Analytics Engineer, Network Intelligence — Dashboards

Xplore Inc.; Canada; On-site; CAD 90,000 - 140,000; Full time

Job summary

Xplore Inc. in Canada seeks an Analytics Engineer for Network Intelligence to bridge raw network data and dashboards used by engineering, ops, and leadership.

You will own the semantic layer and Gold-tier analytical datasets across on-prem and cloud platforms, delivering reliable, well-documented analytical assets for real-time and historical insights. You will define KPI definitions, build Databricks AI/BI dashboards, and ensure data quality with automated checks, while collaborating with Data

Qualifications

• 5+ years of analytics engineering or BI experience in data-intensive environments.
• Expert SQL with complex analytics, window functions, and metric definitions.
• Hands-on Databricks, Unity Catalog, or equivalent modern data stack experience.
• Strong data modeling knowledge: star schema and SCDs.
• Able to translate business questions into well-defined analytics datasets.

Responsibilities

• Define, document, and maintain KPI definitions for network health and customer experience.
• Build and own the semantic layer and self-serve analytics assets.
• Design dashboards in Databricks AI/BI for real-time and historical insights.
• Develop automated alerting and correlation views to reduce noise.
• Create curated Gold-tier tables across on-prem and cloud platforms using SQL and PySpark.
• Implement data quality checks and validate outputs before consumption.
• Partner with Data Engineers to surface upstream quality issues and guide transformations.
• Serve as SME for network and operations data consumers; support adoption.
• Produce data dictionaries, lineage docs, and onboarding guides.

Skills

Advanced SQL

Databricks

Python

Data modeling

BI development

Education

Bachelor's degree in CS or related

Tools

Snowflake

BigQuery

dbt

Job description

Xplore Inc. in Canada seeks an Analytics Engineer for Network Intelligence to bridge raw network data and dashboards used by engineering, ops, and leadership.

You will own the semantic layer and Gold-tier analytical datasets across on-prem and cloud platforms, delivering reliable, well-documented analytical assets for real-time and historical insights. You will define KPI definitions, build Databricks AI/BI dashboards, and ensure data quality with automated checks, while collaborating with Data