responsibilities:

• Drive the design, development, and maintenance of metrics, reports, and analyses to drive critical business decisions

• Propose and implement new metrics, analysis techniques, and strategies to improve business performance and better serve our customers

• Define the data elements and data structure required to enable reporting

• Contribute to operational best practices for business reporting to allow the team to scale

• Prepare and deliver analyses and insight reviews to senior leadership

• Work with IT, the data warehouse, external data partners, and self-developed databases to enable the appropriate capture, storage, data visualization and analysis of key data elements

• Enable effective decision making by identifying, retrieving, and aggregating data from multiple sources and compiling it into a digestible and actionable structure and format

Required Education and Years of Experience:

• Bachelor's degree in Computer Science, Business Administration, Engineering, Operations Research, Math, Finance, or related discipline

• 5+ years’ experience in data, analytics, and/or business intelligence

• 3+ years’ experience with SQL or other similar relational database query language

Required Skills:

• Experience with data visualization and tools such as PowerBI, Tableau, or similar

• Demonstrated understanding of data warehousing and data modeling concepts

• Demonstrated ability to work effectively cross-functionally with IT, data subject matter experts, Data Engineers, and other Analysts to mine the right data sources efficiently and accurately

• Demonstrated independent and creative problem solving

• Experience displaying complex quantitative data in a simple, intuitive format and presenting findings clearly and concisely

• Experience working directly with business stakeholders to translate between data and business needs

• Excellent organizational skills including prioritization of multiple concurrent projects while still delivering timely and accurate results

Desired Experience / Qualifications / Skills:

• Master's degree in Business Administration, Mathematics, Statistics, Economics, or another quantitative field

• Experience with scripting languages such as Python, R, etc.

• Experience with data generated by SAP and/or working with SAP products

• Ability to pay close attention to detail in a fast-paced environment

• Ability to break down complex problems into smaller deliverables that add value