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Added 8 mins ago
Z
Senior Software Developer
Zynga
Toronto, ON
- $99,800 to $147,680 CAD / year
…work in a team with dynamic strengths. The Senior Software Engineer will be working with a complementary team of software engineers to craft and maintain Zynga’s core Payments platform,…
Added 22 mins ago
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- Full-time
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Added 22 mins ago
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Added 23 mins ago
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Added 37 mins ago
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Added 51 mins ago
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- Full-time
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Added 51 mins ago
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Added 51 mins ago
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Added 53 mins ago
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Added 53 mins ago
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Added 53 mins ago
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Added 1 hour ago
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Senior Applied Intelligence Platform Engineer
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Toronto, ON
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Xplore Inc.

Analytics Engineer, Network Intelligence

Canada

Full-time

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Job details

Job type: Full-time
Experience: 5+ years of analytics engineering, BI development, or data analysis experience in a data-intensive environment.
Posting language: English
Posted: Oct 5, 2026

Original job description

Xplore Inc. is Canada’s fibre, 5G and satellite broadband company for rural living. Xplore is committed to the relentless pursuit of an improved broadband experience for all Canadians. Xplore is building a world-class fibre optic and 5G wireless network to enable innovative broadband services for better every day rural living, for today and future generations.

Role Overview

As an Analytics Engineer for Network Intelligence on Data & AI team, you will bridge the gap between Xplore's raw network and operational data and the dashboards, KPIs, and self-serve analytics that engineering, operations, and leadership teams rely on daily.

You will own the semantic layer, curated Gold-tier analytical datasets across both on-prem and cloud data platforms, and Databricks AI/BI dashboards that surface real-time and historical network intelligence across Fiber, Fixed Wireless, and Satellite domains. This role is not limited to cloud migration work: it also requires designing, building, and operating analytical datasets, transformations, and reporting assets directly on-prem where business and operational needs require it. Unlike a pure data engineer who focuses on pipeline infrastructure, or a data scientist focused on modeling, your specialty is making data reliable, understood, and usable by the widest possible audience: you own metric definitions, dashboard governance, and the translation of operational data needs into clean, documented analytical assets.

Key Responsibilities Include

Define, document, and maintain canonical KPI and metric definitions for network health, incident volume, capacity utilization, and customer experience indicators in Unity Catalog.
Build and own the semantic layer (Databricks AI/BI datasets) underpinning self-serve analytics for network operations, engineering, and leadership stakeholders.
Design and build operational and executive dashboards in Databricks AI/BI covering real-time network health, incident trends, performance benchmarks, and customer impact metrics.
Develop automated alerting and correlation views that reduce noise for network operations teams and accelerate root cause identification.
Build curated Gold-tier analytical tables and transformation layers across both on-prem and cloud platforms using SQL and PySpark, applying business logic, aggregations, and dimensional modeling patterns.
Implement data quality checks and automated validation to ensure analytical outputs are accurate before reaching business consumers.
Partner with Data Engineers to surface upstream data quality issues and define requirements for Silver-to-Gold transformations.
Act as the subject matter expert for network and operations data consumers, supporting self-serve analytics adoption across engineering and ops teams.
Produce clear data dictionaries, lineage documentation, and onboarding guides for all owned analytical assets.
Support executive-level reporting with accurate, clearly structured KPI outputs tied to network quality and customer experience.

The Ideal Candidate Will Possess

5+ years of analytics engineering, BI development, or data analysis experience in a data-intensive environment.
Expert SQL skills: complex analytical queries, window functions, dimensional modeling, and metric grain definitions at scale.
Hands-on Databricks experience: SQL Warehouses, AI/BI Dashboards, and Unity Catalog; or equivalent modern data stack experience (Snowflake, BigQuery+ Looker or dbt).
Strong understanding of data modeling concepts: star schema, slowly changing dimensions, and single-source-of-truth metric governance.
Demonstrated ability to translate ambiguous business questions into well-defined analytical datasets and dashboard specifications.
Proficiency in Python for lightweight transformations and pipeline scripting.
Excellent written and verbal communication skills; comfort presenting analytical findings to Director and VP-level audiences.

Preferred Qualifications

Experience building and supporting analytics or transformation layers on-prem as well as in Databricks/cloud environments; not limited to migration initiatives.
Background in network operations, telecommunications, or infrastructure analytics.
Familiarity with Grafana, Datadog, or Prometheus as complementary network observability tools.
Experience designing role-based access controls and data governance frameworks in a cloud or on-prem data platform.
Bachelor's degree in Computer Science, Information Systems, Mathematics, or a related field.

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. Details will be supplied to applicants as they move through the selection process.

Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.

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More about this job

Responsibilities

Own canonical network KPI definitions, the semantic layer, curated Gold-tier datasets, and dashboards across on-premises and cloud platforms. Build data quality checks, alerting and correlation views, documentation, and self-service analytics while supporting operational and executive reporting.

Requirements

Requires 5+ years of analytics engineering, BI development, or data analysis experience, expert SQL, hands-on Databricks or equivalent modern data stack experience, and strong data modeling skills. Candidates should also be proficient in Python, able to translate business needs into analytical assets, and communicate findings effectively; a related bachelor's degree and telecommunications or network analytics experience are preferred.

Skills

SQL
Databricks
Databricks AI/BI Dashboards
Unity Catalog
PySpark
Python
Analytics Engineering
Business Intelligence
Semantic Layer Design
Dimensional Modeling
Data Quality Validation
KPI Governance
Dashboard Development
Data Governance
Network Operations Analytics
Data Documentation

Visa sponsorship

Not detected in the job text

Keywords

Analytics Engineering
Business Intelligence
Network Intelligence
Telecommunications
SQL
PySpark
Python
Databricks
Databricks SQL Warehouses
Databricks AI/BI Dashboards
Unity Catalog
Snowflake
BigQuery
Looker
dbt
Semantic Layer
Gold-Tier Datasets
Dimensional Modeling
Star Schema
Slowly Changing Dimensions
KPI Governance
Data Quality
Data Lineage
Self-Service Analytics
Network Operations
Network Observability
Grafana
Datadog
Prometheus
Role-Based Access Control

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