Working alongside existing programs and technical staff, the Data Analyst provides focused analytical capacity during the model design and build phases. This includes validating and testing core data models, canonical definitions, and Unified Business Object designs using real environmental monitoring and regulatory data to ensure the data foundation reflects how the business operates.

Responsibilities

A. Model Validation

Test proposed canonical elements against actual datasets.

Validate Unified Business Object model assumptions using:

Historical monitoring data

Reporting templates

Program specific datasets

Surface edge cases early during design and build phases.

B. Semantic analysis at the core data layers

Analyze:

Measurement comparability

Unit normalization issues





Data type and temporal consistency (e.g., sample dates vs reporting dates)

Identify where:

Standardization is secure vs. standardization would break meaning

Produce evidence-based recommendations to support the data architecture.

C. Analytical Prototyping in the Data Management Platform

Build exploratory analytical views to test:

Aggregation behavior

Trend stability

Query feasibility at scale, especially for large, ambient monitoring datasets

Answer questions like:

Can this model support cross program trend analysis?

Does the chosen data model work at scale?
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📌 Data Analyst Hybrid Alberta
🏢 Pathlion
📍 Alberta