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Intelligence Analytics Engineer

Xplore Inc.
Calgary, CAN
Full Time
Senior
Hybrid
1 weeks ago
DatabricksSQLData AnalysisBusiness IntelligenceCustomer IntelligenceAI Tools
Free

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Position Overview

  • We are building an AI Enabled Customer Intelligence & Analytics Centre of Excellence (COE) focused on transforming analytics from traditional reporting into a strategic decision engine for the Customer Office.
  • The role combines Customer Intelligence, Advanced Analytics, AI & Agentic Intelligence, Databricks Application Development, Dashboard Design, Executive Storytelling, and Business Problem Solving.
  • This is not a traditional reporting role. The successful candidate will move rapidly from Data → Insight → Root Cause → Story → Recommendation → Action.
  • Role is Hybrid.

Key Responsibilities

  • Perform customer, operational, contact center, field operations, and customer experience analytics.
  • Analyze transcripts, technical calls, repeat calls, VOC data, customer journeys, and operational KPIs.
  • Identify root causes of business problems and provide actionable recommendations.
  • Build Databricks Apps and AI enabled analytics products.
  • Design and develop modern self service analytics experiences and applications.
  • Own analytics products from concept through adoption, including requirements gathering, design, development, testing, deployment, and continuous improvement.
  • Build executive ready dashboards with strong UI/UX and storytelling principles.
  • Create PowerPoint presentations explaining root causes, business impacts, and recommendations.
  • Leverage Copilot, Claude, Genie, and AI technologies to improve productivity and accelerate insights.
  • Contribute to the development of AI powered analytics products, intelligent agents, conversational analytics solutions, and decision support capabilities.
  • Define KPI logic, maintain certified datasets, and support a trusted KPI foundation.

Required Qualifications

  • Minimum 5 years of relevant experience in Analytics, Business Intelligence, Customer Intelligence, Data Analytics, or related fields.
  • Experience with Databricks, Databricks SQL, Lakehouse architecture, and Databricks Apps.
  • Demonstrated experience designing and building production ready Databricks Apps, analytics applications, or self service analytics products is required.
  • Strong SQL and analytical problem solving skills.
  • Experience working with large and complex datasets.
  • Experience creating executive dashboards and analytics solutions.
  • Experience creating executive ready PowerPoint presentations and storytelling.
  • Hands on experience using AI tools such as Microsoft Copilot, Claude, Databricks Genie, ChatGPT, or similar technologies.
  • Experience using AI to accelerate analysis, insight generation, content creation, and business recommendations.
  • Strong prompt engineering skills and demonstrated ability to effectively leverage AI tools.
  • Proven ability to independently manage end to end analytical projects from problem definition through recommendation and presentation.
  • Strong communication and presentation skills.

Preferred Qualifications

  • Experience building AI Agents, RAG solutions, conversational analytics, or agentic workflows.
  • Experience with Power BI, Tableau, or similar visualization platforms.
  • Python experience.
  • Telecom, Contact Center, Customer Experience, Customer Care, Workforce Management, Coaching Analytics, or Customer Intelligence experience is highly desirable.
  • Experience working with telecom call center data is considered a significant asset.
  • Experience designing and delivering analytics products from concept through adoption.
  • Experience applying prompt engineering techniques.
  • Experience analyzing customer interaction transcripts, unstructured text data, Voice of Customer (VOC), sentiment data, or conversational intelligence datasets.
  • Experience performing customer journey analysis.
  • Demonstrated ability to translate complex analytical findings into executive ready presentations.
  • Experience defining KPI frameworks, semantic data models, metric governance, and reusable business logic.
  • Experience driving adoption of analytics products, AI solutions, dashboards, or self service analytics capabilities.

Condition of Employment

  • As a condition of employment and in order to comply with industry related data security standards, this position is subject to the successful completion of a Criminal Background Check.

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