Business Analyst - Data & AI

Data ElephantCalgary, AB
Hybrid

About The Position

Data Elephant is seeking a Senior Business Analyst to join their 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. The Business Analyst 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.

Requirements

  • 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.

Nice To Haves

  • 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

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.

Benefits

  • Flexible work environment.
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