Business Intelligence Engineer

Job location:
Roswell, Georgia, USA
Created moment:
March 15, 2022
Job reference:
REQ - 05576

The Company

The world leader in mineral-based specialty solutions for industry, with over 16,000 employees and over 200 sites worldwide, Imerys delivers high value-added, functional solutions to diversified set of industrial sectors, from processing industries to consumer goods. The Group draws on its knowledge of applications, technological expertise and its material science know-how to deliver solutions based on beneficiation of its mineral resources, synthetic minerals and formulations. These contribute essential properties to customers’ products and performance, including refractoriness, hardness, conductivity, opacity, durability, purity, lightness, filtration, absorption and repellency. Imerys is determined to develop responsibly, in particular by fostering the emergence of environmentally-friendly products and processes.

If you want to grow your skills and develop your career, find out more at

The Position

Business Intelligence Engineer

Job Summary

Imerys, leader in mining and manufacturing industrial minerals, has an immediate opportunity for a Business Intelligence Engineer based at our N America headquarters in Roswell, GA.

Responsibilities include:

  • Build key data sets to empower operational and exploratory analysis. Data integration, build, improve and support analysis models

  • Automate and streamline data analysis where feasible

  • Understand and define data and analysis requirements for reporting and operational needs

  • Provide guidance and develop data standards and reporting best practices

  • Maintain and support reports and production dashboards in support of plant operations

  • Explore and examine data from a variety of angles using appropriate profiling techniques to understand the data and determine hidden weaknesses, trends, and/or opportunities

  • Assist in the evaluation of tools for doing visual and quantitative analysis, tools and techniques for deploying predictive and prescriptive solutions

  • Provide support in breaking down business problems into solvable components by assessing the requirements and/or business implications to arrive at recommended solutions with input from Industrial Support (IS) and other Imerys functions as needed

  • Track the latest data analysis and data mining technology and results

  • Help develop and deliver the data infrastructure required to support needs of predictive modeling and analytics 

  • Help execute the development of new concepts and proof of concept designs

  • Utilize a multidisciplinary approach to Data Analytic problems combining technical expertise with analytics and business knowledge

  • Appropriately evaluate and tune models to insure business objectives are achieved

  • Manipulate and analyze complex data from varying sources and recommend ways to apply the data in collaborations with relevant IS functions

  • Present and communicate complex analytical data and results to varying audiences with a keen understanding of the needs of the audience

  • Oversight of and interface with IT/OT development and support efforts

  • Evaluation and application of technology options

  • Refine and optimize the implemented data processing methods to provide more accurate results or remove inefficiencies

  • Drive continuous improvements of the developed methods

  • Prototype, program and help shape the next generation of systems that lets users access data, services and data models seamlessly

  • Build a scalable system of various services including data access, data cataloging, search and discovery, data transformation

  • Lead the development of innovative, nonstandard approaches for knowledge discovery and parametric trending of structured and unstructured data and analysis to support business needs

  • Work as part of an agile development team of Industrial Support SME’s and engineers

  • Create System Functional Design Specifications & manage all system interfaces

  • Lead project-specific algorithm development as business needs arise

  • Support development and calibration activities for all data analytics applications

Education/Experience Requirements:

  • BS in Business, Engineering, Statistics, Mathematics or Technical Discipline with relevant experience

  • Successful US-based candidates must be fully vaccinated for Covid-19 before the employment start date unless exempted by applicable law.

  • Minimum of 3 years of experience in data analysis and tools such as data mining, OLAP, ETL, data modeling, REST APIs,  machine learning, AI application and modeling, and complex SQL queries. 

  • Experience planning and developing either business and IT/OT initiatives 

  • Ability to produce high quality documentation of business and system requirements, system design, data architecture, and training materials

  • Ability to apply data architectural principles to business solutions

  • Excellent communication skills across multiple organizational levels and the ability to build relationships

  • Collaborative, open approach with ability to work both independently and as part of a team 

  • +1 year of experience in Data Visualization / analytics  tools such as Google data studio, SAP Business Objects, Crystal reports, etc.. 

  • Experience modeling Industrial process data and developing reports and Dashboards for Industrial environments. 

  • Experience working with Data Warehouses, including Analysis cubes functionality such as aggregations, measures, dimensions and bridges

  • Willing to travel throughout North America up to 30% of the time.

Position Type

Full time



Only technical issues will be monitored through the below inbox:


To ensure fairness and legal compliance in our recruitment processes, only applications received through the online application process will be considered. 

IMERYS is an Affirmative Action and Equal Opportunity Employer and it is our policy to not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, marital status, sexual orientation, gender identity, genetic information, disability, veteran status, or any other status protected by federal, state or local laws.