indeed
Analytics Data Specialist
Home Hardware Stores
St. Jacobs, CAN
Full-time
Onsite
$85,800–$128,600
Discovered 3 weeks ago
Microsoft FabricAzureAzure SynapseAzure SQLPySparkSQL
Role Overview
The Analytics Data Specialist delivers enterprise data products that turn raw data into trusted insights and enable scalable analytics.
The role supports enterprise reporting and decision-making through scalable data solutions and collaboration with analytics teams.
Key Skills for This Role
Microsoft FabricAzureAzure SynapseAzure SQLPySparkSQL
Full Job Posting
Role overview
The Analytics Data Specialist delivers enterprise data products that turn raw data into trusted insights and enable scalable analytics.
The role supports enterprise reporting and decision-making through scalable data solutions and collaboration with analytics teams.
Data products and architecture
- Design, build, and maintain business-ready data products in Microsoft Fabric and Azure.
- Develop and maintain Lakehouse and Warehouse architectures and structured data layers for enterprise analytics.
- Design and optimize business-aligned semantic models for consistent reporting and analytics.
Pipelines, quality, and governance
- Develop automated pipelines and integrated workflows using Fabric Data Factory, notebooks, and Azure services.
- Standardize data transformations and curation for analytics consumption.
- Maintain data quality, integrity, and reliability through validation, monitoring, and cleansing.
- Support governance and master data management practices by applying standards and tracking lineage.
Qualifications and experience
- Bachelor's degree in Data Science, Data Analytics, Data Engineering, or a related field; additional analytics certifications are an asset.
- At least five years of experience in data analytics, data engineering, or a related analytics role.
- Strong experience with Microsoft Fabric, Azure Synapse, Azure SQL, PySpark, SQL, Python, and R.
- Experience with SQL Server, PowerShell, SSIS, ETL/ELT, Azure DevOps, and GitHub.
- Understanding of medallion, dimensional, and semantic data models and data governance.
- Experience delivering end-to-end analytics from ingestion and transformation through semantic modeling and Power BI reporting.
Additional qualifications
- Strong analytical, problem-solving, communication, and cross-functional collaboration skills; ability to diagnose distributed-platform issues.
- Ability to manage priorities and deadlines, adapt, and interact confidently with senior leaders.
- Data mining, predictive analytics, machine learning, and Scrum or Kanban experience are assets.
- Able to work onsite three days a week at the St. Jacobs corporate office as part of the hybrid model.
Work arrangement
- Hybrid working model with three onsite days per week at the corporate office in St. Jacobs.
Compensation and benefits
- Expected starting salary range is $85,800–$128,600; final offer reflects relevant skills and experience.
- Eligible for an annual bonus program, comprehensive benefits, pension and group RRSP, retail and insurance discounts, vacation, personal and sick time, and WorkPerks.
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