RQ07952 - Sr. Business Intelligence Specialist Must Haves:

Demonstrates experience working and communicating directly with stakeholders

Managing high volumes of data

R Scripting

Power BI

Nice to Have:

Public Sector Experience

Responsibilities:

Support client wide‑range business information requirements, implementing and supporting business intelligence software solutions

Develop and support customized query applications that analyze key business data

Develop and support guided analysis and drill‑down functionality, schedule report generation, and implement opportunity and key‑trend alerts

Provide clients with approach options and tools for managing business‑related data to support quantitative analysis of progress and the relationship between operational actions and business objectives

General Skills:

Experience analyzing data in source systems to identify data cleanliness issues (e.g., missing values, duplicate values, and invalid data)

Experience developing feedback processes to correct corrupt data in source systems

Experience developing data extraction, transformation, and load (ETL) programs for daily and initial loads across relational and multi‑dimensional data stores

Experience developing, implementing, and maintaining schedule/dependency logic for ETL scripts

Experience developing monitoring and error‑notification processes to ensure data is updated as designed

Experience developing automation extraction, cleansing, and load scripts

Experience generating research models and reports (scheduled and ad‑hoc)

Proven troubleshooting and analytical experience

Experience in process decomposition/mapping and business process re‑engineering,



and complex data models using UML

Experience using development tools and business re‑engineering software

Experience developing enterprise architecture deliverables (business, logical, and physical models) based on Enterprise Application Processes and Modeling methodology and guidelines

Knowledge and experience developing data analysis applications

Knowledge and understanding of Information Management principles, concepts, policies and practices

Ability to advise on developing and integrating process and information models to eliminate redundant business processes

Hands‑on experience documenting interface specifications between BI solutions and external applications

Extensive experience with conceptual, logical, and physical data‑modeling tools such as Power Designer and Visio

Knowledge of Accessibility for Ontarians with Disability Act (AODA) and related regulations and standards

Key Deliverables:

Support, influence, and impact the use of analytics and strategy across the enterprise

Help develop and support analytics tools and best practices across the enterprise

Provide consulting services to ministry business partners regarding their information consumption and analytical needs

Participate in creating detailed plans and accurate estimates for development, testing,



and implementation of projects or programs

Contribute to successful project completion by identifying risks and recommending mitigation strategies

Participate in Proof of Concept or Proof of Technology projects

Expertise & Training for Business Users:

Help develop proposals and feasibility studies for small to medium projects; conduct technology research, evaluate analytics tools, and produce strategy/direction papers

Provide advice and guidance in advanced statistical modeling, econometrics tools, and techniques

Provide planning advice on data use and capacity building for advanced analytics and data analysis within the ministryProvide guidance on the statistical relevance of data to project teams

Scope:

The consultant must have a minimum of 10+ years of the following skills and experience:

Experience communicating with business stakeholders and providing guidance to ensure successful project delivery on time

Experience working with and analyzing large, diverse data sets; identifying relationships and themes for policy development

Solid knowledge of designing, developing, and implementing analytics solutions using administrative data

Knowledge of statistical and modeling techniques (econometrics, probability, inference, regression, machine learning, etc.)

Knowledge of advanced data visualization tools and statistics and analytical tools (R/SAS/SPSS; R Shiny, Power BI, Tableau)

Strong interpersonal, written, and oral communication skills across all levels

Excellent analytical, problem‑solving, and decision‑making skills, and a team‑working attitude

Outstanding consu

📌 Sr. Business Intelligence Specialist (Toronto)
🏢 Rubicon Path
📍 Toronto