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Ripotek Technologies Inc.

Design. Engineer. Deliver.

Calgary, Alberta

www.ripotek.com

training@ripotek.com

Business Intelligence Analyst

Professional Training Program Syllabus

Program Overview

Duration

12 Weeks (2 sessions per week)

24 total sessions, 72 instructional hours

Investment

CAD $700

Flexible payment plans available

Schedule

Tuesday/Thursday

6:00 PM - 9:00 PM Mountain Time

Certification

Ripotek BI Analyst Certificate

Industry-recognized credential

Program Description

The Business Intelligence Analyst program provides end-to-end training in the complete BI lifecycle, from requirements gathering to dashboard delivery. This practical program combines business analysis fundamentals, data modeling, visualization best practices, and stakeholder communication skills.

You'll learn to translate business questions into data requirements, design dimensional models, create compelling visualizations, and present insights effectively. The program uses Power BI, Excel, and SQL to prepare you for real-world BI analyst roles across industries.

Learning Outcomes

Upon completion, you will be able to:

Gather and document business requirements
Design dimensional data models
Write SQL queries for analysis
Create KPI frameworks and metrics
Build interactive dashboards
Perform ad-hoc analysis
Apply data storytelling techniques
Present insights to stakeholders
Document BI solutions
Support data-driven decision making

12-Week Curriculum

Week 1: Business Intelligence Fundamentals

  • BI concepts and lifecycle
  • Role of a BI analyst
  • Data warehouse vs data lake
  • BI tools landscape

Week 2: Requirements Gathering

  • Stakeholder interviews
  • Documenting requirements
  • Defining success metrics
  • Project scoping

Week 3: SQL for Analysis

  • Advanced queries and joins
  • Window functions
  • CTEs and subqueries
  • Performance optimization

Week 4: Dimensional Modeling

  • Star schema design
  • Fact and dimension tables
  • SCD types
  • Data modeling best practices

Week 5: Excel for Analysis

  • Power Query in Excel
  • Pivot tables mastery
  • Advanced formulas
  • Excel dashboards

Week 6: KPIs and Metrics

  • Defining KPIs
  • Metric frameworks
  • Leading vs lagging indicators
  • Balanced scorecards

Week 7: Data Visualization Principles

  • Chart selection
  • Color theory
  • Dashboard design
  • Avoiding common mistakes

Week 8: Power BI Essentials

  • Building reports
  • DAX basics
  • Interactive features
  • Publishing and sharing

Week 9: Ad-Hoc Analysis

  • Exploratory data analysis
  • Statistical analysis basics
  • Trend analysis
  • Root cause analysis

Week 10: Data Storytelling

  • Narrative structures
  • Communicating insights
  • Executive presentations
  • Influence through data

Week 11: BI Best Practices

  • Documentation standards
  • Version control
  • Testing and validation
  • Maintenance strategies

Week 12: Capstone Project

  • End-to-end BI solution
  • Stakeholder presentation
  • Portfolio development
  • Career planning

Career Services

Support Includes:

  • Resume optimization
  • Interview preparation
  • Portfolio development
  • Employer connections

Typical Roles:

  • Business Intelligence Analyst
  • Data Analyst
  • Reporting Analyst
  • Business Analyst
85%
Placement Rate
90 days
Average Time
$60K+
Avg Starting Salary