Business Intelligence Architect – Data Strategy & Analytics

Job Title: Business Intelligence Architect – Data Strategy & Analytics
Company: Solen Software Group
Location: Toronto, Canada
Employment Type : Contract
About Solen Software Group: Solen Software Group is an evergreen holding company that acquires and operates proven software businesses that have significant growth potential in a variety of vertical markets, enabling them to be market leaders in their niche industry. Solen owns several software companies in various market spaces: Human Resource Technology, Fleet Telematics, Asset Management,  E-Health, Document Management, and other innovative software solutions in a variety of industries. Solen is backed by a group of advisors and investors that have built software businesses of material scale (10-100M in ARR) and advised many.

About the role: We’re seeking a highly skilled Business Intelligence Architect to lead our data strategy and analytics initiatives. This role bridges the gap between raw data and strategic insights, helping the company make data-driven decisions across operations, finance, and portfolio management. You'll collaborate with stakeholders, design scalable data solutions, and develop compelling dashboards and models to visualize business performance—especially within a private equity operating context.
The successful candidate will work from close to our offices in Toronto / Hybrid.
Key Responsibilities:

Lead Data Strategy & Governance

• Act as the strategic liaison for aligning enterprise data strategy with business objectives.
• Create and centralize data connections across platforms (e.g., Sage Intacct), within a governed and standardized data framework.
• Champion DRY (Don’t Repeat Yourself) development principles and scalable data infrastructure.
• Define and implement data governance policies to ensure consistency, accuracy, and security across systems.
• Build reusable routines for collaborative reporting and company-wide analytics enablement.

Build and Optimize Data Solutions

• Design and maintain robust data models for consistent and accurate representation across business domains.
• Transform raw data into structured datasets using ETL tools and best practices.
• Develop and optimize Power BI dashboards and reports to visualize key performance indicators (KPIs), trends, and insights.
• Ensure ongoing optimization and performance tuning of Power BI solutions.

Data Analysis & Business Insight Delivery

• Perform deep data analysis to uncover trends, patterns, and actionable insights.
• Construct predictive and descriptive analytics models to support strategic initiatives.
• Translate technical findings into business-friendly insights to drive value creation and efficiency.
• Partner with Finance, Operations, and leadership to deliver visibility into company and portfolio-level performance.

Stakeholder Collaboration & Training

• Work closely with business users, portfolio company teams, and internal departments to gather and translate data needs into technical solutions.
• Train and support end-users in navigating and utilizing Power BI dashboards and analytics tools.
• Support deal execution teams by contributing to financial modeling, diligence activities, and performance tracking of portfolio companies.

Support Private Equity-Specific Data Needs

• Understand the private equity investment lifecycle, from deal sourcing to post-investment monitoring.
• Provide analytics support for investment decisions, deal execution, and operational improvements across portfolio companies.
• Drive insights to support value creation planning, portfolio monitoring, and board reporting.
  

Key Requirements:

• 3+ years of experience with Power BI (desktop and service), including DAX, data modeling, and dashboard development are mandatory.
• Strong SQL skills and experience with data extraction, transformation, and loading (ETL).
• Experience with big data tools and scripting languages (e.g., Python, Teradata).
• Experience with Sage Intacct is an asset.
• Solid understanding of data governance, architecture, and best practices.
• Proven track record in building data models and delivering actionable insights to stakeholders.
• Ability to communicate complex data concepts to both technical and non-technical audiences.
• Experience in project and stakeholder management.

Nice-to-Have Skills

• Experience with Datameer, Tableau, or other BI tools.
• Familiarity with private equity (PE) or venture capital (VC) operations.
• Background in financial modeling or deal analysis.
• Automation skills using Python or PySpark.
• Experience with implementing enterprise data platforms and analytics strategies.

What’s in It for You

• Play a pivotal role in shaping the company’s data strategy and analytics maturity.
• Work within a collaborative, high-performance environment at the intersection of operations, finance, and investment.
• Make a measurable impact through the delivery of real-time, data-driven insights.
• Opportunities for career growth and continuous learning in a forward-thinking, analytics-first culture.
  

We thank all applicants for their interest; however, only those selected for an interview will be contacted.