Intelligence Analytics Engineer

Xplore Inc.

Ottawa, CAN

Full Time

Mid

Hybrid

1 weeks ago

SQLDatabricksData AnalyticsBusiness IntelligenceDashboard DesignPython

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SQLDatabricksData Analytics

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About the Role

Xplore is building an AI-Enabled Customer Intelligence & Analytics Centre of Excellence and seeks an Intelligence Analytics Engineer. You will perform customer and operational analytics, build Databricks Apps and AI-enabled analytics products, and create executive dashboards.

Key Skills for This Role

SQLDatabricksData AnalyticsBusiness IntelligenceDashboard DesignPython

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
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

Requirements

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
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
Strong prompt engineering skills
Proven ability to independently manage end to end analytical projects

Full Job Posting

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.

Key Responsibilities Include

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.
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.
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.
Strong prompt engineering skills.
Proven ability to independently manage end to end analytical projects.
Strong communication and presentation skills.
Ability to independently perform root cause analysis and provide recommendations.

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.
Experience working with telecom call center data.
Experience designing and delivering analytics products from concept through adoption.
Experience applying prompt engineering techniques.
Experience analyzing customer interaction transcripts, unstructured text data, VOC, sentiment data.
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.
Experience driving adoption of analytics products.

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