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Title:  Lead Business Intelligence Analyst

Requisition ID:  106452

Phoenix, AZ, US, 85004-2121

Category:  Information Systems

Freeport-McMoRan is a leading international mining company with headquarters in Phoenix, Arizona. We operate large, long-lived, geographically diverse assets with significant proven and probable reserves of copper, gold, and molybdenum. The company has a dynamic portfolio of operating, expansion and growth projects in the copper industry. Freeport-McMoRan is one of the world’s largest publicly traded copper producers, the world’s largest producer of molybdenum and a significant gold producer. We have a long and successful history of conducting our business in a safe, highly efficient and socially-responsible manner. We have the assets, the talent, the drive and the financial strength to provide attractive and rewarding careers of our employees. We encourage you to take the time to explore the opportunity to advance your career at Freeport-McMoRan.

We have the assets, the talent, the drive and the financial strength to provide attractive and rewarding careers of our employees. We encourage you to take the time to explore the opportunity to advance your career at Freeport-McMoRan.

Please note: This position has the possibility of working remotely within 150 miles of Phoenix, Arizona for a percentage of the scheduled work time, as determined by the supervisor. If hired, you will be required to comply with Freeport-McMoRan’s requirement of all employees who are working or attending a meeting onsite at a corporate office location, to submit proof that they are fully vaccinated against COVID-19 prior to entry, unless the company has granted them a medical or religious accommodation.


The Freeport Business Intelligence team is passionate about delivering compelling data stories that drive insights to the right people at the right time. As a Business Intelligence Leader, you own all aspects of the Freeport Business Intelligence strategy and tactical execution. You will work to grow and lead the global BI team, collaborate with key stakeholders to build the team’s roadmap, and drive projects to develop engaging reports, dashboards, and data analytic services that deliver insights across multiple business domains.

  • Leadership: Develop and lead a global team of Business Intelligence and Data Analysts in collaboration with Data Science, Data Warehousing, and Data Engineering to design, develop, deploy, and monitor enterprise business intelligence tools. Cultivate a generative culture that values customer centric continuous improvement through experimentation and self-guided learning. Ensure agile teams are properly staffed to deliver on time by defining clear development patterns and architectural guidelines, maintaining a roadmap for execution, and actively secure its implementation through the scrum process
  • Team Development and Coaching: Act as a positive coach/mentor for the broader organization, developing an understanding of data visualization patterns and data driven business analytic approaches that create scalable, maintainable, well-designed solutions. Acts as a facilitator of complex technical topics that require cross-functional consultation
  • Architecture: Relentlessly identify and remove friction in the business intelligence development lifecycle to improve team member experience and increase the quality of insights. Influence, develop, and sustain large-scale business intelligence architecture required for increasing the transparency of key insights as well as continuously learn and apply new skills by staying abreast of the broader business intelligence industry
  • Work in cross-functional, geographically distributed agile teams of highly skilled data engineers, software engineers, data scientists, designers, engagement managers, and others to continuously innovate business intelligence solutions
    • Independently execute and review others business intelligence work product to ensure quality and business applicability
    • Develop, review, and secure documentation of data lineage, key metrics, and functional documentation to create broad awareness of the enterprise business intelligence assets and their application
    • Actively champion and apply best practices in data visualization, user centric interface design, data storytelling, and business intelligence architecture
    • Coordinate with other teams to apply optimal patterns for business intelligence solutions
  • Perform other duties as requested


Minimum Requirements:

  • Bachelor’s degree and eight (8) years of relevant work experience including three (3) years of project management/leadership experience
  • Master’s degree or PhD and five (5) years of relevant work experience including two (2) years of project management/leadership experience
  • Experience in at least two areas:
    • Expert Practitioner of designing, developing, and deploying Business Intelligence tools (i.e. Power BI, SAP Business Objects, etc.)
    • Expert Practitioner of SQL with experience designing high quality, production SQL queries and views
    • Expert Practitioner of Python development with experience designing high quality, production Python codebases
    • Expert Practitioner of hypothesis-based problem solving
    • Expert Practitioner of data modeling
  • Experience influencing and building mindshare convincingly with any audience. Confident and experienced in public speaking to large audiences


Preferred Qualifications:

  • Working knowledge of Distributed Parallel Processing Environments such as Spark or Snowflake
  • Working knowledge of problem solving/root cause analysis on Production workloads
  • Working knowledge of Agile, Scrum, and Kanban
  • Working knowledge of workflow orchestration using tools such as Airflow, Prefect, Dagster, or similar tooling
  • Working knowledge with CI/CD and automation tools like Jenkins or Azure DevOps
  • Strong verbal and written skills in English language.



  • Must be able to frequently sit, stand and walk.
  • Must be able to frequently lift and carry up to 10 pounds.
  • Ability to work for hours at a time in front of a computer and keyboard utilizing Microsoft desktop tools.
  • Travel estimated to be 15% annually.
  • Personal protective equipment is required when performing work in a mine, outdoor, manufacturing or plant environment, including hard hat, hearing protection, safety glasses, safety footwear, and as needed, respirator, rubber steel-toe boots, protective clothing, gloves and any other protective equipment as required.
  • Freeport-McMoRan promotes a drug/alcohol free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing.

Freeport-McMoRan has reviewed the jobs at its various office and operating sites and determined that many of these jobs require employees to perform essential job functions that pose a direct threat to the safety or health of the employees performing these tasks or others.  Accordingly, the Company has designated the following positions as safety-sensitive:

  • Site-based positions, or positions which require unescorted access to site-based operational areas, which are held by employees who are required to receive MSHA, OSHA, DOT, HAZWOPER and/or Hazard Recognition Training; or
  • Positions which are held by employees who operate equipment, machinery or motor vehicles in furtherance of performing the essential functions of their job duties, including operating motor vehicles while on Company business or travel (for this purpose "motor vehicles" includes Company owned or leased motor vehicles and personal vehicles used by employees in furtherance of Company business or while on Company travel); or
  • Positions which Freeport-McMoRan has designated as safety sensitive positions in the applicable job or position description and which upon further review continue to be designated as safety-sensitive based on an individualized assessment of the actual duties performed by a specifically identified employee.

Equal Opportunity Employer/Protected Veteran/Disability

Job Segment: Business Intelligence, Project Manager, Testing, Data Warehouse, Information Systems, Technology

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