Data Product Analyst Scope: The Data Product Analyst - Intermediate will primarily support the Digital Regulatory Assurance System (DRAS) program, where high quality, timely analytics are essential ...
Quick apply
Data Product Analyst Scope: The Data Product Analyst - Intermediate will primarily support the Digital Regulatory Assurance System (DRAS) program, where high quality, timely analytics are essential ...
Regional Store Administrator - Remote
Edmonton, AB · Remote
CA$24.67/hr
As a Regional Store Administrator (Remote) , you'll support inventory administration across ... Analytical mindset with the ability to identify issues, investigate root causes, and recommend ...
New
Regional Store Administrator - Remote
Edmonton, AB · Remote
CA$24.67/hr
As a Regional Store Administrator (Remote) , you'll support inventory administration across ... Analytical mindset with the ability to identify issues, investigate root causes, and recommend ...
New
Data Architect
Edmonton, AB · Remote
... and inventory. * Analyze, design, and support implementation for complex service requests ... Work arrangement: Remote first * Occasional travel to Edmonton, Calgary, or Red Deer may be ...
Data Architect
Edmonton, AB · Remote
... and inventory. * Analyze, design, and support implementation for complex service requests ... Work arrangement: Remote first * Occasional travel to Edmonton, Calgary, or Red Deer may be ...
Remote Inventory Analyst information
What is a Remote Inventory Analyst job?
A Remote Inventory Analyst is responsible for monitoring, managing, and optimizing inventory levels for a company while working remotely. They analyze inventory data, forecast demand, and coordinate with suppliers to ensure stock availability while minimizing excess inventory. Their role often involves using inventory management software, generating reports, and collaborating with different teams to improve supply chain efficiency. This position requires strong analytical skills, attention to detail, and the ability to work independently.
What are the key skills and qualifications needed to thrive in the Remote Inventory Analyst position, and why are they important?
To thrive as a Remote Inventory Analyst, you need strong analytical abilities, attention to detail, and a degree in business, supply chain, or a related field. Familiarity with inventory management systems such as SAP, Oracle, or NetSuite, along with proficiency in Excel and data visualization tools, is highly valuable. Excellent organizational skills, proactive communication, and self-motivation are important soft skills for excelling in a remote environment. These competencies ensure accurate inventory tracking, seamless collaboration with cross-functional teams, and effective problem-solving while working independently.
What are the typical daily responsibilities of a Remote Inventory Analyst?
As a Remote Inventory Analyst, your typical day involves monitoring inventory levels, analyzing trends and usage data, and preparing regular reports to optimize stock and minimize shortages or overages. You will use inventory management software to reconcile discrepancies, coordinate with suppliers and internal teams, and assist in forecasting demand. Communication often occurs via email, video calls, and collaborative project tools, requiring comfort with remote workflows. Your role is crucial in maintaining efficient operations and supporting strategic decision-making, even while working from a home-based setting.
What are the most commonly searched types of Inventory Analyst jobs in Edmonton, AB? The most popular types of Inventory Analyst jobs in Edmonton, AB are:
What cities near Edmonton, AB are hiring for Remote Inventory Analyst jobs? Cities near Edmonton, AB with the most Remote Inventory Analyst job openings:
Full-time
Re-posted 29 days ago
Job description
Project Name:
Digital Regulatory Assurance System
Job Title: Data Product Analyst
Scope:
The Data Product Analyst – Intermediate will primarily support the Digital Regulatory Assurance System (DRAS) program, where high quality, timely analytics are essential to regulatory and compliance functions. As data and analytics maturity increases, the role may be expanded to support additional enterprise data initiatives.
Modernization initiatives across the Government of Alberta are fundamentally changing how ministry users collect, manage, analyze, and use data as legacy systems are transformed into modern Data Management and Geospatial Platforms. This shift requires dedicated analytical capacity to ensure that the value of modernized data assets is fully realized.
DRAS is a Government of Alberta regulatory transformation initiative led by Environment and Protected Areas (EPA) to modernize, digitize, and streamline environmental and natural resource regulatory processes. DRAS supports the full regulatory lifecycle, from application and authorization to monitoring, compliance, remediation, and closure through a single, consolidated digital platform
As DRAS development continues, the volume, variety, and complexity of structured data continue to grow, creating a sustained need for dedicated data engineering and data product expertise. The Data Product Analyst role is critical to ensuring that modernization delivers tangible business value. This role will design, build, and operate reliable data pipelines that ingest and integrate data into the DMP, apply standardized transformations, enforce data quality and governance controls, and produce trusted, analytics‑ready datasets that support regulatory oversight, compliance monitoring, and evidence‑based decision‑making aligned with DRAS objectives.
Duties:
Design and implement scalable, secure, and high-performance data architecture on Microsoft Azure, supporting both cloud-native and hybrid environments.
Lead the development of data ingestion, transformation, and integration pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
Work with the Data Architect and manage data lakes and structured storage solutions using Azure Data Lake Storage Gen2, ensuring efficient access and governance.
Integrate data from diverse source systems including ServiceNow, and geospatial systems, using APIs, connectors, and custom scripts.
Develop and maintain robust data models and semantic layers to support operational reporting, analytics, and machine learning use cases.
Build and optimize data workflows using Python and SQL for data cleansing, enrichment, and advanced analytics within Azure Databricks.
Design and expose secure data services and APIs using Azure API Management for downstream systems.
Implement data governance practices, including metadata management, data classification, and lineage tracking.
Ensure compliance with privacy and regulatory standards (e.g., FOIP, GDPR) through role-based access controls, encryption, and data masking.
Monitor and troubleshoot data pipelines and integrations, ensuring reliability, scalability, and performance across the platform.
Utilize AI and automation tools to streamline data engineering workflows, including pipeline development, testing, monitoring, and documentation.
Leverage AI-assisted tools for code generation, optimization, and review to improve development efficiency and code quality.
Design and curate standardized, high‑quality datasets that are suitable for advanced analytics and future AI use cases.