Data Analyst – Power BIMicrosoft Fabric (35903)

Myticas Consulting Inc.; Ottawa; On-site; CAD 90,000 - 107,000; Full time

Benefits offered by this job

Full benefits

Job summary

Myticas Consulting Inc. is seeking a Data Analyst in Ottawa, on-site, to join a collaborative technology and data team. You will design and maintain dashboards and reports using Power BI, Microsoft Fabric, and Azure data services, translating business needs into actionable insights.

Ideal candidates have 3+ years in data analytics, strong SQL and Python/Pandas skills, and experience with data modeling. This role emphasizes stakeholder engagement, governance, and scalable analytics solutions.

Qualifications

• 3+ years of data analysis or BI experience.
• 3+ years developing Power BI reports and dashboards.
• Strong SQL skills and data modelling experience.

Responsibilities

• Design and maintain Power BI dashboards, reports for operational and executive audiences.
• Develop and optimize SQL queries across multiple systems.
• Build dimensional data models to support reporting and analytics.
• Develop data solutions using Microsoft Fabric (Lakehouse/Warehouse) and Azure Data Services.
• Integrate structured and semi-structured data from APIs and data sources.
• Use Python/Pandas for data prep and automation.
• Translate stakeholder requirements into analytic solutions.
• Ensure data quality, governance, and security compliance.
• Collaborate with technical teams and external vendors.

Skills

Power BI

SQL

Python/Pandas

Data visualization

Requirements gathering

Education

Post-secondary degree/diploma in CS/Data Analytics/Math/Statistics/Business

Tools

Microsoft Fabric (Lakehouse/Warehouse)

Azure Data Services

APIs

Job description

Data Analyst – Power BI / Microsoft Fabric

Location: Ottawa, ON – On-site

Hours: 40 hours/week (8 hours/day)

Start: ASAP

Compensation: $90,000–$106,740

Benefits: Full benefits

Clearance: Must be eligible to successfully complete the required background/security screening

THE OPPORTUNITY

We are seeking a Data Analyst to join a highly collaborative technology and data team supporting a complex, operational environment in Ottawa.

This is an excellent opportunity for a junior-to-mid-level Data Analyst with strong Power BI, SQL and Microsoft data technologies experience who enjoys turning data into meaningful dashboards, reporting and business insights.

Reporting to a senior technology leader and working closely with a Data Architect, you will design and maintain dashboards, reports, data models and analytical solutions using Microsoft Fabric, Power BI and related Azure/cloud analytics technologies.

This is also a stakeholder-facing role. Strong communication, listening skills and the ability to understand business requirements and explain data clearly are equally important to technical capability.

What You'll Do

• Design, develop and maintain Power BI dashboards, reports, visualizations and performance metrics for operational and executive audiences.
• Develop and optimize SQL queries to extract, transform and analyze data from multiple systems.
• Build and maintain dimensional and semantic data models supporting reporting and self-service analytics.
• Develop data solutions using Microsoft Fabric, including Lakehouse and Warehouse workloads, and related Azure Data Services.
• Integrate structured and semi-structured data from APIs, JSON, file-based exchanges and relational databases.
• Use Python/Pandas for data preparation, automation and analysis.
• Gather and understand stakeholder requirements and translate them into effective analytical and reporting solutions.
• Analyze complex datasets and communicate findings as clear, actionable business insights.
• Support data quality, consistency, documentation, governance, privacy and security requirements.
• Help evaluate, improve and automate existing reporting processes and systems.
• Work closely with technical teams, business stakeholders and external vendors/service providers.

What We're Looking For

• Post-secondary degree/diploma in Computer Science, Data Analytics, Mathematics, Statistics, Business or a related field, or equivalent education and experience.
• 3+ years of experience in data analysis, business intelligence, reporting or a related analytical role.
• 3+ years developing Power BI reports and dashboards.
• Strong SQL skills, including querying, transforming and analyzing large datasets.
• Experience with dimensional data modelling.
• Experience with Microsoft Fabric (Lakehouse/Warehouse), Azure Data Services or comparable modern cloud analytics platforms.
• Experience with Python/Pandas.
• Experience integrating data using APIs, JSON, file-based exchanges and relational databases.
• Ability to work with structured and semi-structured data from multiple sources.
• Proven ability to translate business requirements into analytical solutions.
• Ability to analyze complex information and present findings clearly to both technical and non-technical stakeholders.
• Strong communication and listening skills, professional presence and a clear, structured approach to problem-solving.
• Comfortable working directly with business users, customers and stakeholders.

NICE TO HAVE

• Microsoft certifications such as Fabric Analytics Engineer Associate or Power BI Data Analyst Associate.
• Tableau experience and exposure to other BI/reporting technologies such as Qlik, Looker, SSRS or advanced Excel.
• Experience with Snowflake, AWS or Google Cloud Platform (GCP).
• Experience in aviation, transportation or another complex 24/7 operational environment.
• Knowledge of data governance, privacy and information security practices.
• Experience with operational performance metrics and reporting standards.
• Ability to communicate in English and French is an asset.

Who Will Succeed In This Role

You don't need to be the most senior technical person in the room. We're looking for someone who combines solid hands-on data skills with the ability to listen, understand requirements, communicate clearly and work collaboratively.

You should be technically adaptable, comfortable taking direction from senior data/technology professionals, and confident interacting directly with stakeholders to turn their requirements into useful, reliable data solutions.

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