*Senior Data Analyst

Recrute Action
Montréal, QC, ca
$60-$70 an hour
Full-time
Temporary
We are sorry. The job offer you are looking for is no longer available.

Senior Data Analyst

We are seeking a data-driven Senior Data Analyst with strong Excel skills and a passion for data excellence to join our client in the mining and metal industry based in Montreal.

This in-office role requires 2-3 days per week of onsite presence. The ideal candidate will support the Data Master team in optimizing data processes and ensuring data accuracy, utilizing their expertise in Microsoft Excel, SAP, and sparesFinder tools.

What is in it for you :

  • Hourly salary of $60 to $70, based on experience.
  • 6-month contract.
  • Full-time position : 40 hours per week.
  • Hybrid work : 2-3 days per week in-office required.
  • Opportunity to work in a dynamic and professional environment.
  • Join a passionate and inclusive team of professionals.

Responsibilities :

  • Utilize SAP (RTBS), Excel, and sparesFinder tools for data collection and analysis.
  • Audit, test, and document current and upcoming functionalities of material master management in sparesFinder.
  • Troubleshoot and record end-user issues with sparesFinder.
  • Conduct data exploration and analysis to identify actionable insights for data cleansing and standardization activities, improving overall data quality.
  • Implement quality assurance procedures to identify and rectify discrepancies within the data, ensuring adherence to established standards.
  • Contribute to the ongoing maintenance and optimization of the material master catalog through regular data updates.
  • Collaborate with the Material Master team for issue resolution to drive standardization and best practices.

What you will need to succeed :

  • Strong proficiency in Microsoft Excel for complex data manipulation, analysis, and reporting; experience with macro-coding, RegEx, and SQL for data automation is a strong advantage.
  • Solid understanding of SAP procurement and data modules, with the ability to navigate and extract information efficiently.
  • Exceptional organizational skills with meticulous attention to detail and a systematic approach to ensure data accuracy and integrity.
  • Strong analytical problem-solving skills, resourcefulness, and the ability to identify and resolve data discrepancies.
  • Ability to prioritize effectively, balancing accuracy with speed in a fast-paced environment.
  • Flexibility and eagerness to learn new processes and technologies.
  • Bilingual communication skills in French and English are required; proficiency in Spanish is a valuable asset.

Why Recruit Action?

Recruit Action (agency permit : AP-2000003) provides recruitment services through quality support and a personalized approach to job seekers and businesses.

Only candidates who match hiring criteria will be contacted.

RIOJP00023766

20 days ago
Related jobs
Promoted
Financial Resilience Institute
Canada

We are looking for an experienced Senior Data Analyst and Consultant to join our growing team. You will be responsible for leading advanced insight work by applying expertise in data modeling (including data cleansing, standardization, and definition to ensure study variables are suitable for analys...

Recrute Action
Montreal, Quebec

Weare seeking a datadriven Senior Data Analyst with strong Excelskills and a passion for data excellence to join our client in themining and metal industry based in Montreal. The ideal candidatewill support the Data Master team in optimizing data processes andensuring data accuracy utilizing their e...

Stay22
Montreal, Quebec

We are looking for a Senior Data Analyst to join our Data Squad and support our Staff Data Engineer in building the data pipeline we need to provide Business Intelligence to all departments at Stay22. Job Title: Senior Data Analyst, Data Squad. Facilitate cross-team collaboration between Data Squad ...

Autodesk
Montreal, Quebec

As a Senior Data Analyst in the Innovation and Lifecycle Marketing (ILM) organization, you will join an agile group leading the development of growth strategies across Autodesk, including product-led growth (PLG). Improve the implementation of data governance and data quality programs to ensure accu...

S.i. Systems
Montreal, Quebec

Senior Business Analyst (10+ Years) to elicit requirements from internal stakeholders for the development of a data management framework and reporting solution. The team is looking to develop a data management framework that will allow them to easily store, organize, analyze, and prepare reports for...

BDC
Montreal, Quebec

The Senior Analyst creates and implements models to present simulations, analyses and other reports related to real estate information and occupancy data, while ensuring data integrity. Define internal data requirements so they remain in line with the strategic goals of the Real Estate and Facilitie...

NBC
Montreal, Quebec

A career as a Senior Data Analyst in. As a Senior Analyst, you will conduct analysis and make. In this position, you will report directly to the Senior Director, joining a team of seasoned experts on both the business and data sides. Business intelligence and data. ...

PlayStation
Canada
Remote

As a Senior Game Data Analyst, you will be working in our cross-disciplinary team to help game studios use data efficiently to improve games. We provide end-to-end analytics services for PlayStation Studios and use data to help them make their amazing games even better. Analysing data to deliver hig...

Godspeed Workforce
Montreal, Quebec

DataCatalog Leadership: Lead the management of the organizations datacatalog ensuring efficient data discoverability data quality andcompliance with data governance standards within the financialsector. Data Quality Management: Develop andenforce rigorous data quality frameworks collaborating with d...

TradingScreen
Montreal, Quebec

A Senior Financial Data Analyst leverages and manages data that is consumed by the world’s most elite financial institutions by applying structured thinking and leveraging technology. The scope ranges across the full data lifecycle, from acquisition, normalization, consolidation, validation, remedia...