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Data Innovation & Development Specialist

Job in Gogama, Timmins, Ontario, Canada
Listing for: IAMGOLD Corporation
Full Time position
Listed on 2026-09-23
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Warehousing, Business Intelligence
Salary/Wage Range or Industry Benchmark: 89000 - 134000 CAD Yearly CAD 89000.00 134000.00 YEAR
Job Description & How to Apply Below
Position: Data Innovation & Development Specialist- EN
Location: Gogama

Description

We are IAMGOLD. Innovative, Accountable Mining.

We are IAMGOLD. Innovative, Accountable Mining.

IAMGOLD is a Canadian-based gold mining company with operations and development projects across North America and West Africa. With flagship operations such as the Cote Gold Mine in Ontario - one of Canada's largest and most technologically advanced gold mines, we're not just mining gold; we're shaping the future of mining.

We believe mining can be different. By combining innovation with a strong commitment to sustainability and accountability, we create lasting value for our people and the communities where we operate. At IAMGOLD, when we engage, empower, and support each other, we create extraordinary outcomes - delivering value for our people, partners, and stakeholders while building stronger, more resilient communities.

At Cote Gold, we're leading the way in modern mining. With an 18+ year mine life, Cote Gold will inject C $5billion in wages into the economy and create lasting benefits for the region. Over 600 full-time jobs and strong partnerships with Mattagami and Flying Post First Nations mean you'll be part of something bigger - building prosperity and progress for generations.

Industry leaders call us "a model for modern mining and sustainability", and you can help write the next chapter.

Want to Learn More About IAMGOLD?
  • Check out the IAMGOLD Blog
  • Read about our Cote Gold
About

The Role

We are currently seeking a Data Innovation & Development Specialist to support the mine and mill’s operational data and reporting ecosystem—maintaining reliable datasets and dashboards (PI Vision, Power BI) and deliver practical analytics and automation within site governance. This role focuses on data and reporting software (not PI tag/asset configuration).

This role is based at the Cote Gold Mine Site reporting to the IT OT Superintendent.

Responsibilities
  • Sustain mill reporting data layers and dashboards to deliver trusted, timely operational insights.
  • Maintain reporting databases and data access layers (e.g., SQL, PI) that feed standard KPI reporting.
  • Develop and support queries, views, procedures, and refresh schedules to ensure consistent, performant datasets.
  • Troubleshoot and reconcile data quality issues end-to-end with IT/OT and site SMEs.
  • Maintain and enhance PI Vision and Power BI dashboards (visuals, measures, filters, access) and support user adoption.
  • Apply governance practices for reporting services, including testing, release/rollback, KPI definitions, data dictionaries, and audit-ready lineage.
  • Monitor and respond to data/report outages, manage access in line with cybersecurity/data classification, and coordinate fixes with vendors as required.
  • Build and support small, governed analytics and automation in Microsoft Fabric (dataflows/pipelines/notebooks), including light production support and controlled changes for mining system reporting integrations.
Job Qualifications Key Skills & Knowledge
  • Post-secondary degree or diploma in Information Technology, Computer Science, Data/Analytics, Engineering, or a related discipline (or equivalent experience).
  • Post-graduate qualification or certifications in data platforms, database administration, business intelligence, or reporting tools is desirable.
  • Relevant vendor or industry certifications (e.g., Microsoft data/BI, SQL, AVEVA PI/PI Vision) and participation in technical communities are considered an asset.
Relevant Experience
  • At least 3 years of experience in a similar role.
  • Experience supporting operational data systems in an industrial environment (e.g., processing plant/mill), including reporting databases, historian data access, and front-end dashboards/reports (PI Vision, Power BI, or similar).
  • Working knowledge of SQL and relational…
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