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Data Modernization Jobs in Alberta (NOW HIRING)

Data Modernization & AI Projects * Support data platform modernization initiatives. * Help clients identify and prioritize analytics and AI use cases. * Contribute to business cases and roadmap ...

Define target-state cloud architectures (multi-cloud / hybrid), including application, data, infrastructure, security, and integration domains. * Lead legacy modernization strategies , including re ...

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Data Modernization information

What are the key skills and qualifications needed to thrive in data modernization?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

What are some common challenges faced by professionals working in data modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are popular job titles related to Data Modernization jobs in Alberta?

For Data Modernization jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Data Modernization jobs in Alberta look for?

The top searched job categories for Data Modernization jobs in Alberta are:

Infographic showing various Data Modernization job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Business Analyst

Calgary, AB โ€ข On-site

Contractor

Re-posted 22 days ago


Job description

Data Elephant is one of Canada's leading Data, Analytics & AI consulting firms, helping organizations modernize their data platforms, unlock business value from data, and accelerate AI adoption.


We partner with industry-leading technologies including AWS, Databricks, and Microsoft to deliver pragmatic, business-focused solutions.



Data Elephant is seeking a Senior Business Analyst to join our growing consulting team. This role is ideal for an experienced BA who thrives at the intersection of business strategy, process improvement, data, analytics, and technology.


You will work directly with client stakeholders, project teams, data engineers, architects, and analytics specialists to define business requirements, map business processes, improve data quality, and support the delivery of modern analytics and AI solutions.

This is a highly consultative role requiring strong communication skills, business acumen, and the ability to translate complex business needs into actionable requirements for technical teams.


Business Analysis & Stakeholder Engagement

  • Lead discovery workshops and stakeholder interviews.
  • Elicit, document, and validate business requirements.
  • Translate business objectives into functional and non-functional requirements.
  • Facilitate alignment between business and technical teams.
  • Support solution design and implementation activities throughout the project lifecycle.


Process Analysis & Process Mapping

  • Document current-state and future-state business processes.
  • Identify inefficiencies, bottlenecks, and improvement opportunities.
  • Facilitate business process optimization initiatives.
  • Create process maps, workflows, user journeys, and business capability models.


Data & Analytics

  • Gather and document data, reporting, analytics and ML/AI requirements.
  • Assess data quality issues and support data governance initiatives.
  • Define KPIs, business metrics, and reporting requirements.
  • Collaborate with technical teams to ensure analytics solutions align with business needs.
  • Support user acceptance testing and solution validation.


Data Modernization & AI Projects

  • Support data platform modernization initiatives.
  • Help clients identify and prioritize analytics and AI use cases.
  • Contribute to business cases and roadmap development.
  • Assist with change management and user adoption activities.


Required Experience

  • 6+ years of Business Analysis experience.
  • Proven experience leading requirements gathering and stakeholder engagement activities.
  • Strong process mapping and business process improvement experience.
  • Experience working on data, analytics, reporting, or data modernization projects.
  • Strong understanding of data quality concepts and challenges.
  • Experience defining KPIs, business metrics, and reporting requirements.
  • Excellent communication, facilitation, and documentation skills.
  • Ability to manage multiple stakeholders and priorities in a consulting environment.



Experience in one or more of the following industries is highly desirable:

  • Energy, Mining, Construction or Utilities
  • Experience across Finance, Supply Chain, Commercial Trading/Energy trading an asset
  • Experience working with reporting and BI tools including Genie, AI/BI, PowerBI and Tableau an asset


You are someone who:

  • Asks great business questions before proposing solutions.
  • Can quickly understand complex business processes and data flows.
  • Bridges the gap between executives, business users, and technical teams.
  • Is passionate about helping organizations become more data-driven.
  • Thrives in a fast-paced consulting environment.
  • Enjoys solving complex business and data challenges.


Why Work with Us?

  • Work on impactful data, analytics, and AI projects across Canada's most important industries.
  • Collaborate with experienced consultants, architects, and data specialists.
  • Gain exposure to leading cloud and data platforms including Databricks, AWS, and Microsoft.
  • Flexible work environment.
  • Opportunity to grow your career in one of Canada's fastest-growing data and AI consulting firms.