Data & Analytics Manager
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Job Location:
Wheat Ridge, CO - USA
Yearly Salary:
$ 135000 - 165000
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job Summary:
We are seeking a Process Engineer to support the development of innovative technologies for rare earth recovery and purification from both primary and secondary feedstocks. This role will contribute to research and development activities pilot plant operations and process scale-up efforts. The ideal candidate will combine strong technical expertise with hands-on experience in process design and implementation.
Key Responsibilities:
Data Centralization & Governance
- Stand up and own a single-source-of-truth drill-hole and resource database. Load and fully validate all historic and new drilling data.
- Build a parallel metallurgical / process test-work database.
- Implement QA/QC workflows version control and audit trails acceptable to S-K 1300 QPs.
Analytics & Dashboard Acceleration
- Create Power BI or Spotfire dashboards for: Resource and grade control readiness as well as processing pilot and demo campaigns.
- Perform statistical analyses to help technical staff answer key questions
PFS/FS & Project Delivery Support
- Generate data packs for the EPCM and external QP every month.
- Support resource classification upgrade arguments with robust statistics and visuals.
- Enable real-time reconciliation once the demonstration plant comes online.
Qualifications
- Bachelors or Masters degree in Engineering Data Science Geostatistics or a related field.
- 510 years of experience in the resource industry including at least 3 years managing drill-hole or metallurgical databases.
- Proficiency in SQL and Python with the ability to develop clean reusable scripts for data quality control and analysis.
- Demonstrated expertise in data visualization tools such as Power BI Spotfire or Tableau.
- Strong applied statistics background.
- Effective communicator capable of translating needs across geology metallurgy and management teams.
- Proven ability to work in a fast-paced lean pre-production environment.
- Able to partner with technical and project leads to determine data and reporting requirements.
Preferred Qualifications
- Experience supporting NI 43-101 / JORC / S-K 1300 resource reports or PEA/PFS/FS studies (ideally with a QP or major/minor mining company).
- Familiarity with machine-learning applications in mining/metallurgy (recovery prediction domain clustering).
- Experience integrating geophysical data or mineralogy outputs.
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Specific vision abilities required by this job include close vision and distance vision. While performing the duties of this Job the employeeis regularly required towalk stand move sit carry bend kneel reach push pull lift use hands and fingers handle orfeel and talkand hear. May berequiredto lift and move boxes or packages notexceeding 20 pounds in weight. Some work stress inherent to the position and extended work hours may berequired.
Work Environment:
The work environment will be a mix of a typical office environment laboratory space manufacturing floor and construction site.
Noise level:
Exposure will vary and include normal office noise typical laboratory sounds (e.g. ventilation systems equipment operation) manufacturing floor noise (e.g. machinery forklifts) and construction site noise depending on project phase and location.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities duties skills required of personnel so classified. The reporting relationship may not reflect the most recent changes to the corporate reporting structure.
USA Rare Earth proudly supports Equal Employment Opportunities
USA Rare Earths policy is to provide equal employment opportunities to all applicants and will provide reasonable accommodations according to applicable federal state and/or local laws.
For assistance applying for employment through this site due to disability please contact Human Resources to discuss reasonable accommodations.
Required Experience:
Manager
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
Who we are: We are on a mission to become a leading supplier of critical materials that enable the green energy and technology revolution. Our materials and technologies are required for the electric vehicle, green energy, consumer electronics, and defense industries, and our battery ... View more
